Powered by Deep Web Technologies
Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Transferring 2001 National Household Travel Survey  

Science Conference Proceedings (OSTI)

Policy makers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and to accommodate future demand. These data are also needed to assess the feasibility and efficiency of alternative congestion-mitigating technologies (e.g., high-speed rail, magnetically levitated trains, and intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. In 2001, the survey was renamed the National Household Travel Survey (NHTS) and it collected both daily and long-distance trips. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel were not part of the survey. Due to the survey's design, data in the NHTS survey series were not recommended for estimating travel statistics for categories smaller than the combination of Census division (e.g., New England, Middle Atlantic, and Pacific), MSA size, and the availability of rail. Extrapolating NHTS data within small geographic areas could risk developing and subsequently using unreliable estimates. For example, if a planning agency in City X of State Y estimates travel rates and other travel characteristics based on survey data collected from NHTS sample households that were located in City X of State Y, then the agency could risk developing and using unreliable estimates for their planning process. Typically, this limitation significantly increases as the size of an area decreases. That said, the NHTS contains a wealth of information that could allow statistical inferences about small geographic areas, with a pre-determined level of statistical certainty. The question then becomes whether a method can be developed that integrates the NHTS data and other data to estimate key travel characteristics for small geographic areas such as Census tract and transportation analysis zone, and whether this method can outperform other, competing methods.

Hu, Patricia S [ORNL; Reuscher, Tim [ORNL; Schmoyer, Richard L [ORNL; Chin, Shih-Miao [ORNL

2007-05-01T23:59:59.000Z

2

Characterizing Walk Trips in communities by Using Data from 2009 National Household Travel Survey, American Community Survey, and Other Sources  

SciTech Connect

Non-motorized travel (i.e. walking and bicycling) are of increasing interest to the transportation profession, especially in context with energy consumption, reducing vehicular congestion, urban development patterns, and promotion of healthier life styles. This research project aimed to identify factors impacting the amount of travel for both walk and bike trips at the Census block group or tract level, using several public and private data sources. The key survey of travel behavior is the 2009 National Household Travel Survey (NHTS) which had over 87,000 walk trips for persons 16 and over, and over 6000 bike trips for persons 16 and over. The NHTS, in conjunction with the Census Bureau s American Community Survey, street density measures using Census Bureau TIGER, WalkScore , Nielsen Claritas employment estimates, and several other sources were used for this study. Stepwise Logistic Regression modeling techniques as well as Discriminant Analysis were applied using the integrated data set. While the models performed reasonably well for walk trips, travel by bike was abandoned due to sparseness of data. This paper discusses data sources utilized and modeling processes conducted under this study. It also presents a summary of findings and addresses data challenges and lesson-learned from this research effort.

Hwang, Ho-Ling [ORNL; Reuscher, Tim [Macrosys; Wilson, Daniel W [ORNL; Murakami, Elaine [FHWA USDOT

2013-01-01T23:59:59.000Z

3

New York Household Travel Patterns: A Comparison Analysis  

SciTech Connect

In 1969, the U. S. Department of Transportation began collecting detailed data on personal travel to address various transportation planning issues. These issues range from assessing transportation investment programs to developing new technologies to alleviate congestion. This 1969 survey was the birth of the Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990 and 1995. Longer-distance travel was collected in 1977 and 1995. In 2001, the survey was renamed to the National Household Travel Survey (NHTS) and collected both daily and longer-distance trips in one survey. In addition to the number of sample households that the national NPTS/NHTS survey allotted to New York State (NYS), the state procured an additional sample of households in both the 1995 and 2001 surveys. In the 1995 survey, NYS procured an addition sample of more than 9,000 households, increasing the final NY NPTS sample size to a total of 11,004 households. Again in 2001, NYS procured 12,000 additional sample households, increasing the final New York NHTS sample size to a total of 13,423 households with usable data. These additional sample households allowed NYS to address transportation planning issues pertinent to geographic areas significantly smaller than for what the national NPTS and NHTS data are intended. Specifically, these larger sample sizes enable detailed analysis of twelve individual Metropolitan Planning Organizations (MPOs). Furthermore, they allowed NYS to address trends in travel behavior over time. In this report, travel data for the entire NYS were compared to those of the rest of the country with respect to personal travel behavior and key travel determinants. The influence of New York City (NYC) data on the comparisons of the state of New York to the rest of the country was also examined. Moreover, the analysis examined the relationship between population density and travel patterns, and the similarities and differences among New York MPOs. The 1995 and 2001 survey data make it possible to examine and identify travel trends over time. This report does not address, however, the causes of the differences and/or trends.

Hu, Patricia S [ORNL; Reuscher, Tim [ORNL

2007-05-01T23:59:59.000Z

4

Racial and demographic differences in household travel and fuel purchase behavior  

Science Conference Proceedings (OSTI)

Monthly fuel purchase logs from the Residential Energy Consumption Survey's Household Transportation Panel (TP) were analyzed to determine the relationship between various household characteristics and purchase frequency, tank inventories, vehicle-miles traveled, and fuel expenditures. Multiple classification analysis (MCA) was used to relate observed differences in dependent variables to such index-type household characteristics as income and residence location, and sex, race and age of household head. Because it isolates the net effect of each parameter, after accounting for the effects of all other parameters, MCA is particularly appropriate for this type of analysis. Results reveal clear differences in travel and fuel purchase behavior for four distinct groups of vehicle-owning households. Black households tend to own far fewer vehicles with lower fuel economy, to use them more intensively, to purchase fuel more frequently, and to maintain lower fuel inventories than white households. Similarly, poor households own fewer vehicles with lower fuel economy, but they drive them less intensively, purchase fuel more frequently, and maintain lower fuel inventories than nonpoor households. Elderly households also own fewer vehicles with lower fuel economy. But since they drive them much less intensively, their fuel purchases are much less frequent and their fuel inventories are higher than nonelderly households. Female-headed households also own fewer vehicles but with somewhat higher fuel economy. They drive them less intensively, maintain higher fuel inventories, and purchase fuel less frequently than male-headed households. 13 refs., 8 tabs.

Gur, Y.; Millar, M.

1987-01-01T23:59:59.000Z

5

ANALYSIS OF CEE HOUSEHOLD SURVEY NATIONAL AWARENESS OF ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

ANALYSIS OF CEE HOUSEHOLD SURVEY ANALYSIS OF CEE HOUSEHOLD SURVEY NATIONAL AWARENESS OF ENERGY STAR ® FOR 2012 TABLE OF CONTENTS Acknowledgements .................................................................................. ii Executive Summary ............................................................................ ES-1 Introduction ............................................................................................... 1 Methodology Overview ............................................................................. 2 Key Findings ............................................................................................. 5 Recognition .................................................................................................................. 5 Understanding ........................................................................................................... 12

6

Nationwide Survey on Household Energy Use  

U.S. Energy Information Administration (EIA)

4 ~ Apartment in house or building divided into 2, 3, or 4 apartments ... of your family (living in your household). Include income from all sources--before taxes

7

Table 2. Percent of Households with Vehicles, Selected Survey Years  

U.S. Energy Information Administration (EIA) Indexed Site

Percent of Households with Vehicles, Selected Survey Years " Percent of Households with Vehicles, Selected Survey Years " ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",85.5450237,89.00343643,88.75545852,89.42917548,87.25590956,92.08566108 "Household Characteristics" "Census Region and Division" " Northeast",77.22222222,"NA",79.16666667,82.9015544,75.38461538,85.09615385 " New England",88.37209302,"NA",81.81818182,82.9787234,82,88.52459016 " Middle Atlantic ",73.72262774,"NA",78.37837838,82.31292517,74.30555556,83.67346939 " Midwest ",85.51401869,"NA",90.66666667,90.17094017,92.30769231,91.47286822 " East North Central",82,"NA",88.81987578,89.88095238,91.51515152,90.55555556

8

Data Processing Procedures and Methodology for Estimating Trip Distances for the 1995 American Travel Survey (ATS)  

SciTech Connect

The 1995 American Travel Survey (ATS) collected information from approximately 80,000 U.S. households about their long distance travel (one-way trips of 100 miles or more) during the year of 1995. It is the most comprehensive survey of where, why, and how U.S. residents travel since 1977. ATS is a joint effort by the U.S. Department of Transportation (DOT) Bureau of Transportation Statistics (BTS) and the U.S. Department of Commerce Bureau of Census (Census); BTS provided the funding and supervision of the project, and Census selected the samples, conducted interviews, and processed the data. This report documents the technical support for the ATS provided by the Center for Transportation Analysis (CTA) in Oak Ridge National Laboratory (ORNL), which included the estimation of trip distances as well as data quality editing and checking of variables required for the distance calculations.

Hwang, H.-L.; Rollow, J.

2000-05-01T23:59:59.000Z

9

SUPPLEMENTAL ENERGY-RELATED DATA FOR THE 2001 NATIONAL HOUSEHOLD ...  

U.S. Energy Information Administration (EIA)

... vehicle manufacturer, vehicle model, vehicle model year, and vehicle type – several ENERGY INFORMATION ADMINISTRATION/2001 NATIONAL HOUSEHOLD TRAVEL SURVEY K-23 ...

10

National Household Travel Survey (2009)

The 2009 National...  

Open Energy Info (EERE)

level, etc.); and

  • vehicle attributes (make, model, model year, amount of miles driven in a year).
      • These data are collected for:

        ...

  • 11

    National Household Travel Survey (2009) | OpenEI  

    Open Energy Info (EERE)

    education level, etc.); and vehicle attributes (make, model, model year, amount of miles driven in a year). These data are collected for: all trips, all modes, all purposes,...

    12

    An Econometric Analysis of the Elasticity of Vehicle Travel with Respect to Fuel Cost per Mile Using RTEC Survey Data  

    Science Conference Proceedings (OSTI)

    This paper presents the results of econometric estimation of the ''rebound effect'' for household vehicle travel in the United States based on a comprehensive analysis of survey data collected by the U.S. Energy Information Administration (EIA) at approximately three-year intervals over a 15-year period. The rebound effect is defined as the percent change in vehicle travel for a percent change in fuel economy. It summarizes the tendency to ''take back'' potential energy savings due to fuel economy improvements in the form of increased vehicle travel. Separate vehicles use models were estimated for one-, two-, three-, four-, and five-vehicle households. The results are consistent with the consensus of recently published estimates based on national or state-level data, which show a long-run rebound effect of about +0.2 (a ten percent increase in fuel economy, all else equal, would produce roughly a two percent increase in vehicle travel and an eight percent reduction in fuel use). The hypothesis that vehicle travel responds equally to changes in fuel cost-per-mile whether caused by changes in fuel economy or fuel price per gallon could not be rejected. Recognizing the interdependency in survey data among miles of travel, fuel economy and price paid for fuel for a particular vehicle turns out to be crucial to obtaining meaningful results.

    Greene, D.L.; Kahn, J.; Gibson, R.

    1999-03-01T23:59:59.000Z

    13

    EIA - Household Transportation report: Household Vehicles ...  

    U.S. Energy Information Administration (EIA)

    This report, Household Vehicles Energy Use: Latest Data & Trends, provides details on the nation's energy use for household passenger travel. A primary purpose of ...

    14

    Household Vehicles Energy Consumption 1991  

    U.S. Energy Information Administration (EIA) Indexed Site

    3. 3. Vehicle Miles Traveled This chapter presents information on household vehicle usage, as measured by the number of vehicle miles traveled (VMT). VMT is one of the two most important components used in estimating household vehicle fuel consumption. (The other, fuel efficiency, is discussed in Chapter 4). In addition, this chapter examines differences in driving behavior based on the characteristics of the household and the type of vehicle driven. Trends in household driving patterns are also examined using additional information from the Department of Transportation's Nationwide Personal Transportation Survey (NPTS). Household VMT is a measure of the demand for personal transportation. Demand for transportation may be viewed from either an economic or a social perspective. From the economic point-of-view, the use of a household vehicle represents the consumption of one

    15

    National Household Travel Survey (NHTS): Travel Trends, Analysis and Data Tools  

    E-Print Network (OSTI)

    of the nation's transportation system to meet current demands and accommodate future demands; to assess of alternative transportation investment programs; and to assess the energy-use and air-quality impacts Analysis Data, Statistical Analysis Geo-Spatial Information Tools Defense Transportation Energy Policy

    16

    The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

    E-Print Network (OSTI)

    HOW MANY HYBRID HOUSEHOLDS IN THE CALIFORNIA NEW CAR MARKET?average 2.43 cars per household, then the hybrid householdnumber of multi-car households that fit our hybrid household

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01T23:59:59.000Z

    17

    The Dynamics of Household Travel Time Expenditures and Car Ownership Decisions  

    E-Print Network (OSTI)

    or more of the others (say, car usage as a function of carnumberof workers, explains car usage, but not car ownership;locations imply higher car usage in terms of travel times

    Golob, Thomas F.

    1990-01-01T23:59:59.000Z

    18

    Feed the Future Bangladesh: Baseline Integrated Household Survey | Data.gov  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Feed the Future Bangladesh: Baseline Integrated Household Survey Feed the Future Bangladesh: Baseline Integrated Household Survey Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture » Data Feed the Future Bangladesh: Baseline Integrated Household Survey Dataset Summary Description The Bangladesh Integrated Household Survey dataset is a thorough assessment of current standard of food security in Bangladesh taken from 2011-2012. The dataset includes all baseline household surveys made under the USAID-led Feed the Future initiative, a collaborative effort that supports country-owned processes and plans for improving food security and promoting transparency, and within the Zones of Influence as outlined by the Feed the Future Bangladesh plan .The BIHS sample is statistically representative at the following levels: (a) nationally representative of rural Bangladesh; (b) representative of rural areas of each of the seven administrative divisions of the country; and, (c) representative of the Feed the Future (FTF) zone of influence.

    19

    Household Response To Dynamic Pricing Of Electricity: A Survey...  

    Open Energy Info (EERE)

    property. This report surveys evidence from 15 recent experiments with dynamic pricing of electricity in the United States and Canada. The report suggests conclusive evidence that...

    20

    Household vehicles energy consumption 1994  

    SciTech Connect

    Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

    NONE

    1997-08-01T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    21

    EIA - Household Transportation report: Household Vehicles Energy Use:  

    U.S. Energy Information Administration (EIA) Indexed Site

    Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Use: Latest Data & Trends November 2005 Release (Next Update: Discontinued) Based on the 2001 National Household Travel Survey conducted by the U.S. Department of Transportation and augmented by EIA Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses in an effort to maintain consistency with its past residential transportation series, which was discontinued after 1994. This report, Household Vehicles Energy Use: Latest Data & Trends, provides details on the nation's energy use for household passenger travel. A primary purpose of this report is to release the latest consumer-based data

    22

    HOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS  

    E-Print Network (OSTI)

    (DOE) defines demand response as "changes in electric usage by end-use customers from their normalHOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS response in electricity markets. One of the best ways to let that happen is to let customers see

    23

    Household Response To Dynamic Pricing Of Electricity: A Survey Of The  

    Open Energy Info (EERE)

    Household Response To Dynamic Pricing Of Electricity: A Survey Of The Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Focus Area: Crosscutting Topics: Market Analysis Website: www.hks.harvard.edu/hepg/Papers/2009/The%20Power%20of%20Experimentatio Equivalent URI: cleanenergysolutions.org/content/household-response-dynamic-pricing-el Language: English Policies: "Deployment Programs,Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation Regulations: "Mandates/Targets,Cost Recovery/Allocation,Enabling Legislation" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

    24

    The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

    E-Print Network (OSTI)

    by electric and hybrid vehicles", SAE Technical Papers No.household response to hybrid vehicles. Finally, we suggestas electric or hybrid vehicles. Transitions in choices of

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01T23:59:59.000Z

    25

    Own-price and income elasticities for household electricity demand : a survey of literature using meta-regression analysis.  

    E-Print Network (OSTI)

    ??Maria Wist Langmoen Own-price and income elasticities for household electricity demand -A Literature survey using meta-regression analysis Economists have been modelling the electricity demand for… (more)

    Langmoen, Maria Wist

    2004-01-01T23:59:59.000Z

    26

    Development of Improved Traveler Survey Methods for High-Speed Intercity Passenger Rail Planning  

    E-Print Network (OSTI)

    High-speed passenger rail is seen by many in the U.S. transportation policy and planning communities as an ideal solution for fast, safe, and resource-efficient mobility in high-demand intercity corridors. To expand the body of knowledge for high-speed intercity passenger rail in the U.S., the overall goal of this dissertation was to better understand the demand for high-speed intercity passenger rail services in small- or medium-sized intermediate communities and improve planners' ability to estimate such demand through traveler surveys; specifically, the use of different experimental designs for stated preference questions and the use of images to describe hypothetical travel alternatives in traveler surveys. In pursuit of this goal, an Internet-based survey was distributed to residents of Waco and Temple, two communities located along the federally-designated South Central High-Speed Rail Corridor in Central Texas. A total of 1,160 surveys were obtained from residents of the two communities. Mixed logit travel mode choice models developed from the survey data revealed valuable findings that can inform demand estimates and the design of traveler surveys for high-speed intercity passenger rail planning activities. Based on the analysis presented in this dissertation, ridership estimates for new high-speed intercity passenger rail lines that are planned to serve intermediate communities should not assume that residents of these communities have similar characteristics and values. The d-efficient stated preference experimental design was found to provide a mode choice model with a better fit and greater significance on key policy variables than the adaptive design and therefore is recommended for use in future surveys. Finally, it is recommended that surveys should consider the use of images of proposed train services to aid respondent decision-making for stated preference questions, but only if the images used in the survey depict equipment that could be realistically deployed in the corridor.

    Sperry, Benjamin

    2012-05-01T23:59:59.000Z

    27

    Section J: HOUSEHOLD CHARACTERISTICS  

    U.S. Energy Information Administration (EIA)

    2001 Residential Energy Consumption Survey Form EIA-457A (2001)--Household Questionnaire OMB No.: 1905-0092, Expiring February 29, 2004 42 Section J: HOUSEHOLD ...

    28

    Household energy use in urban Venezuela: Implications from surveys in Maracaibo, Valencia, Merida, and Barcelona-Puerto La Cruz  

    Science Conference Proceedings (OSTI)

    This report identifies the most important results of a comparative analysis of household commercial energy use in Venezuelan urban cities. The use of modern fuels is widespread among all cities. Cooking consumes the largest share of urban household energy use. The survey documents no use of biomass and a negligible use of kerosene for cooking. LPG, natural gas, and kerosene are the main fuels available. LPG is the fuel choice of low-income households in all cities except Maracaibo, where 40% of all households use natural gas. Electricity consumption in Venezuela`s urban households is remarkably high compared with the levels used in households in comparable Latin American countries and in households of industrialized nations which confront harsher climatic conditions and, therefore, use electricity for water and space heating. The penetration of appliances in Venezuela`s urban households is very high. The appliances available on the market are inefficient, and there are inefficient patterns of energy use among the population. Climate conditions and the urban built form all play important roles in determining the high level of energy consumption in Venezuelan urban households. It is important to acknowledge the opportunities for introducing energy efficiency and conservation in Venezuela`s residential sector, particularly given current economic and financial constraints, which may hamper the future provision of energy services.

    Figueroa, M.J.; Sathaye, J.

    1993-08-01T23:59:59.000Z

    29

    Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey  

    E-Print Network (OSTI)

    1994) Demand for Electric Vehicles in Hybrid Households: A nand the Household Electric Vehicle Market: A Constraintsthe mar- ket for electric vehicles in California. Presented

    Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

    1996-01-01T23:59:59.000Z

    30

    Household Vehicles Energy Use Cover Page  

    U.S. Energy Information Administration (EIA) Indexed Site

    Household Vehicles Energy Use Cover Page Glossary Home > Households, Buildings & Industry >Transportation Surveys > Household Vehicles Energy Use Cover Page Contact Us * Feedback *...

    31

    Travel determinants and multi-scale transferability of national activity patterns to local populations  

    Science Conference Proceedings (OSTI)

    The ability to transfer national travel patterns to a local population is of interest when attempting to model megaregions or areas that exceed metropolitan planning organization (MPO) boundaries. At the core of this research are questions about the connection between travel behavior and land use, urban form, and accessibility. As a part of this process, a group of land use variables have been identified to define activity and travel patterns for individuals and households. The 2001 National Household Travel Survey (NHTS) participants are divided into categories comprised of a set of latent cluster models representing persons, travel, and land use. These are compared to two sets of cluster models constructed for two local travel surveys. Comparison of means statistical tests are used to assess differences among sociodemographic groups residing in localities with similar land uses. The results show that the NHTS and the local surveys share mean population activity and travel characteristics. However, these similarities mask behavioral heterogeneity that are shown when distributions of activity and travel behavior are examined. Therefore, data from a national household travel survey cannot be used to model local population travel characteristics if the goal to model the actual distributions and not mean travel behavior characteristics.

    Henson, Kriste M [Los Alamos National Laboratory; Gou; ias, Konstadinos G [UCSB

    2010-11-30T23:59:59.000Z

    32

    Residential energy use and conservation in Venezuela: Results and implications of a household survey in Caracas  

    SciTech Connect

    This document presents the final report of a study of residential energy use in Caracas, the capital of Venezuela. It contains the findings of a household energy-use survey held in Caracas in 1988 and examines options for introducing energy conservation measures in the Venezuelan residential sector. Oil exports form the backbone of the Venezuelan economy. Improving energy efficiency in Venezuela will help free domestic oil resources that can be sold to the rest of the world. Energy conservation will also contribute to a faster recovery of the economy by reducing the need for major investments in new energy facilities, allowing the Venezuelan government to direct its financial investments towards other areas of development. Local environmental benefits will constitute an important additional by-product of implementing energy-efficiency policies in Venezuela. Caracas`s residential sector shows great potential for energy conservation. The sector is characterized by high saturation levels of major appliances, inefficiency of appliances available in the market, and by careless patterns of energy use. Household energy use per capita average 6.5 GJ/per year which is higher than most cities in developing countries; most of this energy is used for cooking. Electricity accounts for 41% of all energy use, while LPG and natural gas constitute the remainder. Specific options for inducing energy conservation and energy efficiency in Caracas`s residential sector include energy-pricing policies, fuel switching, particularly from electricity to gas, improving the energy performance of new appliances and customer information. To ensure the accomplishment of an energy-efficiency strategy, a concerted effort by energy users, manufacturers, utility companies, government agencies, and research institutions will be needed.

    Figueroa, M.J.; Ketoff, A.; Masera, O.

    1992-10-01T23:59:59.000Z

    33

    Electricity displacement by wood used for space heating in PNWRES (Pacific Northwest Residential Energy Survey) (1983) households  

    DOE Green Energy (OSTI)

    This report evaluates the amount of electricity for residential space heating displaced by the use of wood in a sample of single-family households that completed the 1983 Pacific Northwest Residential Energy Survey. Using electricity bills and daily weather data from the period of July 1981 to July 1982, it was determined that the average household used 21,800 kWh per year, normalized with respect to weather. If no households had used any wood, electricity use would have increased 9%, to 23,700 kWh; space heating electricity use would also have increased, by 21%, to 47% of total electricity use. In the unlikely event that all households had used a great deal of wood for space heating, electricity use could have dropped by 23.5% from the average use, to 16,700 kWh; space heating electricity use would have dropped by 56%, to 24% of total electricity use. Indications concerning future trends regarding the displacement of electricity by wood use are mixed. On one hand, continuing to weatherize homes in the Pacific Northwest may result in less wood use as households find using electricity more economical. On the other hand, historical trends in replacement decisions regarding old space heating systems show a decided preference for wood. 11 refs., 6 figs., 8 tabs.

    White, D.L.; Tonn, B.E.

    1988-12-01T23:59:59.000Z

    34

    Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey  

    E-Print Network (OSTI)

    In contrast to a hybrid vehicle whichcombines multiple1994) "Demand Electric Vehicles in Hybrid for Households:or 180 mile hybrid electric vehicle. Natural gas vehicles (

    Kurani, Kenneth S.; Turrentine, Thomas; Sperling, Daniel

    2001-01-01T23:59:59.000Z

    35

    1 HOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY—A SURVEY OF THE EXPERIMENTAL EVIDENCE  

    E-Print Network (OSTI)

    Since the energy crisis of 2000-2001 in the western United States, much attention has been given to boosting demand response in electricity markets. One of the best ways to let that happen is to pass through wholesale energy costs to retail customers. This can be accomplished by letting retail prices vary dynamically, either entirely or partly. For the overwhelming majority of customers, that requires a changeout of the metering infrastructure, which may cost as much as $40 billion for the US as a whole. While a good portion of this investment can be covered by savings in distribution system costs, about 40 percent may remain uncovered. This investment gap could be covered by reductions in power generation costs that could be brought about through demand response. Thus, state regulators in many states are investigating whether customers will respond to the higher prices by lowering demand and if so, by how much. To help inform this assessment, we survey the evidence from the 15 most recent experiments with dynamic pricing of electricity. We find conclusive evidence that households (residential customers) respond to higher prices by lowering usage. The magnitude of price response depends on several factors, such as the magnitude of the price increase, the presence of central air conditioning and the availability of enabling technologies such as two-way

    Ahmad Faruqui; Sanem Sergici

    2009-01-01T23:59:59.000Z

    36

    2001 New York State NHTS: Travel Patterns of Special Populations  

    SciTech Connect

    Policymakers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and accommodate future demands; to assess the feasibility and efficiency of alternative congestion-alleviating technologies (e.g., high-speed rail, magnetically levitated trains, intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. Longer-distance travel was collected in 1977 and 1995. The 2001 National Household Travel Survey (NHTS) collected both daily and longer-distance trips in one survey. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel was not part of the survey. New York State participated in the 2001 NHTS by procuring additional 12,000 sample households. These additional sample households allowed New York State to address transportation planning issues pertinent to geographic areas that are significantly smaller than what the national NHTS data allowed. The final sample size for New York State was 13,423 usable households. In this report, Oak Ridge National Laboratory (ORNL) identifies and analyzes differences, if any, in travel patterns that are attributable to demographic characteristics (e.g., gender, age, race and ethnicity), household characteristics (e.g., low income households, zero and one car households), modal characteristics and geographic location. Travel patterns of those who work at home are examined and compared to those of conventional workers, as well as those who do not work. Focus is given to trip frequency, travel by time of day, trip purpose, and mode choice. For example, included in this analysis is the mobility of the elderly population in New York State. The American society is undergoing a major demographic transformation that is resulting in a greater percentage of older individuals in the population. In addition to demographic changes, recent travel surveys show that an increasing number of older individuals are licensed to drive and that they drive more than their same age cohort did a decade ago. Cohort differences in driving are particularly apparent - not only are more of today's elderly population licensed to drive than their age cohort two decades ago, they also drive more. Equally important are the increase in immigration and in racial and cultural diversity. This report also discusses vehicle availability, socioeconomic characteristics, travel trends (e.g., miles travelled, distance driven, commute patterns), and the transportation accessibility of these populations. Specifically, this report addresses in detail the travel behavior of the following special populations: (1) the elderly, defined as those who were 65 years old or older, (2) low-income households, (3) ethnic groups and immigrants, and (4) those who worked at home.

    Hu, Patricia S [ORNL; Reuscher, Tim [ORNL

    2010-03-01T23:59:59.000Z

    37

    Residential energy consumption survey. Consumption patterns of household vehicles, supplement: January 1981-September 1981  

    Science Conference Proceedings (OSTI)

    Information on the fuel consumption characteristics on household vehicles in the 48 contiguous States and the District of Columbia is presented by monthly statistics of fuel consumption, expenditures, miles per gallon, and miles driven.

    Not Available

    1983-02-01T23:59:59.000Z

    38

    Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey  

    E-Print Network (OSTI)

    or 180 mile hybrid electric vehicle. Natural gas vehicles (1994) Demand for Electric Vehicles in Hybrid Households: A nof Electric, Hybrid and Other Alternative Vehicles. A r t h

    Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

    1996-01-01T23:59:59.000Z

    39

    Household Vehicles Energy Use: Latest Data & Trends  

    U.S. Energy Information Administration (EIA) Indexed Site

    B B : E S T I M AT I O N M E T H O D O L O G I E S APPENDIX B A P P E N D I X B ESTIMATION METHODOLOGIES INTRODUCTION The National Household Travel Survey (NHTS) is the nation's inventory of local and long distance travel, according to the U.S. Department of Transportation. Between April 2001 and May 2002, roughly 26 thousand households 41 were interviewed about their travel, based on the use of over 53 thousand vehicles. Using confidential data collected during those interviews, coupled with EIA's retail fuel prices, external data sources of test 42 fuel economy, and internal procedures for modifying test fuel economy to on-road, in-use fuel economy, EIA has extended this inventory to include the energy used for travel, thereby continuing a data series that was discontinued by EIA in 1994. This appendix presents the methods used for each eligible sampled

    40

    Household Vehicles Energy Consumption 1991  

    U.S. Energy Information Administration (EIA) Indexed Site

    Detailed Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1991 Residential Transportation Energy Consumption Survey. The "Glossary" contains the definitions of terms used in the tables. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle miles traveled (VMT) or gallons consumed; (2) Tables of per household statistics such as VMT per household; and (3) Tables of per vehicle statistics such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model year data, or family income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table. Row and Column Factors These tables present estimates

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    41

    Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey  

    E-Print Network (OSTI)

    travel by electric and hybrid vehicles. SAE Technical PapersIn contrast to a hybrid vehicle which combines multipleElectric, Hybrid and Other Alternative Vehicles. A r t h u r

    Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

    1996-01-01T23:59:59.000Z

    42

    A Model of Household Demand for Activity Participation and Mobility  

    E-Print Network (OSTI)

    household car ownership, car usage, and travel by differentownership demand, and car usage demand. Modal travel demand,mode), car ownership, and car usage for spatial aggregations

    Golob, Thomas F.

    1996-01-01T23:59:59.000Z

    43

    EIA - Gasoline and Diesel Fuel report: Household Vehicles Energy  

    U.S. Energy Information Administration (EIA) Indexed Site

    1 1 Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1991 December 1993 Release Next Update: August 1997. Based on the 1991 Residential Transportation Energy Consumption Survey conducted by the Energy Information Administration (EIA) - survey series has been discontinued after EIA's 1994 survey. Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses. This report, Household Vehicles Energy Consumption 1991, is based on data from the 1991 Residential Transportation Energy Consumption Survey (RTECS). Focusing on vehicle miles traveled (VMT) and energy enduse consumption and expenditures by households for personal transportation, the 1991 RTECS is

    44

    Household Vehicles Energy Consumption 1991  

    U.S. Energy Information Administration (EIA) Indexed Site

    Aggregate Aggregate Ratio: See Mean and Ratio Estimate. AMPD: Average miles driven per day. See Appendix B, "Estimation Methodologies." Annual Vehicle Miles Traveled: See Vehicle Miles Traveled. Automobile: Includes standard passenger car, 2-seater car and station wagons; excludes passenger vans, cargo vans, motor homes, pickup trucks, and jeeps or similar vehicles. See Vehicle. Average Household Energy Expenditures: A ratio estimate defined as the total household energy expenditures for all RTECS households divided by the total number of households. See Ratio Estimate, and Combined Household Energy Expenditures. Average Number of Vehicles per Household: The average number of vehicles used by a household for personal transportation during 1991. For this report, the average number of vehicles per household is computed as the ratio of the total number of vehicles to the

    45

    Vehicle Technologies Office: Fact #259: March 17, 2003 Household...  

    NLE Websites -- All DOE Office Websites (Extended Search)

    9: March 17, 2003 Household Travel by Gender to someone by E-mail Share Vehicle Technologies Office: Fact 259: March 17, 2003 Household Travel by Gender on Facebook Tweet about...

    46

    Assumptions to the Annual Energy Outlook 2002 - Household Expenditures...  

    Annual Energy Outlook 2012 (EIA)

    Expenditures Module The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and...

    47

    Household Vehicles Energy Consumption 1994 - PDF Tables  

    U.S. Energy Information Administration (EIA)

    Table 1 U.S. Number of Vehicles, Vehicle Miles, Motor Fuel Consumption and Expenditures, 1994 Table 2 U.S. per Household Vehicle Miles Traveled, Vehicle Fuel ...

    48

    EIA - Household Transportation report: Household Vehicles Energy  

    U.S. Energy Information Administration (EIA) Indexed Site

    4 4 Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1994 August 1997 Release Next Update: EIA has discontinued this series. Based on the 1994 Residential Transportation Energy Consumption Survey conducted by the Energy Information Administration (EIA) - survey series has been discontinued Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses. Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use

    49

    Household Energy Consumption and Expenditures  

    Reports and Publications (EIA)

    Presents information about household end use consumption of energy and expenditures for that energy. These data were collected in the 2005 Residential Energy Consumption Survey (RECS)

    Information Center

    2008-09-01T23:59:59.000Z

    50

    Household Vehicles Energy Use: Latest Data & Trends  

    U.S. Energy Information Administration (EIA) Indexed Site

    This page left blank. This page left blank. E N E R G Y O V E RV I E W ENERGY INFORMATION ADMINISTRATION/HOUSEHOLD VEHICLES ENERGY USE: LATEST DATA & TRENDS ENERGY OVERVIEW E N E R G Y O V E RV I E W INTRODUCTION Author's Note Estimates of gallons of fuel consumed, type of fuel used, price paid for fuel, and fuel economy are based on data imputed by EIA, using vehicle characteristics and vehicle-miles traveled data collected during the interview process for the 2001 National Household Travel Survey (NHTS). Rather than obtaining that information directly from fuel purchase diaries, EIA exploited its experience and expertise with modeling techniques for transportation studies, filling missing and uncollected data with information reported to other federal agencies, as described in Appendices

    51

    Household Vehicles Energy Use: Latest Data & Trends  

    U.S. Energy Information Administration (EIA) Indexed Site

    E E N E R G Y O V E RV I E W ENERGY INFORMATION ADMINISTRATION/HOUSEHOLD VEHICLES ENERGY USE: LATEST DATA & TRENDS ENERGY OVERVIEW E N E R G Y O V E RV I E W INTRODUCTION Author's Note Estimates of gallons of fuel consumed, type of fuel used, price paid for fuel, and fuel economy are based on data imputed by EIA, using vehicle characteristics and vehicle-miles traveled data collected during the interview process for the 2001 National Household Travel Survey (NHTS). Rather than obtaining that information directly from fuel purchase diaries, EIA exploited its experience and expertise with modeling techniques for transportation studies, filling missing and uncollected data with information reported to other federal agencies, as described in Appendices B and C of this report.

    52

    Car Sharing within Households  

    E-Print Network (OSTI)

    The objective of this paper was to analyse two activities: who rents a car and why? Which households share the driving of their cars? In order to do that, the Parc-Auto (Car-Fleet) database, built from annual postal surveys conducted with a panel of 10,000 French households, has been processed. Among approximately one hundred questions in the survey, two key questions have been crossed against many social, economic, demographic, geographic or time variables. KQ1: “During the last 12 months, did you — or another person from your home — rent a car in France for personal purposes? ” KQ2: “Is this car occasionally used by other persons?” Here are the main findings. Renting households are mainly working, high income households, living in the core of big cities, and in particular in Paris. Most of them have two wage-sheets and two cars, one of which is generally a recent, high power, high quality car. Car rental is mainly an occasional practice. Yet for a minority of renters, it is a sustained habit. Households with more licence holders than cars share the most: about three quarters of them share their cars. On the contrary, single driver-single car households have less opportunity to share: only 15 % share. Household car sharing shed light on the gender role within households: while 58 % of the main users of the shared cars are male, 55 % of secondary users are female. Household car sharing is mainly a regular practice. Finally, without diminishing the merits of innovative transport solutions proposed here and there, it is not a waste of time to give some insight on self established behaviour within households. This reveals that complex patterns have been built over time by the people themselves, to cope with diverse situations that cannot be easily handled by straightforward classifications. The car cannot be reduced to a personal object. Household car sharing also carries strong links with the issue of car dependency. Sifting car availability and choice

    Francis Papon; Laurent Hivert

    2008-01-01T23:59:59.000Z

    53

    Chapter 3. Vehicle-Miles Traveled  

    U.S. Energy Information Administration (EIA) Indexed Site

    3. Vehicle-Miles Traveled 3. Vehicle-Miles Traveled Chapter 3. Vehicle-Miles Traveled Vehicle-miles traveled--the number of miles that residential vehicles are driven--is probably the most important information collected by the Residential Transportation Energy Consumption Survey. Using the data on vehicle-miles traveled allows analysts to answer such questions as: "Are minivans driven more than passenger cars?" "Do people in the West drive more than people elsewhere?" "Do people conserve their new cars by driving them less?" "Who drives more--people in households with children, or other people?" "At what ages do people drive the most?" "How does growing income affect the amount of driving?" In addition to answering those kinds of questions, analysts also use the number of vehicle-miles traveled to compute estimated, on-road vehicle fuel consumption, economy, and expenditures, all of which have important implications for U.S. energy policy and national security (see Chapter 4).

    54

    Comparative analysis of energy data bases for household residential and transportation energy use  

    SciTech Connect

    Survey data bases covering household residential and transportation energy use were reviewed from the perspective of energy policy analysts and data base users. Twenty-three surveys, taken from 1972 to 1985, collected information on household energy consumption and expenditures, energy-using capital stock, and conservation activities. Ten of the surveys covered residential energy use only, including that for space heating and cooling, cooking, water heating, and appliances. Six surveys covered energy use only for household travel in personal vehicles. Seven surveys included data on both of these household energy sectors. Complete energy use data for a household in one year can be estimated only for 1983, using two surveys (one residential and one transportation) taken in the same households. The last nine surveys of the 23 were recent (1983--1985). Review of those nine was based on published materials only. The large-scale surveys generally had less-comprehensive data, while the comprehensive surveys were based on small samples. The surveys were timely and useful for analyzing four types of energy policies: economic regulation, environmental regulation, federal energy production, and direct regulation of energy consumption or production. Future surveys of energy use, such as those of residential energy consumption, should try to link their energy-use questions to large surveys, such as the American Housing Survey, to allow more accurate analysis of comparative impacts of energy policies among population categories of interest (e.g., minority/majority, metropolitan/nonmetropolitan area, census regions, and income class). 78 refs., 9 figs., 29 tabs.

    Teotia, A.; Klein, Y.; LaBelle, S.

    1988-11-01T23:59:59.000Z

    55

    Household Vehicles Energy Consumption 1991  

    U.S. Energy Information Administration (EIA) Indexed Site

    . . Trends in Household Vehicle Stock The 1991 RTECS counted more than 150 million vehicles in use by U.S. households. This chapter examines recent trends in the vehicle stock, as measured by the RTECS and other reputable vehicle surveys. It also provides some details on the type and model year of the household vehicle stock, and identifies regional differences in vehicle stock. Because vehicles are continuously being bought and sold, this chapter also reports findings relating to turnover of the vehicle stock in 1991. Finally, it examines the average vehicle stock in 1991 (which takes into account the acquisition and disposal of household vehicles over the course of the year) and identifies variations in the average number of household vehicles based on differences in household characteristics. Number of Household Vehicles Over the past 8 years, the stock of household vehicles has

    56

    Household Vehicles Energy Consumption 1991  

    U.S. Energy Information Administration (EIA) Indexed Site

    . . Vehicle Fuel Efficiency and Consumption Fuel consumption is estimated from RTECS data on the vehicle stock (Chapter 2) and miles traveled (Chapter 3), in combination with vehicle fuel efficiency ratings, adjusted to account for individual driving circumstances. The first two sections of this chapter present estimates of household vehicle fuel efficiency and household fuel consumption calculated from these fuel efficiency estimates. These sections also discuss variations in fuel efficiency and consumption based on differences in household and vehicle characteristics. The third section presents EIA estimates of the potential savings from replacing the oldest (and least fuel-efficient) household vehicles with new (and more fuel-efficient) vehicles. The final section of this chapter focuses on households receiving (or eligible to receive) supplemental income under

    57

    Assumptions to the Annual Energy Outlook - Household Expenditures Module  

    Gasoline and Diesel Fuel Update (EIA)

    Household Expenditures Module Household Expenditures Module Assumption to the Annual Energy Outlook Household Expenditures Module Figure 5. United States Census Divisions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division (see

    58

    Household vehicles energy consumption 1991  

    Science Conference Proceedings (OSTI)

    The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted during 1991 and early 1992. The 1991 RTECS represents 94.6 million households, of which 84.6 million own or have access to 151.2 million household motor vehicles in the 50 States and the District of Columbia.

    Not Available

    1993-12-09T23:59:59.000Z

    59

    Advanced Information Techniques And Paratransit Services To Enhance Mobility Of Elderly And Disabled Travelers  

    E-Print Network (OSTI)

    Mobility of Elderly and Disabled Travelers: Initial SurveyKEYWORDS elderly and disabled travelers, transit,to Enhance Mobility of Disabled Travelers. Klaver, K, W.

    Chen, Wan-Hui; Klaver, Kelley; Uwaine, Rochelle; Jovanis, Paul P.

    1998-01-01T23:59:59.000Z

    60

    Travel Medicine  

    NLE Websites -- All DOE Office Websites (Extended Search)

    SCOPE OF PROBLEM SCOPE OF PROBLEM * 21% of U.S. Adult Population Travel for Business * 1.4 million International Travelers Daily * Numbers will Increase * Include Workers in Planning TRAVEL AND INFECTIOUS DISEASE * Endemic Exotic Diseases * Antimicrobial Resistance *Non-Specific Presentation of Disease * Emergence/ Re-emergence of Infectious Agents * Importation/ Exportation of Infection Mary L. Doyle, MPH, RN, COHN-S/CM DOE Headquarters January 17,2002 INTERNATIONAL TRAVEL * Economic Expansion * Globalization of Companies * Extended * Extended & Short-tenn Assignments * Multi-National Travel * Circle Globe in Three Days * Incubation Period for Infectious Diseases * Employee Needs Advice from OHN HEALTH ASSESSMENT * Potential Travel Illnesses * Employee Health Risks

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    61

    Household Vehicles Energy Use: Latest Data and Trends - Table A01  

    U.S. Energy Information Administration (EIA)

    U.S. Per Household Vehicle-Miles Traveled ... and Alternate Fuels, Form EIA-826, "Monthly Electric Utility Sales and Revenue Report with State Distributions."

    62

    Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle  

    NLE Websites -- All DOE Office Websites (Extended Search)

    1: January 8, 1: January 8, 2007 Household Vehicle Trips to someone by E-mail Share Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Facebook Tweet about Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Twitter Bookmark Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Google Bookmark Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Delicious Rank Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Digg Find More places to share Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on AddThis.com... Fact #451: January 8, 2007 Household Vehicle Trips In a day, the average household traveled 32.7 miles in 2001 (the latest

    63

    Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle  

    NLE Websites -- All DOE Office Websites (Extended Search)

    5: February 5, 5: February 5, 2007 Household Vehicle Miles to someone by E-mail Share Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Facebook Tweet about Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Twitter Bookmark Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Google Bookmark Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Delicious Rank Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Digg Find More places to share Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on AddThis.com... Fact #455: February 5, 2007 Household Vehicle Miles The graphs below show the average vehicle miles of travel (VMT) - daily

    64

    Travel Visa  

    Science Conference Proceedings (OSTI)

    Please note that the Department of Homeland Security is implementing the Electronic System for Travel Authorization, which is expected to be mandatory for

    65

    Travel Reimbursement  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Fund. TRAVEL RESOURCES Albuquerque Sunport Albuquerque Sunport Car Rental Center Atomic City Transit FastPark and Relax Albuquerque Airport Parking GSA Domestic Per Diem...

    66

    The New Suburbs: Evolving travel behavior, the built environment, and subway investments in Mexico City  

    E-Print Network (OSTI)

    analysis of built environment characteristics on householdTravel and the Built Environment -- A Meta-Analysis. Journalnon-work travel. Built Environment, 18(4), 253–267. Hess, D.

    Guerra, Erick

    2013-01-01T23:59:59.000Z

    67

    Do Disaster Expectations Explain Household Portfolios?  

    E-Print Network (OSTI)

    use the American Consumer Expenditure Survey (CEX) for consumption ex- penditure information. The data covers the period between 1983 and 2004. The expenditure information is recorded quarterly with approximately 5000 households in each wave. Every...

    Alan, Sule

    68

    Household Vehicles Energy Consumption 1991  

    U.S. Energy Information Administration (EIA) Indexed Site

    1. 1. Introduction The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The Energy Information Administration (EIA) is mandated by Congress to collect, analyze, and disseminate impartial, comprehensive data about energy--how much is produced, who uses it, and the purposes for which it is used. To comply with this mandate, EIA collects energy data from a variety of sources covering a range of topics 1 . Background The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted

    69

    Answers to Frequently Asked Questions About the Household Bottled ...  

    U.S. Energy Information Administration (EIA)

    Form EIA-457D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey

    70

    Table 1. Household Characteristics by Ceiling Fans, 2001  

    U.S. Energy Information Administration (EIA)

    A reporting of the number of housing units using ceiling fans in U.S. households as reported in the 2001 Residential Energy Consumption Survey

    71

    Answers to Frequently Asked Questions About the Household ...  

    U.S. Energy Information Administration (EIA)

    Form EIA-457E (2001) – Household Electricity Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey

    72

    Household Vehicles Energy Use: Latest Data & Trends  

    U.S. Energy Information Administration (EIA) Indexed Site

    C C : Q U A L I T Y O F T H E D ATA APPENDIX C A P P E N D I X C QUALITY OF THE DATA INTRODUCTION This section discusses several issues relating to the quality of the National Household Travel Survey (NHTS) data and to the interpretation of conclusions based on these data. In particular, the focus of our discussion is on the quality of specific data items, such as the fuel economy and fuel type, that were imputed to the NHTS via a cold-decking imputation procedure. This imputation procedure used vehicle-level information from the NHTSA Corporate Average Fuel Economy files for model year's 1978 through 2001. It is nearly impossible to quantify directly the quality of this imputation procedure because NHTS does not collect the necessary fuel economy information for comparison. At best, we have indirect evidence on the quality of our

    73

    Figure 2. Energy Consumption of Vehicles, Selected Survey Years  

    U.S. Energy Information Administration (EIA) Indexed Site

    Home > Households, Buildings & Industry >Transportation Surveys > Household Vehicles Energy Use > Figure 2 Figure 2. Energy Consumption of Vehicles, Selected Survey Years...

    74

    Household Vehicles Energy Use: Latest Data and Trends - Table A04  

    U.S. Energy Information Administration (EIA)

    ... Buildings & Industry > Transportation Surveys > Household Vehicles Energy ... U.S. Vehicles by Model ... Office of Coal, Nuclear, Electric, and Alternate ...

    75

    char_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    Household Tables Household Tables (Million U.S. Households; 24 pages, 122 kb) Contents Pages HC2-1a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 2 HC2-2a. Household Characteristics by Year of Construction, Million U.S. Households, 2001 2 HC2-3a. Household Characteristics by Household Income, Million U.S. Households, 2001 2 HC2-4a. Household Characteristics by Type of Housing Unit, Million U.S. Households, 2001 2 HC2-5a. Household Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 2 HC2-6a. Household Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 2 HC2-7a. Household Characteristics by Four Most Populated States, Million U.S. Households, 2001 2

    76

    char_household2001.pdf  

    Annual Energy Outlook 2012 (EIA)

    9a. Household Characteristics by Northeast Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row...

    77

    Household and environmental characteristics related to household energy-consumption change: A human ecological approach  

    Science Conference Proceedings (OSTI)

    This study focused on the family household as an organism and on its interaction with the three environments of the human ecosystem (natural, behavioral, and constructed) as these influence energy consumption and energy-consumption change. A secondary statistical analysis of data from the US Department of Energy Residential Energy Consumption Surveys (RECS) was completed. The 1980 and 1983 RECS were used as the data base. Longitudinal data, including household, environmental, and energy-consumption measures, were available for over 800 households. The households were selected from a national sample of owner-occupied housing units surveyed in both years. Results showed a significant( p = household, cooling degree days, heating degree days, year the housing unit was built, and number of stories in the housing unit.

    Guerin, D.A.

    1988-01-01T23:59:59.000Z

    78

    Household energy consumption and expenditures 1993  

    Science Conference Proceedings (OSTI)

    This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential Energy Consumption Survey; more than 7,000 households were surveyed for information on their housing units, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energy consumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energy consumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

    NONE

    1995-10-05T23:59:59.000Z

    79

    Form EIA-457E (2001) -- Household Bottled Gas Usage  

    U.S. Energy Information Administration (EIA) Indexed Site

    F (2001) -- Household Natural Gas Usage Form F (2001) -- Household Natural Gas Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the Household Natural Gas Usage Form What is the purpose of the Residential Energy Consumption Survey? The Residential Energy Consumption Survey (RECS) collects data on energy consumption and expenditures in U.S. housing units. Over 5,000 statistically selected households across the U.S. have already provided information about their household, the physical characteristics of their housing unit, their energy-using equipment, and their energy suppliers. Now we are requesting the energy billing records for these households from each of their energy suppliers. After all this information has been collected, the information will be used to

    80

    Form EIA-457E (2001) -- Household Bottled Gas Usage  

    U.S. Energy Information Administration (EIA) Indexed Site

    E (2001) - Household Electricity Usage Form E (2001) - Household Electricity Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the Household Electricity Usage Form What is the purpose of the Residential Energy Consumption Survey? The Residential Energy Consumption Survey (RECS) collects data on energy consumption and expenditures in U.S. housing units. Over 5,000 statistically selected households across the U.S. have already provided information about their household, the physical characteristics of their housing unit, their energy-using equipment, and their energy suppliers. Now we are requesting the energy billing records for these households from each of their energy suppliers. After all this information has been collected, the information will be used to

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    81

    Factors influencing county level household fuelwood use  

    Science Conference Proceedings (OSTI)

    This study explains household fuelwood consumption behavior at the county level by linking it to economic and demographic conditions in counties. Using this link, counties are identified where potential fuelwood use problems and benefits are greatest. A probit equation estimates household probability of wood use (percent woodburners in a county heating degree days, household income, nonwood fuel price, fuelwood price, percent forest land, population density, and fraction of households using various types of heating equipment. A linear-in-parameters equation estimates average wood consumed by a woodburner based on county heating degree days, household income, percent forest land, and price of nonwood fuel divided by fuelwood price. Parameters are estimated using fuelwood use data for individual households from a 1908-81 nationwide survey. The probit equation predicts percentage of wood burns well over a wide range of county conditions. The wood consumption equation overpredicts for counties with high income and high population density (over 6000 persons per square mile). The model shows average woodburning per household over all households decreases with increasing population density, and the influence of county economic characteristics varies with density.

    Skog, K.E.

    1986-01-01T23:59:59.000Z

    82

    The 1997 Residential Energy Consumption Survey -- Two Decades  

    U.S. Energy Information Administration (EIA)

    1997 Residential Energy Consumption Survey presents two decades of changes in energy consumption related Household Characteristics

    83

    Travel | Department of Energy  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Travel Travel Travel The Travel Services Team serves as the Headquarters POC for the following services: Headquarters Travel Management Center (TMC) Official Travel, Domestic and Foriegn Foreign Travel Management System (FTMS) Official Travel Regulations and Guidelines U.S. Passports and Visa Services (Official and Diplomatic) Non-Refundable Airfare Guidance International Insurance for DOE Officials (MEDEX) RezProfiler Instructions Car Rental Hotel Reservations Travel FAQs For questions about Travel Services or the Travel Management Center, see the Contact Us, Travel Services Section Travel Management Center (TMC) The Travel Services Team oversees the Travel Management Center (TMC), which is operated by ADTRAV Travel Management. Office Hours - 8:00 a.m. to 5:00 p.m. Office Location - Forrestal, Room GE-180

    84

    Travel Award Program  

    Science Conference Proceedings (OSTI)

    Travel Award Program. What is the travel award? The CNST has a Cooperative Agreement with the University of Maryland Nanocenter. ...

    2010-11-16T23:59:59.000Z

    85

    Urban household energy use in Thailand  

    SciTech Connect

    Changes in household fuel and electricity use that accompany urbanization in Third World countries bear large economic and environmental costs. The processes driving the fuel transition, and the policy mechanisms by which it can be influenced, need to be better understood for the sake of forecasting and planning, especially in the case of electricity demand. This study examines patterns of household fuel use and electrical appliance utilization in Bangkok, Chieng Mai and Ayutthaya, Thailand, based on the results of a household energy survey. Survey data are statistically analyzed using a variety of multiple regression techniques to evaluate the relative influence of various household and fuel characteristics on fuel and appliance choice. Results suggest that changes to the value of women's time in urban households, as women become increasingly active in the labor force, have a major influence on patterns of household energy use. The use of the home for small-scale commercial activities, particularly food preparation, also has a significant influence on fuel choice. In general, household income does not prove to be an important factor in fuel and appliance selection in these cities, although income is closely related to total electricity use. The electricity use of individual household appliances is also analyzed using statistical techniques as well as limited direct metering. The technology of appliance production in Thailand is evaluated through interviews with manufacturers and comparisons of product performance. These data are used to develop policy recommendations for improving the efficiency of electrical appliances in Thailand by relying principally on the dynamism of the consumer goods market, rather than direct regulation. The annual electricity savings from the recommended program for fostering rapid adoption of efficient technologies are estimated to reach 1800 GWh by the year 2005 for urban households alone.

    Tyler, S.R.

    1992-01-01T23:59:59.000Z

    86

    Assumptions to the Annual Energy Outlook 2000 - Household Expenditures  

    Gasoline and Diesel Fuel Update (EIA)

    Key Assumptions Key Assumptions The historical input data used to develop the HEM version for the AEO2000 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2000 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and transportation sectors as inputs to the disaggregation algorithm that results in the direct fuel expenditure analysis. Household end-use and personal transportation service consumption are obtained by HEM from the NEMS Residential and Transportation Demand Modules. Household disposable income is adjusted with forecasts of total disposable income from the NEMS Macroeconomic Activity Module.

    87

    Household carbon dioxide production in relation to the greenhouse effect  

    SciTech Connect

    A survey of 655 households from eastern suburbs of Melbourne was undertaken to determine householders[prime] attitudes to, and understanding of, the greenhouse effect. Carbon dioxide emissions resulting from car, electricity and gas use were computed and household actions which could reduce CO[sub 2] emissions were addressed. Preliminary analysis of the results indicates that householders in this area are aware of, and concerned about, the greenhouse effect, although their understanding of its causes is often poor. Many appreciate the contribution of cars, but are unclear about the relative importance of other household activities. Carbon dioxide emissions from the three sources examined averaged 21[center dot]2 tonnes/year per household and 7[center dot]4 tonnes/year per person. Electricity was the largest contributor (8[center dot]6 tonnes/year), cars the next largest (7[center dot]7 tonnes/year) and gas third (5[center dot] tonnes/year) per household. Emissions varied considerably from household to household. There was a strong positive correlation between availability of economic resources and household CO[sub 2] output from all sources. Carbon dioxide production, particularly from car use, was greater from households which were most distant from a railway station, and from larger households, and numbers of children in the household had little effect on emissions. There were also some economics of scale for households containing more adults. Understanding the causes of the greenhouse bore little relation to change in CO[sub 2] emissions; being concerned about it was associated with a small reduction; but actual actions to reduce car use and household heating, however motivated, produced significant reductions. 12 refs., 9 figs., 6 tabs.

    Stokes, D.; Lindsay, A.; Marinopoulos, J.; Treloar, A.; Wescott, G. (Deakin Univ., Clayton (Australia))

    1994-03-01T23:59:59.000Z

    88

    PRELIMINARY DATA Housing Unit and Household Characteristics  

    U.S. Energy Information Administration (EIA) Indexed Site

    PRELIMINARY DATA Housing Unit and Household Characteristics RSE Column Factor: Total Households (million) Households With Fans (million) Percent of Households With Fans Number of...

    89

    Being surveyed can change later behavior and related parameter estimates  

    E-Print Network (OSTI)

    Does completing a household survey change the later behavior of those surveyed? In three field studies of health and two of microlending, we randomly assigned subjects to be surveyed about health and/or household finances ...

    Zwane, Alix Peterson

    90

    Residential Energy Consumption Survey Data Tables  

    U.S. Energy Information Administration (EIA)

    Below are historical data tables from the Residential Energy Consumption Survey (RECS). These tables cover the total number of households ...

    91

    A Framework for Corporate Householding  

    E-Print Network (OSTI)

    Previous research on corporate household and corporate householding has presented examples, literature review, and working definitions. In this paper, we first improve our ...

    Madnick, Stuart

    2003-03-21T23:59:59.000Z

    92

    Energy Consumption of Refrigerators in Ghana - Outcomes of Household...  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Energy Consumption of Refrigerators in Ghana - Outcomes of Household Surveys Speaker(s): Essel Ben Hagan Date: July 12, 2007 - 12:00pm Location: 90-3122 Seminar HostPoint of...

    93

    Final Report Phase I Study to Characterize the Market Potential for Non-Motorized Travel  

    SciTech Connect

    The idea of livable communities suggests that people should have the option to utilize non-motorized travel (NMT), specifically walking and bicycling, to conduct their daily tasks. Forecasting personal travel by walk and bike is necessary as part of regional transportation planning, and requires fine detail not only about individual travel, but also on transportation and neighborhood infrastructure. In an attempt to characterize the 'market' potential for NMT, the Office of Planning, Federal Highway Administration (FHWA) funded the Center for Transportation Analysis (CTA) of the Oak Ridge National Laboratory (ORNL) to conduct a study. The objectives of this effort were to identify factors that influence communities to walk and bike and to examine why, or why not, travelers walk and bike in their communities. This study relied on information collected under the 2009 National Household Travel Survey (NHTS) as the major source of data, and was supplemented with data from the American Community Survey (ACS), educational survey, health, employment, and others. Initial statistical screening methods were applied to sort through over 400 potential predictor variables, and examined with various measures (e.g., walk trip per person, walk mileage per person, bike trip per person, bike mileage per person) as the dependent variables. The best geographic level of detail used in the modeling for this study was determined to be the Census block group level for walking and Census tract level for biking. The need for additional supplemental private data (i.e., Walk Scores and Nielsen employment data), and geospatial information that reflects land use and physical environments, became evident after an examination of findings from the initial screening models. To be feasible, in terms of costs and time, the geographic scale of the study region was scaled down to nine selected NHTS add-on regions. These regions were chosen based on various criteria including transit availability, population size, and a mix of geographic locations across the nation. Given the similarities in modeling results from walk trips and walk mileages, additional modeling efforts conducted under the later part of this study were focused on walk trips per person. Bike models were limited only with the stepwise logistic models using Census tracts in the selected regions. Due to NHTS sampling limitations, only about 12% of these tracts have bike trips recorded from NHTS sampled households. The modeling with NHTS bike data proved to be more challenging and time consuming than what was anticipated. Along with the late arrival of Nielsen employment data, the project team had to limit the modeling effort to focus on walking. Therefore, the final modeling and discriminant analysis was conducted only for walking trips.

    Hwang, Ho-Ling [ORNL; Reuscher, Tim [Macrosys; Wilson, Daniel W [ORNL; Schmoyer, Richard L [ORNL

    2012-06-01T23:59:59.000Z

    94

    Table WH2. Total Households by Water Heating Fuels Used, 2005 ...  

    U.S. Energy Information Administration (EIA)

    Total Households by Water Heating Fuels Used, 2005 ... 2005 Residential Energy Consumption Survey: Energy Consumption and Expenditures Tables. Table WH2.

    95

    Table SH2. Total Households by Space Heating Fuels Used, 2005 ...  

    U.S. Energy Information Administration (EIA)

    Total Households by Space Heating Fuels Used, 2005 ... 2005 Residential Energy Consumption Survey: ... Electricity Natural Gas Fuel Oil Kerosene LPG Other

    96

    Survey Expectations  

    E-Print Network (OSTI)

    of Michigan and is known as the Michigan survey, with many other similar surveys conducted across OECD countries so as to provide up to date information on consumer expectations. Questions on expectations are also sometimes included in panel surveys... be formed, do of course make it possible to assess whether, or how far, such expectations are well-founded by comparing the experiences of individual households with their prior expectations. A key aspect of the Michigan survey, and of many other more recent...

    Pesaran, M Hashem; Weale, Martin

    2006-03-14T23:59:59.000Z

    97

    A Joint Household Travel Distance Generation and Car Ownership Model  

    E-Print Network (OSTI)

    at a~ljustmentsof car ownership usage that representare from previous car ownership, train usage, and bus-tram-car usageare moreimportantthan the laggedeffects of public transport usage.

    Golob, Thomas F.; Van Wissen , Leo

    1989-01-01T23:59:59.000Z

    98

    A Joint Household Travel Distance Generation And Car Ownership Model  

    E-Print Network (OSTI)

    at a~ljustmentsof car ownership usage that representare from previous car ownership, train usage, and bus-tram-car usageare moreimportantthan the laggedeffects of public transport usage.

    Golob, Thomas F.; Van Wissen, Leo

    1989-01-01T23:59:59.000Z

    99

    Information for Travelers  

    Science Conference Proceedings (OSTI)

    Information for Travelers. Background Notes of Countries and International Organizations; Centers for Disease Control Health Information; ...

    2012-09-19T23:59:59.000Z

    100

    Travel Notes - World Market Update  

    Science Conference Proceedings (OSTI)

    Travel notes, air travel, rail travel. Travel Notes - World Market Update Biofuels and Bioproducts and Biodiesel Processing Elearning Olive oil Industry Events Industrial Oil Products Abstracts Program Travel Hotel Short Courses Exhibits Regi

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    101

    Assumptions to the Annual Energy Outlook 2001 - Household Expenditures  

    Gasoline and Diesel Fuel Update (EIA)

    Completed Copy in PDF Format Completed Copy in PDF Format Related Links Annual Energy Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Household Expenditures Module Key Assumptions The historical input data used to develop the HEM version for the AEO2001 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2001 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and

    102

    Crime and the Nation’s Households, 2000 By  

    E-Print Network (OSTI)

    experienced 1 or more violent or property crimes in 2000, according to data from the National Crime Victimization Survey (NCVS). About 4.3 million households had members who experienced 1 or more nonfatal violent crimes, including rape, sexual assault, robbery, and aggravated or simple assault. About 14.8 million households experienced 1 or more property crimes — household burglary, motor vehicle theft, or theft. Vandalism, presented for the first time in a Bureau of Justice Statistics (BJS) report, victimized about 6.1 million households. The households that sustained vandalism were counted separately from those experiencing other crimes. Because vandalism is included for the first time, findings are presented in a box on page 4. Beginning in 2001, NCVS victimizations will be measured both with and without vandalism. Measuring the extent to which households are victimized by crime One measure of the impact of crime throughout the Nation is gained through estimating the number and percentage of households victimized Highlights During 2000, 16 % of U.S. households had a member who experienced a crime, with 4 % having a member victimized by violent crime. During 1994, 25 % of households experienced at least one crime; 7 % a violent crime.

    Patsy A. Klaus

    2002-01-01T23:59:59.000Z

    103

    housingunit_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    Housing Unit Tables Housing Unit Tables (Million U.S. Households; 49 pages, 210 kb) Contents Pages HC1-1a. Housing Unit Characteristics by Climate Zone, Million U.S. Households, 2001 5 HC1-2a. Housing Unit Characteristics by Year of Construction, Million U.S. Households, 2001 4 HC1-3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 4 HC1-4a. Housing Unit Characteristics by Type of Housing Unit, Million U.S. Households, 2001 4 HC1-5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 4 HC1-6a. Housing Unit Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 4 HC1-7a. Housing Unit Characteristics by Four Most Populated States, Million U.S. Households, 2001 4

    104

    usage_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    Usage Indicators Tables Usage Indicators Tables (Million U.S. Households; 60 pages, 247 kb) Contents Pages HC6-1a. Usage Indicators by Climate Zone, Million U.S. Households, 2001 5 HC6-2a. Usage Indicators by Year of Construction, Million U.S. Households, 2001 5 HC6-3a. Usage Indicators by Household Income, Million U.S. Households, 2001 5 HC6-4a. Usage Indicators by Type of Housing Unit, Million U.S. Households, 2001 5 HC6-5a. Usage Indicators by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 5 HC6-6a. Usage Indicators by Type of Rented Housing Unit, Million U.S. Households, 2001 5 HC6-7a. Usage Indicators by Four Most Populated States, Million U.S. Households, 2001 5

    105

    homeoffice_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    Home Office Equipment Tables Home Office Equipment Tables (Million U.S. Households; 12 pages, 123 kb) Contents Pages HC7-1a. Home Office Equipment by Climate Zone, Million U.S. Households, 2001 1 HC7-2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 1 HC7-3a. Home Office Equipment by Household Income, Million U.S. Households, 2001 1 HC7-4a. Home Office Equipment by Type of Housing Unit, Million U.S. Households, 2001 1 HC7-5a. Home Office Equipment by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 1 HC7-6a. Home Office Equipment by Type of Rented Housing Unit, Million U.S. Households, 2001 1 HC7-7a. Home Office Equipment by Four Most Populated States, Million U.S. Households, 2001 1

    106

    An analysis of residential energy consumption and expenditures by minority households by home type and housing vintage  

    SciTech Connect

    In this paper a descriptive analysis of the relationship between energy consumption, patterns of energy use, and housing stock variables is presented. The purpose of the analysis is to uncover evidence of variations in energy consumption and expenditures, and patterns of energy use between majority households (defines as households with neither a black nor Hispanic head of household), black households (defined as households with a black head of household), and Hispanic households (defined as households with a Hispanic head of household) between 1980 (time of the first DOE/EIA Residential Energy Consumption Survey, 1982a) and 1987 (time of the last DOE/EIA Residential Energy Consumption Survey, 1989a). The analysis is three-dimensional: energy consumption and expenditures are presented by time (1980 to 1987), housing vintage, and housing type. A comparative analysis of changes in energy variables for the three population groups -- majority, black, and Hispanic -- within and between specific housing stock categories is presented.

    Poyer, D.A.

    1992-01-01T23:59:59.000Z

    107

    An analysis of residential energy consumption and expenditures by minority households by home type and housing vintage  

    SciTech Connect

    In this paper a descriptive analysis of the relationship between energy consumption, patterns of energy use, and housing stock variables is presented. The purpose of the analysis is to uncover evidence of variations in energy consumption and expenditures, and patterns of energy use between majority households (defines as households with neither a black nor Hispanic head of household), black households (defined as households with a black head of household), and Hispanic households (defined as households with a Hispanic head of household) between 1980 (time of the first DOE/EIA Residential Energy Consumption Survey, 1982a) and 1987 (time of the last DOE/EIA Residential Energy Consumption Survey, 1989a). The analysis is three-dimensional: energy consumption and expenditures are presented by time (1980 to 1987), housing vintage, and housing type. A comparative analysis of changes in energy variables for the three population groups -- majority, black, and Hispanic -- within and between specific housing stock categories is presented.

    Poyer, D.A.

    1992-06-01T23:59:59.000Z

    108

    Energy Consumption of Refrigerators in Ghana - Outcomes of Household  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Energy Consumption of Refrigerators in Ghana - Outcomes of Household Energy Consumption of Refrigerators in Ghana - Outcomes of Household Surveys Speaker(s): Essel Ben Hagan Date: July 12, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Robert Van Buskirk Galen Barbose As part of activities to develop refrigerator efficiency standards regulations in Ghana, a national survey on the energy consumption of refrigerators and refrigerator-freezers has been conducted. The survey covered 1000 households in urban, peri-urban and rural communities in various parts of the country. The survey found that, on average, refrigerators and refrigerator-freezers in Ghana use almost three times what is allowed by minimum efficiency standards in the U.S., and a few refrigerators had energy use at levels almost ten times the U.S.

    109

    Householder’s Perceptions of Insulation Adequacy and Drafts in the Home in 2001  

    E-Print Network (OSTI)

    In order to improve the estimation of end-use heating consumption, the Energy Information Administration's (EIA), 2001 Residential Energy Consumption Survey (RECS), for the first time, asked respondents to judge how drafty they perceived their homes to be as a measure of insulation quality. The analysis of the 2001 RECS data shows that householders in newlyconstructed homes perceived their homes to be better insulated and less drafty than do householders in older homes. Single-family homes are perceived to be better insulated and less drafty than are apartments in buildings with two to four units. Cross-variable comparisons also provide the associations between the level of insulation and winter drafts in the homes with household characteristics and location of the home.

    Behjat Hojjati

    2004-01-01T23:59:59.000Z

    110

    Household energy consumption and expenditures 1987  

    SciTech Connect

    This report is the third in the series of reports presenting data from the 1987 Residential Energy Consumption Survey (RECS). The 1987 RECS, seventh in a series of national surveys of households and their energy suppliers, provides baseline information on household energy use in the United States. Data from the seven RECS and its companion survey, the Residential Transportation Energy Consumption Survey (RTECS), are made available to the public in published reports such as this one, and on public use data files. This report presents data for the four Census regions and nine Census divisions on the consumption of and expenditures for electricity, natural gas, fuel oil and kerosene (as a single category), and liquefied petroleum gas (LPG). Data are also presented on consumption of wood at the Census region level. The emphasis in this report is on graphic depiction of the data. Data from previous RECS surveys are provided in the graphics, which indicate the regional trends in consumption, expenditures, and uses of energy. These graphs present data for the United States and each Census division. 12 figs., 71 tabs.

    Not Available

    1990-01-22T23:59:59.000Z

    111

    Characteristics, Welfare Use and Material Hardship Among California AFDC Households with Disabled and Chronically Ill Family Members  

    E-Print Network (OSTI)

    completed telephone survey o f AFDC-recipient households tocare for disabled members. When AFDC and SSI are consideredfamilies in this sample of AFDC recipient families were very

    Meyers, Marcia k.

    1996-01-01T23:59:59.000Z

    112

    Household Hazardous Waste Household hazardous waste is the discarded, unused, or leftover portion of household products  

    E-Print Network (OSTI)

    Household Hazardous Waste Household hazardous waste is the discarded, unused, or leftover portion of household products containing toxic chemicals. These wastes CANNOT be disposed of in regular garbage. Any should be considered hazardous. You cannot treat hazardous wastes like other kinds of garbage

    de Lijser, Peter

    113

    ac_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    Air Conditioning Tables Air Conditioning Tables (Million U.S. Households; 24 pages, 138 kb) Contents Pages HC4-1a. Air Conditioning by Climate Zone, Million U.S. Households, 2001 2 HC4-2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 2 HC4-3a. Air Conditioning by Household Income, Million U.S. Households, 2001 2 HC4-4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 2 HC4-5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 2 HC4-6a. Air Conditioning by Type of Rented Housing Unit, Million U.S. Households, 2001 2 HC4-7a. Air Conditioning by Four Most Populated States, Million U.S. Households, 2001 2 HC4-8a. Air Conditioning by Urban/Rural Location, Million U.S. Households, 2001 2

    114

    TMS Intl Travel Visa  

    Science Conference Proceedings (OSTI)

    Please note that the Department of Homeland Security is implementing the Electronic System for Travel Authorization, which is expected to be mandatory for

    115

    Energy Spending and Vulnerable Households  

    E-Print Network (OSTI)

     off than before. In particular large households with low  incomes seem to have been adversely affected by the new tariff structures since  they have comparably large energy expenditure (Bennet et al., 2002).    5. Vulnerable Households and Energy Spending  The...  tariffs can play an important part in the public debate  on  eradicating  fuel  poverty  and  helping  the  vulnerable  households.  Smart  metering  can  provide  consumers  with  information  on  the  actual  energy  consumption and might  lead  to...

    Jamasb, Tooraj; Meier, Helena

    2011-01-26T23:59:59.000Z

    116

    Active Travel Behavior  

    E-Print Network (OSTI)

    Evenson, K.R. , A.H. Herring, and S.L. Huston. (2005). “quasi-longitudinal study Evenson, Herring, and Huston (2005)household. Although Evenson, Herring, and Huston noted that

    Burbidge, Shaunna K; Goulias, Konstadinos G.

    2008-01-01T23:59:59.000Z

    117

    Household Vehicles Energy Consumption 1991  

    U.S. Energy Information Administration (EIA) Indexed Site

    DOEEIA-0464(91) Distribution Category UC-950 Household Vehicles Energy Consumption 1991 December 1993 Energy Information Administration Office of Energy Markets and End Use U.S....

    118

    Household Vehicles Energy Consumption 1991  

    U.S. Energy Information Administration (EIA) Indexed Site

    a regular basis at the time of the 1990 RECS personal interviews. Electricity: See Main Heating Fuel. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991...

    119

    Household Vehicles Energy Consumption 1994  

    U.S. Energy Information Administration (EIA) Indexed Site

    AdministrationHousehold Vehicles Energy Consumption 1994 110 Electricity: See Main Heating Fuel. Energy Used in the Home: For electricity or natural gas, the quantity is the...

    120

    Segmenting the mature travel market by motivation  

    Science Conference Proceedings (OSTI)

    The purpose of this study was to segment mature travellers based on their motivations and to profile the similarities and differences between mature travel market segments according to their sociodemographic and travel-related characteristics. A ... Keywords: USA, United States, cluster analysis, data analysis, educational travellers, factor analysis, mature markets, mature travellers, personal travellers, segmentation, social travellers, sociodemographics, travel market segments, travel motivation

    Yawei Wang; Yanli Zhang; John Xia; Zhongxian Wang

    2008-11-01T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    121

    Energy Information Administration/Household Vehicles Energy Consumption 1994  

    U.S. Energy Information Administration (EIA) Indexed Site

    , , Energy Information Administration/Household Vehicles Energy Consumption 1994 ix Household Vehicles Energy Consumption 1994 presents statistics about energy-related characteristics of highway vehicles available for personal use by members of U.S. households. The data were collected in the 1994 Residential Transportation Energy Consumption Survey, the final cycle in a series of nationwide energy consumption surveys conducted during the 1980's and 1990's by the Energy Information Administrations. Engines Became More Powerful . . . Percent Distribution of Total Residential Vehicle Fleet by Number of Cylinders, 1988 and 1994 Percent Distribution of Vehicle Fleet by Engine Size, 1988 and 1994 Percent Percent 4 cyl Less than 2.50 liters 6 cyl 2.50- 4.49 liters 8 cyl 4.50 liters or greater 20 20 40 40 Vehicle

    122

    char_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    3a. Household Characteristics by Household Income, 3a. Household Characteristics by Household Income, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Household Size 1 Person ....................................... 28.2 9.7 -- -- -- 6.5 11.3 5.7 2 Persons ...................................... 35.1 4.3 -- -- -- 2.0 7.8 5.8 3 Persons ...................................... 17.0 -- 3.3 -- -- 2.2 5.2 7.3 4 Persons ...................................... 15.6 -- 2.2 -- -- -- 4.3 8.1 5 Persons ...................................... 7.1

    123

    char_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    2a. Household Characteristics by West Census Region, 2a. Household Characteristics by West Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.8 1.1 Total .............................................................. 107.0 23.3 6.7 16.6 NE Household Size 1 Person ...................................................... 28.2 5.6 1.8 3.8 5.4 2 Persons .................................................... 35.1 7.3 1.9 5.5 4.9 3 Persons .................................................... 17.0 3.5 0.9 2.6 7.6 4 Persons .................................................... 15.6 3.5 1.1 2.4 6.4 5 Persons .................................................... 7.1 2.0 0.6 1.4 9.7 6 or More Persons

    124

    char_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    0a. Household Characteristics by Midwest Census Region, 0a. Household Characteristics by Midwest Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.7 Total .............................................................. 107.0 24.5 17.1 7.4 NE Household Size 1 Person ...................................................... 28.2 6.7 4.7 2.0 6.2 2 Persons .................................................... 35.1 8.0 5.4 2.6 5.0 3 Persons .................................................... 17.0 3.8 2.7 1.1 7.9 4 Persons .................................................... 15.6 3.5 2.5 1.0 8.1 5 Persons .................................................... 7.1 1.7

    125

    Residential energy consumption and expenditure patterns of black and nonblack households in the United States  

    Science Conference Proceedings (OSTI)

    Residential energy consumption and expenditures by black and nonblack households are presented by Census region and for the nation based on the Energy Information Administration's 1982-83 Residential Energy Consumption Survey (RECS). Black households were found to have significantly lower levels of electricity consumption at both the national and regional level. Natural gas is the dominant space heating fuel used by black households. Natural gas consumption was typically higher for black households. However, when considering natural gas consumption conditional on natural gas space heating no significant differences were found. 10 refs., 1 fig., 8 tabs.

    Vyas, A.D.; Poyer, D.A.

    1987-01-01T23:59:59.000Z

    126

    Household waste disposal in Mekelle city, Northern Ethiopia  

    SciTech Connect

    In many cities of developing countries, such as Mekelle (Ethiopia), waste management is poor and solid wastes are dumped along roadsides and into open areas, endangering health and attracting vermin. The effects of demographic factors, economic and social status, waste and environmental attributes on household solid waste disposal are investigated using data from household survey. Household level data are then analyzed using multinomial logit estimation to determine the factors that affect household waste disposal decision making. Results show that demographic features such as age, education and household size have an insignificant impact over the choice of alternative waste disposal means, whereas the supply of waste facilities significantly affects waste disposal choice. Inadequate supply of waste containers and longer distance to these containers increase the probability of waste dumping in open areas and roadsides relative to the use of communal containers. Higher household income decreases the probability of using open areas and roadsides as waste destinations relative to communal containers. Measures to make the process of waste disposal less costly and ensuring well functioning institutional waste management would improve proper waste disposal.

    Tadesse, Tewodros [Agricultural Economics and Rural Policy Group, Wageningen University, Hollandseweg 1 6706 KN Wageningen (Netherlands)], E-mail: tewodroslog@yahoo.com; Ruijs, Arjan [Environmental Economics and Natural Resources Group, Wageningen University, P.O. Box 8130, 6700 EW Wageningen (Netherlands); Hagos, Fitsum [International Water Management Institute (IWMI), Subregional Office for the Nile Basin and East Africa, P.O. Box 5689, Addis Ababa (Ethiopia)

    2008-07-01T23:59:59.000Z

    127

    Ventilation Behavior and Household Characteristics in NewCalifornia Houses  

    SciTech Connect

    A survey was conducted to determine occupant use of windows and mechanical ventilation devices; barriers that inhibit their use; satisfaction with indoor air quality (IAQ); and the relationship between these factors. A questionnaire was mailed to a stratified random sample of 4,972 single-family detached homes built in 2003, and 1,448 responses were received. A convenience sample of 230 houses known to have mechanical ventilation systems resulted in another 67 completed interviews. Some results are: (1) Many houses are under-ventilated: depending on season, only 10-50% of houses meet the standard recommendation of 0.35 air changes per hour. (2) Local exhaust fans are under-utilized. For instance, about 30% of households rarely or never use their bathroom fan. (3) More than 95% of households report that indoor air quality is ''very'' or ''somewhat'' acceptable, although about 1/3 of households also report dustiness, dry air, or stagnant or humid air. (4) Except households where people cook several hours per week, there is no evidence that households with significant indoor pollutant sources get more ventilation. (5) Except households containing asthmatics, there is no evidence that health issues motivate ventilation behavior. (6) Security and energy saving are the two main reasons people close windows or keep them closed.

    Price, Phillip N.; Sherman, Max H.

    2006-02-01T23:59:59.000Z

    128

    Source separation of household waste: A case study in China  

    SciTech Connect

    A pilot program concerning source separation of household waste was launched in Hangzhou, capital city of Zhejiang province, China. Detailed investigations on the composition and properties of household waste in the experimental communities revealed that high water content and high percentage of food waste are the main limiting factors in the recovery of recyclables, especially paper from household waste, and the main contributors to the high cost and low efficiency of waste disposal. On the basis of the investigation, a novel source separation method, according to which household waste was classified as food waste, dry waste and harmful waste, was proposed and performed in four selected communities. In addition, a corresponding household waste management system that involves all stakeholders, a recovery system and a mechanical dehydration system for food waste were constituted to promote source separation activity. Performances and the questionnaire survey results showed that the active support and investment of a real estate company and a community residential committee play important roles in enhancing public participation and awareness of the importance of waste source separation. In comparison with the conventional mixed collection and transportation system of household waste, the established source separation and management system is cost-effective. It could be extended to the entire city and used by other cities in China as a source of reference.

    Zhuang Ying; Wu Songwei; Wang Yunlong [Department of Environmental Engineering, Zhejiang University, Hangzhou 310029 (China); Wu Weixiang [Department of Environmental Engineering, Zhejiang University, Hangzhou 310029 (China)], E-mail: weixiang@zju.edu.cn; Chen Yingxu [Department of Environmental Engineering, Zhejiang University, Hangzhou 310029 (China)

    2008-07-01T23:59:59.000Z

    129

    Interviewee Travel Regulations Scope  

    NLE Websites -- All DOE Office Websites (Extended Search)

    3/2012 3/2012 Interviewee Travel Regulations Scope These regulations apply to the reimbursement of round-trip travel expenses incurred by interviewees. These regulations do not apply to applicants who live within a 50-mile radius of Los Alamos based on the Rand McNally Standard Highway Mileage Guide. Reimbursement With the exception of airfare, interviewees will be reimbursed for travel expenses according to Federal travel regulations. For interviewees, airfare reimbursement is limited to the lesser of the standard coach airfare or the actual amount paid. The lowest available airfare should be obtained based on the official business dates and locations. The reimbursement amount will be based on the most direct route available between the interviewee's residence and the laboratory. Costs incurred over the lowest available fare will be the

    130

    Travel Request Form  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Lodging Lodging Transportation SNAP COLLABORATION MEETING JUNE 1 - 3, 2006 TRAVEL FUNDING REQUEST FORM If you require Travel funding support from LBNL to attend the SNAP Collaboration Meeting, please fill out the travel request form below and click on the "SEND" button. As an alternative, you can simply email the requested information on the form to snap@lbl.gov Deadline: Please submit your request NLT Wednesday, May 10, 2006. Disclaimer: Please note that the submission of this request does not automatically constitute funding approval. 1. First Name Last Name 2. Has this travel funding support been pre-approved by the SNAP management? Yes No 3. If answer to #2 is "Yes": a) Approval by whom? b) What was the maximum reimbursement amount from SNAP?

    131

    Traveling-wave photodetector  

    DOE Patents (OSTI)

    The traveling-wave photodetector of the present invention combines an absorptive optical waveguide and an electrical transmission line, in which optical absorption in the waveguide results in a photocurrent at the electrodes of the electrical transmission line. The optical waveguide and electrical transmission line of the electrically distributed traveling-wave photodetector are designed to achieve matched velocities between the light in the optical waveguide and electrical signal generated on the transmission line. This velocity synchronization provides the traveling-wave photodetector with a large electrical bandwidth and a high quantum efficiency, because of the effective extended volume for optical absorption. The traveling-wave photodetector also provides large power dissipation, because of its large physical size. 4 figures.

    Hietala, V.M.; Vawter, G.A.

    1993-12-14T23:59:59.000Z

    132

    Traveling-wave photodetector  

    DOE Patents (OSTI)

    The traveling-wave photodetector of the present invention combines an absorptive optical waveguide and an electrical transmission line, in which optical absorption in the waveguide results in a photocurrent at the electrodes of the electrical transmission line. The optical waveguide and electrical transmission line of the electrically distributed traveling-wave photodetector are designed to achieve matched velocities between the light in the optical waveguide and electrical signal generated on the transmission line. This velocity synchronization provides the traveling-wave photodetector with a large electrical bandwidth and a high quantum efficiency, because of the effective extended volume for optical absorption. The traveling-wave photodetector also provides large power dissipation, because of its large physical size.

    Hietala, V.M.; Vawter, G.A.

    1992-12-31T23:59:59.000Z

    133

    Traveling-wave photodetector  

    DOE Patents (OSTI)

    The traveling-wave photodetector of the present invention combines an absorptive optical waveguide and an electrical transmission line, in which optical absorption in the waveguide results in a photocurrent at the electrodes of the electrical transmission line. The optical waveguide and electrical transmission line of the electrically distributed traveling-wave photodetector are designed to achieve matched velocities between the light in the optical waveguide and electrical signal generated on the transmission line. This velocity synchronization provides the traveling-wave photodetector with a large electrical bandwidth and a high quantum efficiency, because of the effective extended volume for optical absorption. The traveling-wave photodetector also provides large power dissipation, because of its large physical size.

    Hietala, Vincent M. (Placitas, NM); Vawter, Gregory A. (Albuquerque, NM)

    1993-01-01T23:59:59.000Z

    134

    Extending Efficiency Services to Underserved Households: NYSERDA...  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Extending Efficiency Services to Underserved Households: NYSERDA's Assisted Home Performance with ENERGY STAR Program Title Extending Efficiency Services to Underserved Households:...

    135

    University of Kansas Travel Handbook  

    E-Print Network (OSTI)

    ...................................................................................................................5 Future Employees Traveling Before Start Date .....................................................................................................................................6 Transportation Expenses.................................................................................................................................6 Reimbursable Transportation

    Peterson, Blake R.

    136

    Household Energy Expenditure and Income Groups: Evidence from Great Britain  

    E-Print Network (OSTI)

      and  0.024  for  district heating However, as income is not observed its effect cannot be analysed.  Wu et al. (2004) examine the demand for space heating in Armenia, Moldova, and  Kyrgyz  Republic  using  household  survey  data.  In  these  countries...  and in some regions incomes are not sufficient to  afford space heating from district heating systems making these systems unviable.  We  analyse  electricity,  gas  and  overall  energy  spending  for  a  large  sample  of  households  in  Great  Britain.  We  discern  inflection  points  and  discuss...

    Jamasb, Tooraj; Meier, H

    137

    Cover Page of Household Vehicles Energy Use: Latest Data & Trends  

    U.S. Energy Information Administration (EIA) Indexed Site

    Household Vehicles Energy Use Cover Page Cover Page of Household Vehicles Energy Use: Latest Data & Trends...

    138

    Greenhouse Earth: A Traveling Exhibition  

    SciTech Connect

    The Franklin Institute Science Museum provided an exhibit entitled the Greenhouse Earth: A Traveling Exhibition. This 3500 square-foot exhibit on global climate change was developed in collaboration with the Association of Science-Technology Centers. The exhibit opened at The Franklin Institute on February 14, 1992, welcoming 291,000 visitors over its three-month stay. During its three-year tour, Greenhouse Earth will travel to ten US cities, reaching two million visitors. Greenhouse Earth aims to deepen public understanding of the scientific issues of global warming and the conservation measures that can be taken to slow its effects. The exhibit features hands-on exhibitry, interactive computer programs and videos, a theater production, a demonstration cart,'' guided tours, and lectures. supplemental educational programs at the Institute included a teachers preview, a symposium on climate change, and a satellite field trip.'' The development of Greenhouse Earth included front-end and formative evaluation procedures. Evaluation includes interviews with visitors, prototypes, and summative surveys for participating museums. During its stay in Philadelphia, Greenhouse Earth was covered by the local and national press, with reviews in print and broadcast media. Greenhouse Earth is the first large-scale museum exhibit to address global climate change.

    Booth, W.H.; Caesar, S.

    1992-09-01T23:59:59.000Z

    139

    Household Vehicles Energy Consumption 1994  

    U.S. Energy Information Administration (EIA) Indexed Site

    W as hi ng to n, DC DOEEIA-0464(94) Distribution Category UC-950 Household Vehicles Energy Consumption 1994 August 1997 Energy Information Administration Office of Energy Markets...

    140

    ac_household2001.pdf  

    Annual Energy Outlook 2012 (EIA)

    2a. Air Conditioning by West Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    141

    Household savings and portfolio choice  

    E-Print Network (OSTI)

    This thesis consists of three essays that examine household savings and portfolio choice behavior. Chapter One analyses the effects of employer matching contributions and tax incentives on participation and contribution ...

    Klein, Sean Patrick

    2010-01-01T23:59:59.000Z

    142

    Zero Energy Travel  

    E-Print Network (OSTI)

    It is fundamentally possible to travel with zero energy based on Newton Laws of Motion. According to the first law of motion, a body will continue to travel for infinite distance unless it is acted upon by another force. For a body in motion, the force which stops perpetual motion is friction. However, there are many circumstances that friction is zero, for example in space, where there is vacuum. On earth, gravity makes objects to be in constant contact with each other generating friction but technology exists to separate them in the air using powerful magnetic forces. At low speeds, the friction caused by air is minimal but we can create vacuum even on land for high speed travel. Another condition for travelling is for it to stop at its destination. On land, we can recover the kinetic energy back into electrical energy using brushless permanent magnet generators. These generators can also convert electric energy into kinetic energy in order to provide motion. This article reviews technologies that will allow us to travel with zero energy. It is easier to do it on land but in the air, it is not obvious.

    Othman Ahmad; Aroland Kiring; Ali Chekima

    2011-09-17T23:59:59.000Z

    143

    ac_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    3a. Air Conditioning by Household Income, 3a. Air Conditioning by Household Income, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.5 1.4 1.1 1.0 0.9 1.5 0.9 Households With Electric Air-Conditioning Equipment ........ 82.9 12.3 17.4 21.5 31.7 9.6 23.4 3.9 Air Conditioners Not Used ............ 2.1 0.4 0.7 0.5 0.5 0.4 0.9 20.8 Households Using Electric Air-Conditioning 2 .......................... 80.8 11.9 16.7 21.0 31.2 9.1 22.6 3.9 Type of Electric Air-Conditioning Used Central Air-Conditioning 3 .............. 57.5 6.2 10.7 15.2 25.3 4.5 12.4 5.3 Without a Heat Pump .................. 46.2 4.9 9.1 12.1 20.1 3.6 10.4 6.1 With a Heat Pump

    144

    Econometric analysis of energy use in urban households  

    SciTech Connect

    This article analyzes the pattern of energy carrier consumption in the residential sector of Bangalore, a major city in south India. A 1,000-household survey was used to study the type of energy carrier used by households in different income groups for different end-uses, such as cooking, water heating, and lighting. The dependence of income on the carrier utilized is established using a carrier dependence index. Using regression analysis, the index analyses the impact of different explanatory variables such as family income, family size, and price of energy carrier on consumption. The results show that income plays an important role not only in the selection of an energy carrier but also on the quantity of consumption per household. Also, a source-service matrix is prepared for Bangalore`s residential sector, which shows the disaggregation of energy consumption by the type of energy carrier and end-use.

    Reddy, B.S. [Indira Gandhi Inst. of Development Research, Bombay (India)

    1995-05-01T23:59:59.000Z

    145

    SPECIAL REPORT 298: EFFECTS OF LAND DEVELOPMENT PATTERNS ON MOTORIZED TRAVEL, ENERGY, AND CO2 EMISSIONS  

    E-Print Network (OSTI)

    SPECIAL REPORT 298: EFFECTS OF LAND DEVELOPMENT PATTERNS ON MOTORIZED TRAVEL, ENERGY, AND CO2 by significant fuel economy legislation, energy taxes, household-level carbon budgets, and cooperative behavior alternative to gasoline and diesel, achieving significant GHG and petroleum savings. However, biofuels

    Kockelman, Kara M.

    146

    char_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    a. Household Characteristics by Climate Zone, a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.1 1.2 1.0 Total ............................................... 107.0 9.2 28.6 24.0 21.0 24.1 7.8 Household Size 1 Person ....................................... 28.2 2.5 8.1 6.5 4.8 6.2 9.9 2 Persons ...................................... 35.1 3.1 9.4 8.2 6.5 7.9 8.7 3 Persons ...................................... 17.0 1.3 4.3 4.0 3.3 4.1 10.7 4 Persons ...................................... 15.6 1.4 3.9 3.4 3.4 3.5 10.5 5 Persons ......................................

    147

    char_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    6a. Household Characteristics by Type of Rented Housing Unit, 6a. Household Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total Rented Units ........................ 34.3 10.5 7.4 15.2 1.1 6.9 Household Size 1 Person ....................................... 12.3 2.5 2.6 7.0 0.3 10.0 2 Persons ...................................... 9.2 2.5 2.5 4.1 Q 11.8 3 Persons ...................................... 5.4 2.0 1.1 2.0 0.4 13.9 4 Persons ...................................... 3.8 1.6 0.7 1.4 Q 17.7 5 Persons ...................................... 2.0 0.9 0.4 0.6 Q 24.1 6 or More Persons ........................

    148

    char_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    5a. Household Characteristics by Type of Owner-Occupied Housing Unit, 5a. Household Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.3 0.4 2.0 2.9 1.3 Total Owner-Occupied Units ....... 72.7 63.2 2.1 1.8 5.7 6.7 Household Size 1 Person ....................................... 15.8 12.5 0.8 0.9 1.6 10.3 2 Persons ...................................... 25.9 23.4 0.5 0.5 1.5 10.1 3 Persons ...................................... 11.6 9.6 0.5 Q 1.3 12.1 4 Persons ...................................... 11.8 10.9 Q Q 0.7 15.7 5 Persons ...................................... 5.1 4.5 Q Q 0.4 24.2 6 or More Persons

    149

    char_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    1a. Household Characteristics by South Census Region, 1a. Household Characteristics by South Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.1 1.5 1.6 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Household Size 1 Person ...................................................... 28.2 9.9 5.0 1.8 3.1 6.3 2 Persons .................................................... 35.1 13.0 6.7 2.5 3.8 4.2 3 Persons .................................................... 17.0 6.6 3.7 1.2 1.7 8.8 4 Persons .................................................... 15.6 6.0 3.3 0.8 1.9 10.7 5 Persons ....................................................

    150

    char_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    8a. Household Characteristics by Urban/Rural Location, 8a. Household Characteristics by Urban/Rural Location, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.4 1.3 1.4 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.1 Household Size 1 Person ...................................................... 28.2 14.6 5.3 4.8 3.6 6.4 2 Persons .................................................... 35.1 15.7 5.7 6.9 6.8 5.4 3 Persons .................................................... 17.0 7.6 2.8 3.5 3.1 7.2 4 Persons .................................................... 15.6 6.8 2.3 4.1 2.4 8.1 5 Persons .................................................... 7.1 3.1 1.3 1.3 1.4 12.3 6 or More Persons

    151

    homeoffice_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    3a. Home Office Equipment by Household Income, 3a. Home Office Equipment by Household Income, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.4 1.9 1.2 1.0 0.6 1.9 0.9 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 47.6 3.0 Households Using Office Equipment .......................... 96.2 13.2 19.8 25.5 37.7 10.7 38.8 3.2 Personal Computers 2 ................... 60.0 3.7 8.7 16.0 31.6 3.7 17.4 4.6 Number of Desktop PCs 1 .................................................. 45.1 2.8 7.1 12.8 22.4 2.8 13.6 5.1 2 or more .................................... 9.1 0.6 0.7 1.7 6.2 0.6 2.2 13.0 Number of Laptop PCs

    152

    char_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    2a. Household Characteristics by Year of Construction, 2a. Household Characteristics by Year of Construction, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.6 1.2 1.0 1.2 1.2 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Household Size 1 Person ....................................... 28.2 2.5 4.5 5.1 4.0 3.7 8.3 7.5 2 Persons ...................................... 35.1 4.8 6.2 6.6 4.5 5.3 7.8 5.8 3 Persons ...................................... 17.0 2.5 3.3 2.9 2.3 1.9 4.1 8.4 4 Persons ...................................... 15.6 3.4 2.8 2.3 1.9 1.8 3.4 9.6 5 Persons ...................................... 7.1 1.6 1.2 1.3 0.6 0.7 1.6 14.3 6 or More Persons

    153

    Using GPS Travel Data to Assess the Real World Driving Energy Use of Plug-In Hybrid Electric Vehicles (PHEVs)  

    DOE Green Energy (OSTI)

    Highlights opportunities using GPS travel survey techniques and systems simulation tools for plug-in hybrid vehicle design improvements, which maximize the benefits of energy efficiency technologies.

    Gonder, J.; Markel, T.; Simpson, A.; Thornton, M.

    2007-05-01T23:59:59.000Z

    154

    2005 PTM Travel Information - TMS  

    Science Conference Proceedings (OSTI)

    TRAVEL INFORMATION · SOCIAL EVENTS & TOURS · VISA INFORMATION ... Wind: SSW at 7 mph. Airport Delays · Beach Conditions · Pollen Reports ...

    155

    Travel plans: opportunities for ICT  

    Science Conference Proceedings (OSTI)

    Site-based mobility management or 'travel plans' address the transport problem by engaging with those organisations such as employers that are directly responsible for generating the demand for travel, and hence have the potential to have a major impact ... Keywords: ict, market niche, sustainable transport, travel plans

    Marcus P. Enoch

    2012-06-01T23:59:59.000Z

    156

    Household energy in South Asia  

    Science Conference Proceedings (OSTI)

    This research study on the use of energy in South Asis (India, Pakistan, Sri Lanka and Bangladesh) was sponsored by the Food and Agriculture Organization of the UN, the International Bank for Reconstruction and Development (the World Bank), and the Directorate-General for Development of the Commission of the European Communities. The aim of this book is to improve the understanding of household energy and its linkages, by reviewing the data resources on household energy use, supply, prices and other relevant factors that exist in South Asia.

    Leach, G.

    1987-01-01T23:59:59.000Z

    157

    Table WH1. Total Households Using Water Heating Equipment, 2005 ...  

    U.S. Energy Information Administration (EIA)

    Table WH1. Total Households Using Water Heating Equipment, 2005 Million U.S. Households Fuels Used (million U.S. households) Number of Water Heaters Used

    158

    Household Vehicles Energy Consumption 1991  

    U.S. Energy Information Administration (EIA) Indexed Site

    Appendix A How the Survey Was Conducted Introduction The Residential Transportation Energy Consumption Survey (RTECS) was designed by the Energy Information Administration (EIA)...

    159

    spaceheat_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    3a. Space Heating by Household Income, 3a. Space Heating by Household Income, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Heat Home ..................................... 106.0 18.4 22.7 26.8 38.1 14.6 33.4 3.3 Do Not Heat Home ........................ 1.0 0.3 Q 0.3 0.3 0.3 0.4 23.4 No Heating Equipment .................. 0.5 Q Q Q 0.2 Q Q 35.0 Have Equipment But Do Not Use It ................................ 0.4 Q Q Q Q 0.2 0.3 22.8 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 106.0 18.4 22.7

    160

    appl_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    3a. Appliances by Household Income, 3a. Appliances by Household Income, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.5 1.4 1.1 1.0 0.8 1.6 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 18.0 22.0 26.1 35.6 14.4 32.6 3.2 1 ................................................ 95.2 17.3 21.1 24.8 32.0 13.8 31.1 3.4 2 or More .................................. 6.5 0.8 0.9 1.3 3.6 0.6 1.5 13.1 Most Used Oven ........................ 101.7 18.0 22.0 26.1 35.6 14.4 32.6 3.2

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    161

    Residential Energy Consumption Survey: Quality Profile  

    SciTech Connect

    The Residential Energy Consumption Survey (RECS) is a periodic national survey that provides timely information about energy consumption and expenditures of U.S. households and about energy-related characteristics of housing units. The survey was first conducted in 1978 as the National Interim Energy Consumption Survey (NIECS), and the 1979 survey was called the Household Screener Survey. From 1980 through 1982 RECS was conducted annually. The next RECS was fielded in 1984, and since then, the survey has been undertaken at 3-year intervals. The most recent RECS was conducted in 1993.

    NONE

    1996-03-01T23:59:59.000Z

    162

    Household Energy Consumption and Expenditures 1993 -- Executive ...  

    U.S. Energy Information Administration (EIA)

    national level data on energy-related issues on households and energy expenditures in the residential sector.

    163

    Residential energy use and conservation actions: analysis of disaggregate household data  

    Science Conference Proceedings (OSTI)

    The Energy Information Administration recently published data they collected from the National Interim Energy Consumption Survey (NIECS). NIECS includes detailed information on 4081 individual households: demographic characteristics, energy-related features of the structure, heating equipment and appliances therein, recent conservation actions taken by the household, and fuel consumption and cost for the April 1978 to March 1979 one-year period. This data set provides a new and valuable resource for analysis. The NIECS data on household energy consumption - total energy use, electricity use, and use of the primary space heating fuel, are summarized and analyzed. The regression equations constructed explain roughly half the variation in energy use among households. These equations contain ten or fewer independent variables, the most important of which are fuel price, year house was built, floor area, and heating degree days. Regression equations were developed that estimate the energy saving achieved by each household based on their recent retrofit actions. These equations predict 20 to 40% of the variation among households. Total annual energy use is the most important determinant of retrofit energy saving; other significant variables include age of household head, household income, year house was built, housing tenure, and proxies for the cost of heating and air conditioning the house.

    Hirst, E.; Goeltz, R.; Carney, J.

    1981-03-01T23:59:59.000Z

    164

    Fuelwood Use by Rural Households in the Brazilian Atlantic Forest  

    E-Print Network (OSTI)

    Fuelwood is an important source of domestic energy in rural regions of Brazil. In the Zona da Mata of Minas Gerais, native species from the Atlantic Forest are an important source of fuelwood, supplemented by wood from eucalyptus and coffee plantations. The use of native species is complicated by their increasing scarcity and the recent enforcement of forest policies that prohibit the felling of even dead natives trees without a permit. In this study, the factors contributing to the use of fuelwood in this region, despite the simultaneous use of liquid petroleum gas in most households, are explored by examining fuelwood use patterns in four small rural communities in the Zona da Mata Mineira using household surveys and semi-structured interviews. Two hypotheses were tested using a Jacknife regression. The first hypothesis, based on the energy ladder model, tested the predictive power of socioeconomic status in relation to fuelwood use. Two dependent variables were used to represent the importance of fuelwood to a household: the amount of time a household spent collecting fuelwood (Effort) and the number of purposes a household used fuelwood for (Class of Fuelwood Use). Socioeconomic status did explain a statistically significant percentage of the variance in Effort, but not in Class of Fuelwood Use. The second hypothesis tested for a moderating effect of the availability of fuelwood on the relationship between the socioeconomic status of a household and the dependent variables. The interaction between access to fuelwood and socioeconomic status was shown to explain a significant percentage of the variance in Effort, thereby indicating that the effect of socioeconomic status on time spent collecting fuelwood depends on access to fuelwood. However, there was no statistically significant interaction found between Class of Fuelwood Use and fuelwood availability. The Atlantic Forest Policy was found to have little influence on domestic energy decisions made by surveyed households. Few research subjects had a good understanding of the basic tenets of this policy and the Forest Police do not have adequate resources to enforce the policy at this level.

    Wilcox-Moore, Kellie J.

    2010-05-01T23:59:59.000Z

    165

    Improving Demographic Components of Integrated Assessment Models: The Effect of Changes in Population Composition by Household Characteristics  

    SciTech Connect

    This report describes results of the research project on "Improving Demographic Components of Integrated Assessment Models: The Effect of Changes in Population Composition by Household Characteristics". The overall objective of this project was to improve projections of energy demand and associated greenhouse gas emissions by taking into account demographic factors currently not incorporated in Integrated Assessment Models (IAMs) of global climate change. We proposed to examine the potential magnitude of effects on energy demand of changes in the composition of populations by household characteristics for three countries: the U.S., China, and Indonesia. For each country, we planned to analyze household energy use survey data to estimate relationships between household characteristics and energy use; develop a new set of detailed household projections for each country; and combine these analyses to produce new projections of energy demand illustrating the potential importance of consideration of households.

    Brian C. O'Neill

    2006-08-09T23:59:59.000Z

    166

    Travel Demand Modeling  

    SciTech Connect

    This chapter describes the principal types of both passenger and freight demand models in use today, providing a brief history of model development supported by references to a number of popular texts on the subject, and directing the reader to papers covering some of the more recent technical developments in the area. Over the past half century a variety of methods have been used to estimate and forecast travel demands, drawing concepts from economic/utility maximization theory, transportation system optimization and spatial interaction theory, using and often combining solution techniques as varied as Box-Jenkins methods, non-linear multivariate regression, non-linear mathematical programming, and agent-based microsimulation.

    Southworth, Frank [ORNL; Garrow, Dr. Laurie [Georgia Institute of Technology

    2011-01-01T23:59:59.000Z

    167

    Elasticities of Electricity Demand in Urban Indian Households  

    E-Print Network (OSTI)

    Energy demand, and in particular electricity demand in India has been growing at a very rapid rate over the last decade. Given, current trends in population growth, industrialisation, urbanisation, modernisation and income growth, electricity consumption is expected to increase substantially in the coming decades as well. Tariff reforms could play a potentially important role as a demand side management tool in India. However, the effects of any price revisions on consumption will depend on the price elasticity of demand for electricity. In the past, electricity demand studies for India published in international journals have been based on aggregate macro data at the country or sub-national / state level. In this paper, price and income elasticities of electricity demand in the residential sector of all urban areas of India are estimated for the first time using disaggregate level survey data for over thirty thousand households. Three electricity demand functions have been estimated using monthly data for the following seasons: winter, monsoon and summer. The results show electricity demand is income and price inelastic in all three seasons, and that household, demographic and geographical variables are important in determining electricity demand, something that is not possible to determine using aggregate macro models alone. Key Words Residential electricity demand, price elasticity, income elasticity Short Title Electricity demand in Indian households Acknowledgements: The authors would like to gratefully acknowledge the National Sample Survey Organisation, Department of Statistics of the Government of India, for making available to us the unit level, household survey data. We would also like to thank Prof. Daniel Spreng for his support of our research. 2 1.

    Shonali Pachauri

    2002-01-01T23:59:59.000Z

    168

    homeoffice_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    9a. Home Office Equipment by Northeast Census Region, 9a. Home Office Equipment by Northeast Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.1 1.4 1.2 Total .............................................................. 107.0 20.3 14.8 5.4 NE Households Using Office Equipment ......................................... 96.2 17.9 12.8 5.0 1.3 Personal Computers 1 ................................. 60.0 10.9 7.7 3.3 3.1 Number of Desktop PCs 1 ................................................................ 45.1 8.7 6.2 2.5 3.7 2 or more ................................................... 9.1 1.4 0.9 0.5 12.9 Number of Laptop PCs 1 ................................................................

    169

    Energy and household expenditure patterns  

    Science Conference Proceedings (OSTI)

    Since households account, either directly or indirectly, for two-thirds of the energy consumed in the US, changes in household activities will affect energy use. Expected changes in prices, personal income, and family spending over the next 20 years are looked at as well as the implications for energy consumption. The analysis shows that direct energy purchases will break with past trends, dropping from 2.6% to 0.2% annual growth for the rest of the century. Growth in spending on energy-using goods is also likely to slow down. The year 2000 will see a marked decrease in the growth of national energy consumption. 58 references, 3 figures, 35 tables.

    Lareau, T.J.; Darmstadter, J.

    1983-01-01T23:59:59.000Z

    170

    homeoffice_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    0a. Home Office Equipment by Midwest Census Region, 0a. Home Office Equipment by Midwest Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Households Using Office Equipment ......................................... 96.2 22.4 15.7 6.7 1.3 Personal Computers 1 ................................. 60.0 14.1 9.9 4.2 3.7 Number of Desktop PCs 1 ................................................................ 45.1 10.4 7.2 3.2 3.7 2 or more ................................................... 9.1 2.3 1.6 0.7 10.1 Number of Laptop PCs 1 ................................................................

    171

    char_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    2001 2001 Household Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total .............................................................. 107.0 7.1 12.3 7.7 6.3 NE Household Size 1 Person ...................................................... 28.2 2.2 2.4 1.8 1.7 7.3 2 Persons .................................................... 35.1 2.2 4.0 2.4 2.0 6.9 3 Persons .................................................... 17.0 1.1 2.0 1.2 1.2 9.5 4 Persons .................................................... 15.6 0.8 1.9 1.3 0.9 11.2 5 Persons .................................................... 7.1 0.4 1.1 0.4 0.5 19.8 6 or More Persons ....................................... 4.0 0.4 0.9 0.4 0.1 16.4 2001 Household Income Category

    172

    ac_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    0a. Air Conditioning by Midwest Census Region, 0a. Air Conditioning by Midwest Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 20.5 13.6 6.8 2.2 Air Conditioners Not Used ........................... 2.1 0.3 Q Q 27.5 Households Using Electric Air-Conditioning 1 ........................................ 80.8 20.2 13.4 6.7 2.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 14.3 9.5 4.8 3.8 Without a Heat Pump ................................ 46.2 13.6 9.0 4.6 3.9 With a Heat Pump .....................................

    173

    ac_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    8a. Air Conditioning by Urban/Rural Location, 8a. Air Conditioning by Urban/Rural Location, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.4 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 36.8 13.6 18.9 13.6 4.3 Air Conditioners Not Used ........................... 2.1 1.2 0.2 0.4 0.3 21.4 Households Using Electric Air-Conditioning 2 ........................................ 80.8 35.6 13.4 18.6 13.3 4.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 3 ............................ 57.5 23.6 8.6 15.8 9.4 5.1 Without a Heat Pump ................................ 46.2 19.3 7.4 13.1 6.4 6.3 With a Heat Pump ..................................... 11.3 4.4

    174

    ac_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    5a. Air Conditioning by Type of Owner-Occupied Housing Unit, 5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 59.5 58.7 6.5 12.4 5.3 5.2 Air Conditioners Not Used ............ 1.2 1.1 Q 0.6 Q 23.3 Households Using Electric Air-Conditioning 1 .......................... 58.2 57.6 6.3 11.8 5.1 5.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 44.7 43.6 3.2 7.1 3.5 7.0 Without a Heat Pump .................. 35.6 35.0 2.4 6.1 2.7 7.7 With a Heat Pump .......................

    175

    ac_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    6a. Air Conditioning by Type of Rented Housing Unit, 6a. Air Conditioning by Type of Rented Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.8 0.5 1.4 1.2 1.6 Households With Electric Air-Conditioning Equipment ........ 23.4 58.7 6.5 12.4 5.3 6.1 Air Conditioners Not Used ............ 0.9 1.1 Q 0.6 Q 23.0 Households Using Electric Air-Conditioning 1 .......................... 22.5 57.6 6.3 11.8 5.1 6.2 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 12.7 43.6 3.2 7.1 3.5 8.5 Without a Heat Pump .................. 10.6 35.0 2.4 6.1 2.7 9.3 With a Heat Pump ....................... 2.2 8.6 0.8 1.0

    176

    Inconsistent pathways of household waste  

    Science Conference Proceedings (OSTI)

    The aim of this study was to provide policy-makers and waste management planners with information about how recycling programs affect the quantities of specific materials recycled and disposed of. Two questions were addressed: which factors influence household waste generation and pathways? and how reliable are official waste data? Household waste flows were studied in 35 Swedish municipalities, and a wide variation in the amount of waste per capita was observed. When evaluating the effect of different waste collection policies, it was found to be important to identify site-specific factors influencing waste generation. Eleven municipal variables were investigated in an attempt to explain the variation. The amount of household waste per resident was higher in populous municipalities and when net commuting was positive. Property-close collection of dry recyclables led to increased delivery of sorted metal, plastic and paper packaging. No difference was seen in the amount of separated recyclables per capita when weight-based billing for the collection of residual waste was applied, but the amount of residual waste was lower. Sixteen sources of error in official waste statistics were identified and the results of the study emphasize the importance of reliable waste generation and composition data to underpin waste management policies.

    Dahlen, Lisa [Division of Waste Science and Technology, Lulea University of Technology, SE, 971 87 Lulea (Sweden)], E-mail: lisa.dahlen@ltu.se; Aberg, Helena [Department of Food, Health and Environment, University of Gothenburg, P.O. Box 12204, SE, 402 42 Gothenburg (Sweden); Lagerkvist, Anders [Division of Waste Science and Technology, Lulea University of Technology, SE, 971 87 Lulea (Sweden); Berg, Per E.O. [HB Anttilator, Stagnellsgatan 3, SE, 652 23, Karlstad (Sweden)

    2009-06-15T23:59:59.000Z

    177

    ac_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    1a. Air Conditioning by South Census Region, 1a. Air Conditioning by South Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 37.2 19.3 6.4 11.5 1.5 Air Conditioners Not Used ........................... 2.1 0.4 Q Q Q 28.2 Households Using Electric Air-Conditioning 1 ........................................ 80.8 36.9 19.0 6.4 11.5 1.6 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 30.4 16.1 5.0 9.2 2.8 Without a Heat Pump ................................ 46.2 22.1 10.4 3.4 8.3 5.6 With a Heat Pump

    178

    ac_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    9a. Air Conditioning by Northeast Census Region, 9a. Air Conditioning by Northeast Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.8 Households With Electric Air-Conditioning Equipment ...................... 82.9 14.5 11.3 3.2 3.3 Air Conditioners Not Used ........................... 2.1 0.3 0.3 Q 28.3 Households Using Electric Air-Conditioning 1 ........................................ 80.8 14.2 11.1 3.2 3.4 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 5.7 4.9 0.8 8.9 Without a Heat Pump ................................ 46.2 5.2 4.5 0.7 9.2 With a Heat Pump .....................................

    179

    ac_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    2a. Air Conditioning by Year of Construction, 2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.6 1.2 1.1 1.2 1.1 0.9 Households With Electric Air-Conditioning Equipment ........ 82.9 13.6 16.0 14.7 10.4 10.5 17.6 4.7 Air Conditioners Not Used ............ 2.1 Q 0.3 0.5 0.3 0.4 0.5 27.2 Households Using Electric Air-Conditioning 2 .......................... 80.8 13.4 15.8 14.2 10.1 10.2 17.1 4.7 Type of Electric Air-Conditioning Used Central Air-Conditioning 3 .............. 57.5 12.6 13.7 11.0 7.1 6.6 6.4 5.9 Without a Heat Pump .................. 46.2 10.1 10.4 8.0 6.1 5.9 5.7 7.0 With a Heat Pump ....................... 11.3 2.5 3.3

    180

    ac_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    4a. Air Conditioning by Type of Housing Unit, 4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.6 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 82.9 58.7 6.5 12.4 5.3 4.9 Air Conditioners Not Used ............ 2.1 1.1 Q 0.6 Q 21.8 Households Using Electric Air-Conditioning 1 .......................... 80.8 57.6 6.3 11.8 5.1 4.9 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 57.5 43.6 3.2 7.1 3.5 6.7 Without a Heat Pump .................. 46.2 35.0 2.4 6.1 2.7 7.7 With a Heat Pump ....................... 11.3 8.6 0.8 1.0 0.8 19.7 Room Air-Conditioning

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    181

    d. volunteer leader travel policy  

    Science Conference Proceedings (OSTI)

    the name of the event, who is attending, and a projected cost for budgetary purposes. The proposed volunteer leader travel budget will be approved by the ...

    182

    PRICM 8: Housing and Travel  

    Science Conference Proceedings (OSTI)

    Please note that the Department of Homeland Security is implementing the Electronic System for Travel Authorization, which is expected to be mandatory for

    183

    1999 EMC: Travel Information - TMS  

    Science Conference Proceedings (OSTI)

    Jul 2, 1999 ... Travel by Train: Amtrak provides daily service from San Francisco and Los Angeles. The station is located in downtown Santa Barbara.

    184

    Travel and Entertainment All Airlines  

    E-Print Network (OSTI)

    , Flying Fields Travel Agencies and Tour Operators Bridge and Road Fees, Tolls Services (Utilities) Wire Institutions Securities Brokers /Dealers Insurance Sales, Underwriting and Premiums Lodging Hotels, Motels

    Castillo, Steven P.

    185

    Annual housing survey: 1979. United States and regions. part f: energy-related housing characteristics  

    Science Conference Proceedings (OSTI)

    This report presents statistics on energy - related housing characteristics from the 1979 Annual Housing Survey for the United States by inside and outside standard metropolitan statistical areas (SMSA's) and each of the four geographic regions. The statistics are based on information from a sample of housing units. The information was collected by personal interview from September 1979 to December 1979. For the United States as a whole and for the separate regions (North Central, Northeast, South, and West), data are presented on fuel, fuel cost, heating, air conditioning, insulation, and transportation characteristics in relation to the following information: income of families and primary individuals, value of owner - occupied housing units, gross rent of renter - occupied housing units, housing units in structure, number of rooms per housing unit, year structure built, monthly cost paid for electricity, and others. Also shown are the yearly cost paid for fuel oil, coal, etc. and household head's principal means of transportation to work, by distance and travel time to work in 1979. Data are classified according to all races, black - housing units with black household head, and Spanish - housing units with household head of Spanish origin. Maps and a table - finding guide are provided. Appendices describe the geographic area classifications; define subjects covered in the report; and present information on sample design, estimation, and data accuracy.

    Not Available

    1982-03-01T23:59:59.000Z

    186

    RECS data show decreased energy consumption per household  

    Reports and Publications (EIA)

    Total United States energy consumption in homes has remained relatively stable for many years as increased energy efficiency has offset the increase in the number and average size of housing units, according to the newly released data from the Residential Energy Consumption Survey (RECS). The average household consumed 90 million British thermal units (Btu) in 2009 based on RECS. This continues the downward trend in average residential energy consumption of the last 30 years. Despite increases in the number and the average size of homes plus increased use of electronics, improvements in efficiency for space heating, air conditioning, and major appliances have all led to decreased consumption per household. Newer homes also tend to feature better insulation and other characteristics, such as double-pane windows, that improve the building envelope.

    2012-06-06T23:59:59.000Z

    187

    Home > Households, Buildings & Industry > Energy Efficiency Page ...  

    U.S. Energy Information Administration (EIA)

    Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities >Table 7a Glossary U.S. Residential Housing Primary Page Last Revised: July 2009

    188

    Alston S. Householder Fellowship | Careers | ORNL  

    NLE Websites -- All DOE Office Websites (Extended Search)

    in Scientific Computing honors Dr. Alston S. Householder, founding Director of the Mathematics Division (now Computer Science and Mathematics Division) at the Oak Ridge National...

    189

    Home > Households, Buildings & Industry > Energy Efficiency ...  

    U.S. Energy Information Administration (EIA)

    Glossary Home > Households, Buildings & Industry > Energy Efficiency > Residential Buildings Energy Intensities > Table 4 Total Square Feet of U.S. Housing Units

    190

    Home > Households, Buildings & Industry > Energy Efficiency Page ...  

    U.S. Energy Information Administration (EIA)

    Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities > Table 5c Glossary U.S. Residential Housing Site Page Last Revised: July 2009

    191

    Residential Energy Usage by Origin of Householder  

    U.S. Energy Information Administration (EIA)

    Home > Energy Users > Residential Home Page > Energy Usage by Origin of Householder. Consumption and Expenditures. NOTE: To View and/or Print PDF's ...

    192

    Home > Households, Buildings & Industry > Energy Efficiency Page ...  

    U.S. Energy Information Administration (EIA)

    Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities >Table 7b Glossary U.S. Residential Housing Primary Energy Intensity

    193

    Home > Households, Buildings & Industry > Energy Efficiency Page ...  

    U.S. Energy Information Administration (EIA)

    Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities > Table 8b Glossary U.S. Residential Buildings Primary Energy Intensity

    194

    Household Vehicles Energy Consumption 1991  

    U.S. Energy Information Administration (EIA) Indexed Site

    methodology used to estimate these statistics relied on data from the 1990 Residential Energy Consumption Survey (RECS), the 1991 Residential Transportation Energy Consumption...

    195

    homeoffice_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    1a. Home Office Equipment by South Census Region, 1a. Home Office Equipment by South Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.6 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Households Using Office Equipment ......................................... 96.2 34.6 18.4 6.0 10.1 1.2 Personal Computers 1 ................................. 60.0 20.7 11.7 3.2 5.8 4.0 Number of Desktop PCs 1 ................................................................ 45.1 15.5 8.6 2.6 4.3 4.9 2 or more ................................................... 9.1 3.1 2.0 0.4 0.7 9.6 Number of Laptop PCs

    196

    Electricity Prices for Households - EIA  

    Gasoline and Diesel Fuel Update (EIA)

    Households for Selected Countries1 Households for Selected Countries1 (U.S. Dollars per Kilowatthour) Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 Argentina NA NA NA NA NA NA 0.023 NA NA Australia 0.091 0.092 0.094 0.098 NA NA NA NA NA Austria 0.144 0.154 0.152 0.163 0.158 0.158 0.178 0.201 NA Barbados NA NA NA NA NA NA NA NA NA Belgium NA NA NA NA NA NA NA NA NA Bolivia NA NA NA NA NA NA NA NA NA Brazil NA NA NA NA NA NA 0.145 0.171 NA Canada 0.067 0.069 0.070 0.071 0.076 0.078 NA NA NA Chile NA NA NA NA NA NA 0.140 0.195 NA China NA NA NA NA NA NA NA NA NA Chinese Taipei (Taiwan) 0.075 0.071 0.074 0.076 0.079 0.079 0.080 0.086 NA Colombia NA NA NA NA NA NA 0.111 0.135 NA

    197

    homeoffice_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    2a. Home Office Equipment by Year of Construction, 2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.4 1.1 1.1 1.2 1.2 1.0 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Households Using Office Equipment .......................... 96.2 14.9 16.7 17.0 12.2 13.0 22.4 4.4 Personal Computers 2 ................... 60.0 11.0 11.6 10.3 7.2 7.8 12.0 5.3 Number of Desktop PCs 1 .................................................. 45.1 8.0 9.0 7.7 5.3 6.1 9.1 5.8 2 or more .................................... 9.1 1.8 1.6 2.0 1.1 1.0 1.6 11.8 Number of Laptop PCs 1 ..................................................

    198

    ac_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    2001 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Households With Electric Air-Conditioning Equipment ...................... 82.9 4.9 6.0 7.4 6.2 2.4 Air Conditioners Not Used ........................... 2.1 0.1 0.8 Q 0.1 23.2 Households Using Electric Air-Conditioning 1 ........................................ 80.8 4.7 5.2 7.4 6.1 2.6 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 1.3 3.9 6.2 5.7 6.7 Without a Heat Pump ................................ 46.2 1.2 3.2 5.5 3.8 8.1 With a Heat Pump ..................................... 11.3 Q 0.8 0.6 1.9 14.7 Room Air-Conditioning ................................ 23.3 3.4 1.2 1.2 0.3 13.6 1 Unit

    199

    homeoffice_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    a. Home Office Equipment by Climate Zone, a. Home Office Equipment by Climate Zone, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.2 1.1 1.0 Total ............................................... 107.0 9.2 28.6 24.0 21.0 24.1 7.9 Households Using Office Equipment .......................... 96.2 8.4 26.2 21.1 19.0 21.5 7.8 Personal Computers 2 ................... 60.0 5.7 16.7 13.1 12.1 12.6 7.4 Number of Desktop PCs 1 .................................................. 45.1 4.2 12.8 9.6 8.8 9.6 7.8 2 or more .................................... 9.1 0.8 2.4 2.3 2.0 1.7 12.1 Number of Laptop PCs 1 ..................................................

    200

    NHTS.pub  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Research Areas Freight Flows Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies National Household Travel Survey...

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    201

    PMP-III 2008: Travel - TMS  

    Science Conference Proceedings (OSTI)

    PMP-III: Travel. For Thailand and Bangkok travel information, visit the Tourism Authority of Thailand. AIRORT TRANSPORTATION. Public metered taxi is the ...

    202

    TAKING A TRIP? Travel Management Contracts  

    E-Print Network (OSTI)

    to airline/rail reservations, hotel lodging, airport transportation, and car rentals. #12;TRAVEL MGMT, car rentals, incidentals. Improper usage examples include movies, utility bills, alcohol. Non travel

    Zobin, Nahum

    203

    2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions  

    U.S. Energy Information Administration (EIA) Indexed Site

    D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the Household Bottled Gas (LPG or Propane) Usage Form What is the purpose of the Residential Energy Consumption Survey? The Residential Energy Consumption Survey (RECS) collects data on energy consumption and expenditures in U.S. housing units. Over 5,000 statistically selected households across the U.S. have already provided information about their household, the physical characteristics of their housing unit, their energy-using equipment, and their energy suppliers. Now we are requesting the energy billing records for these households from each of their energy suppliers. After all this information has been collected, the information will be used to

    204

    www.elsevier.com/locate/trc Willingness to pay for travel information  

    E-Print Network (OSTI)

    Improved travel information received via electronic sources can inform people about travel conditions and help them make travel decisions. The personal benefits of high quality travel information may motivate individuals to pay for information. This study analyzes travelersÕ willingness to pay for better quality information received from a traveler information system offered through a public–private partnership in the San Francisco Bay Area. The data were collected in 1997 through a computer-aided telephone interview of individuals who called traveler advisory telephone system (TATS) and were willing to be interviewed (N 511). The survey results indicate that the average number of times per month the respondents called TATS was 4.80 (TATS was a free service at the time). The average use of the system would decline if the service was not improved but a service charge was initiated. People indicated that they were more willing to pay for a customized service. The impacts of travel information, travel context and socioeconomic variables on willingness to pay for information were analyzed by estimating a random-effects negative binomial regression model of revealed and stated TATS calling frequency. The results indicate that customized travel information, longer trips, worktrips, and listening to radio trafficreports are associated with higher TATS calling frequency and with greater willingness to pay for information. Overall, the consumer response to

    Asad J. Khattak A; Youngbin Yim

    2000-01-01T23:59:59.000Z

    205

    Characterization of household waste in Greenland  

    Science Conference Proceedings (OSTI)

    The composition of household waste in Greenland was investigated for the first time. About 2 tonnes of household waste was sampled as every 7th bag collected during 1 week along the scheduled collection routes in Sisimiut, the second largest town in Greenland with about 5400 inhabitants. The collection bags were sorted manually into 10 material fractions. The household waste composition consisted primarily of biowaste (43%) and the combustible fraction (30%), including anything combustible that did not belong to other clean fractions as paper, cardboard and plastic. Paper (8%) (dominated by magazine type paper) and glass (7%) were other important material fractions of the household waste. The remaining approximately 10% constituted of steel (1.5%), aluminum (0.5%), plastic (2.4%), wood (1.0%), non-combustible waste (1.8%) and household hazardous waste (1.2%). The high content of biowaste and the low content of paper make Greenlandic waste much different from Danish household waste. The moisture content, calorific value and chemical composition (55 elements, of which 22 were below detection limits) were determined for each material fraction. These characteristics were similar to what has been found for material fractions in Danish household waste. The chemical composition and the calorific value of the plastic fraction revealed that this fraction was not clean but contained a lot of biowaste. The established waste composition is useful in assessing alternative waste management schemes for household waste in Greenland.

    Eisted, Rasmus, E-mail: raei@env.dtu.dk [Department of Environmental Engineering, Technical University of Denmark, Kongens Lyngby (Denmark); Christensen, Thomas H. [Department of Environmental Engineering, Technical University of Denmark, Kongens Lyngby (Denmark)

    2011-07-15T23:59:59.000Z

    206

    A Quantum Mechanical Travelling Salesman  

    E-Print Network (OSTI)

    A quantum simulation of a travelling salesman is described. A vector space for a graph is defined together with a sequence of operators which transform a special initial state into a superposition states representing Hamiltonian tours. The quantum amplitude for any tour is a function of the classical cost of travelling along the edges in that tour. Tours with the largest quantum amplitude may be different than those with the smallest classically-computed cost.

    Ravindra N. Rao

    2011-08-23T23:59:59.000Z

    207

    appl_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    9a. Appliances by Northeast Census Region, 9a. Appliances by Northeast Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.3 1.6 Total .............................................................. 107.0 20.3 14.8 5.4 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 19.6 14.5 5.2 1.1 1 .............................................................. 95.2 18.2 13.3 4.9 1.1 2 or More ................................................. 6.5 1.4 1.1 0.3 11.7 Most Used Oven ...................................... 101.7 19.6 14.5 5.2 1.1 Electric .....................................................

    208

    spaceheat_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    1a. Space Heating by South Census Region, 1a. Space Heating by South Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.9 1.2 1.4 1.3 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Heat Home .................................................... 106.0 38.8 20.2 6.8 11.8 NE Do Not Heat Home ....................................... 1.0 Q Q Q Q 20.1 No Heating Equipment ................................ 0.5 Q Q Q Q 39.8 Have Equipment But Do Not Use It ............................................... 0.4 Q Q Q Q 39.0 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0

    209

    spaceheat_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    9a. Space Heating by Northeast Census Region, 9a. Space Heating by Northeast Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.7 Total .............................................................. 107.0 20.3 14.8 5.4 NE Heat Home .................................................... 106.0 20.1 14.7 5.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.9 No Heating Equipment ................................ 0.5 Q Q Q 39.5 Have Equipment But Do Not Use It ............................................... 0.4 Q Q Q 38.7 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 20.1 14.7 5.4 NE Natural Gas .................................................

    210

    spaceheat_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    0a. Space Heating by Midwest Census Region, 0a. Space Heating by Midwest Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Heat Home .................................................... 106.0 24.5 17.1 7.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.8 No Heating Equipment ................................ 0.5 Q Q Q 39.2 Have Equipment But Do Not Use It ............................................... 0.4 Q Q Q 38.4 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 24.5 17.1 7.4 NE Natural Gas

    211

    spaceheat_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    2a. Space Heating by West Census Region, 2a. Space Heating by West Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.6 1.0 1.6 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Heat Home .................................................... 106.0 22.6 6.7 15.9 NE Do Not Heat Home ....................................... 1.0 0.7 Q 0.7 10.6 No Heating Equipment ................................ 0.5 0.4 Q 0.4 18.1 Have Equipment But Do Not Use It ............................................... 0.4 0.2 Q 0.2 27.5 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 22.6 6.7 15.9 NE Natural Gas .................................................

    212

    appl_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    2a. Appliances by West Census Region, 2a. Appliances by West Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.7 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 22.1 6.6 15.5 1.1 1 .............................................................. 95.2 20.9 6.4 14.5 1.1 2 or More ................................................. 6.5 1.2 0.2 1.0 14.6 Most Used Oven ...................................... 101.7 22.1 6.6 15.5 1.1 Electric .....................................................

    213

    The Determinants of Homeonwership in Presence of Shocks Experienced by Mexican Households  

    E-Print Network (OSTI)

    Homeownership is both an individual and society objective, because of the positive neighborhood effects associated with areas of higher homeownership. To help realize these positive effects, the Mexican government has several programs directed to increasing homeownership. Many factors, however, may influence homeownership including shocks experienced by households. Shocks such as death in family, illness or accidents, unemployment, and business, crop, or livestock loss affect homeownership if households are unable to cushion the impact of the shock. Government income support programs, however, may help cushion the effect of a shock. The main objective is to determine how shocks that households’ experience and government income support programs influence homeownership in Mexico. A secondary objective is to determine how socio-demographic variables influence homeownership in Mexico. Based on the Random Utility Model, logit models of homeownership are estimated using data are from the 2002 Mexican National Survey on Living Levels of Households. Two models are estimated; with and without income. Income is excluded because of a large number of households that did not report income. Generally, inferences from the two models are similar. Homeownership appears to not be affected by shocks experienced by households. It appears households are able to cushion the impact of shocks. The two income support programs, the Program of Direct Rural Support of Mexico (PROGRESA) and the Program of Direct Rural Support of Mexico (PROCAMPO), appear to be increasing homeownership. These social welfare programs provide cash transfers to households. For whatever reason, PROGRESA has a larger effect on homeownership than PROCAMPO. Households with older heads have a larger probability of being a homeowner than households with younger heads. No statistically significance relationship exists between education and homeownership. Regional differences are seen in homeownership, with households located in the northwest region having a higher probability of homeownership than other regions. Differences in the significance of variable representing the household head’s gender, marital status, and occupation on homeownership exist between logit models that include and do not include current income. The most likely reason for these differences is interactions between the variables and a wealth effect.

    Lopez Cabrera, Jesus 1977-

    2012-12-01T23:59:59.000Z

    214

    The household energy transition in India and China Shonali Pachauri a,, Leiwen Jiang b  

    E-Print Network (OSTI)

    household surveys. The two countries differ sharply in several respects. Residential energy consumption of national primary energy consumption statistics shows clearly that both India and China are countries energy consumption remains low in both countries, particularly in India. Average energy use is low

    215

    Probit Model Estimation Revisited: Trinomial Models of Household Car Ownership  

    E-Print Network (OSTI)

    Household Ownership of Car Davidon, W. C. (1959) VariableStudy Report 9: Models of Car Ownership and License Holding.Trinomial Models of Household Car Ownership. Transportation

    Bunch, David S.; Kitamura, Ryuichi

    1991-01-01T23:59:59.000Z

    216

    Modeling patterns of hot water use in households  

    E-Print Network (OSTI)

    7 No Dishwashers . . . . . . . .to households without dishwashers. no_cw is only applied towasher; the absence of a dishwasher; a household consisting

    Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

    1996-01-01T23:59:59.000Z

    217

    EIA - Appendix B: Estimation Methodologies of Household Vehicles Energy  

    U.S. Energy Information Administration (EIA) Indexed Site

    If you have trouble viewing this page, contact the National Energy Informaiton Center at (202) 586-8800. Return to Energy Information Administration Home Page If you have trouble viewing this page, contact the National Energy Informaiton Center at (202) 586-8800. Return to Energy Information Administration Home Page EIA Home > Transportation Home Page > Appendix B Estimation MethodologiesIntroduction Appendix B Estimation Methodologies Introduction Statistics concerning vehicle miles traveled (VMT), vehicle fuel efficiency (given in terms of miles per gallon (MPG)), vehicle fuel consumption, and vehicle fuel expenditures are presented in this report. The methodology used to estimate these statistics relied on data from the 1993 Residential Energy Consumption Survey (RECS), the 1994 Residential Transportation Energy Consumption Survey (RTECS), the U.S. Environmental Protection Agency (EPA) fuel efficiency test results, the U.S. Bureau of Labor Statistics (BLS) retail pump price series, and the Lundberg Survey, Inc., price series for 1994.

    218

    ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

    E-Print Network (OSTI)

    Residential Appliance Saturation Survey  Database.  Residential Appliance Saturation  Survey (RASS) database (

    Masanet, Eric

    2010-01-01T23:59:59.000Z

    219

    ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

    SciTech Connect

    The term ?household carbon footprint? refers to the total annual carbon emissions associated with household consumption of energy, goods, and services. In this project, Lawrence Berkeley National Laboratory developed a carbon footprint modeling framework that characterizes the key underlying technologies and processes that contribute to household carbon footprints in California and the United States. The approach breaks down the carbon footprint by 35 different household fuel end uses and 32 different supply chain fuel end uses. This level of end use detail allows energy and policy analysts to better understand the underlying technologies and processes contributing to the carbon footprint of California households. The modeling framework was applied to estimate the annual home energy and supply chain carbon footprints of a prototypical California household. A preliminary assessment of parameter uncertainty associated with key model input data was also conducted. To illustrate the policy-relevance of this modeling framework, a case study was conducted that analyzed the achievable carbon footprint reductions associated with the adoption of energy efficient household and supply chain technologies.

    Kramer, Klaas Jan; Homan, Greg; Brown, Rich; Worrell, Ernst; Masanet, Eric

    2009-04-15T23:59:59.000Z

    220

    A Multi Agent-Based Framework for Simulating Household PHEV Distribution and Electric Distribution Network Impact  

    DOE Green Energy (OSTI)

    The variation of household attributes such as income, travel distance, age, household member, and education for different residential areas may generate different market penetration rates for plug-in hybrid electric vehicle (PHEV). Residential areas with higher PHEV ownership could increase peak electric demand locally and require utilities to upgrade the electric distribution infrastructure even though the capacity of the regional power grid is under-utilized. Estimating the future PHEV ownership distribution at the residential household level can help us understand the impact of PHEV fleet on power line congestion, transformer overload and other unforeseen problems at the local residential distribution network level. It can also help utilities manage the timing of recharging demand to maximize load factors and utilization of existing distribution resources. This paper presents a multi agent-based simulation framework for 1) modeling spatial distribution of PHEV ownership at local residential household level, 2) discovering PHEV hot zones where PHEV ownership may quickly increase in the near future, and 3) estimating the impacts of the increasing PHEV ownership on the local electric distribution network with different charging strategies. In this paper, we use Knox County, TN as a case study to show the simulation results of the agent-based model (ABM) framework. However, the framework can be easily applied to other local areas in the US.

    Cui, Xiaohui [ORNL; Liu, Cheng [ORNL; Kim, Hoe Kyoung [ORNL; Kao, Shih-Chieh [ORNL; Tuttle, Mark A [ORNL; Bhaduri, Budhendra L [ORNL

    2011-01-01T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    221

    Did Household Consumption Become More Volatile?  

    E-Print Network (OSTI)

    I show that after accounting for predictable variation arising from movements in real interest rates, preferences, income shocks, liquidity constraints and measurement errors, volatility of household consumption in the US increased between 1970 and 2004. For households headed by nonwhite and/or poorly educated individuals, this rise was significantly larger. This stands in sharp contrast with the dramatic fall in instability of the aggregate U.S. economy over the same period. Thus, while aggregate shocks affecting households fell over time, idiosyncratic shocks increased. This finding may lead to significant welfare implications.

    Olga Gorbachev

    2009-01-01T23:59:59.000Z

    222

    Household Vehicles Energy Consumption 1991  

    U.S. Energy Information Administration (EIA) Indexed Site

    C C Quality of the Data Appendix C Quality of the Data Introduction This appendix discusses several issues relating to the quality of the Residential Transportation Energy Consumption Survey (RTECS) data and to the interpretation of conclusions based on these data. The first section discusses under- coverage of the vehicle stock in the residential sector. The second section discusses the effects of using July 1991 as a time reference for the survey. The remainder of this appendix discusses the treatment of sampling and nonsampling errors in the RTECS, the quality of specific data items such as the Vehicle Identification Number (VIN) and fuel prices, and poststratification procedures used in the 1991 RTECS. The quality of the data collection and the processing of the data affects the accuracy of estimates based on survey data. All the statistics published in this report such as total

    223

    2005 Residential Energy Consumption Survey  

    U.S. Energy Information Administration (EIA) Indexed Site

    F (2005) - Household Natural Gas Usage Form F (2005) - Household Natural Gas Usage Form OMB No. 1905-0092, Expiring May 31, 2008 Household Natural Gas Usage Form Service Address: If the customer account number is not shown above, please enter it here. STEP 1 Customer Account: __/__/__/__/__/__/__/__/__/__/__/__/__/__/__/ STEP 2 Now, please turn the page and provide the requested information for the household identified above. Completed forms are due by March 4, 2006. If you have any questions, please call (toll-free) 1-NNN-NNN-NNNN. Ask for the Supplier Survey Specialist. This report is mandatory under Public Law 93-275, as amended. See the enclosed Answers to Frequently Asked Questions for more details concerning confidentiality and sanctions. Use the enclosed self-addressed envelope and return the completed form to:

    224

    2005 Residential Energy Consumption Survey  

    U.S. Energy Information Administration (EIA) Indexed Site

    G (2005) - Household Fuel Oil or Kerosene Usage Form G (2005) - Household Fuel Oil or Kerosene Usage Form OMB No. 1905-0092, Expiring May 31, 2008 Household Fuel Oil or Kerosene Usage Form Service Address: If the customer account number is not shown on the label, please enter it here. STEP 1 Customer Account: __/__/__/__/__/__/__/__/__/__/__/__/__/__/__/ STEP 2 Now, please turn the page and answer the seven questions for the household identified above. Completed forms are due by March 4, 2006. If you have any questions, please call (toll-free) 1-NNN-NNN-NNNN. Ask for the Supplier Survey Specialist. This report is mandatory under Public Law 93-275, as amended. See the enclosed Answers to Frequently Asked Questions for more details concerning confidentiality and sanctions.

    225

    2005 Residential Energy Consumption Survey  

    U.S. Energy Information Administration (EIA) Indexed Site

    D (2005) - Household Propane (Bottled Gas or LPG) Usage Form D (2005) - Household Propane (Bottled Gas or LPG) Usage Form OMB No. 1905-0092, Expiring May 31, 2008 Household Propane (Bottled Gas or LPG) Usage Form Service Address: If the customer account number is not shown on the label, please enter it here. STEP 1 Customer Account: __/__/__/__/__/__/__/__/__/__/__/__/__/__/__/ STEP 2 Now, please turn the page and answer the seven questions for the household identified above. Completed forms are due by March 4, 2006. If you have any questions, please call (toll-free) 1-NNN-NNN-NNNN. Ask for the Supplier Survey Specialist. This report is mandatory under Public Law 93-275, as amended. See the enclosed Answers to Frequently Asked Questions for more details concerning confidentiality

    226

    appl_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    a. Appliances by Climate Zone, a. Appliances by Climate Zone, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.1 1.2 1.1 Total .................................................. 107.0 9.2 28.6 24.0 21.0 24.1 7.8 Kitchen Appliances Cooking Appliances Oven .............................................. 101.7 9.1 27.9 23.1 19.4 22.2 7.8 1 ................................................... 95.2 8.7 26.0 21.6 17.7 21.2 7.9 2 or More ..................................... 6.5 0.4 1.9 1.5 1.7 1.0 14.7 Most Used Oven ........................... 101.7 9.1 27.9 23.1 19.4 22.2

    227

    appl_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    4a. Appliances by Type of Housing Unit, 4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.5 1.7 1.6 1.9 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 69.1 9.4 16.7 6.6 4.3 1 ................................................ 95.2 63.7 8.9 16.2 6.3 4.3 2 or More .................................. 6.5 5.4 0.4 0.4 0.2 15.9 Most Used Oven ........................ 101.7 69.1 9.4 16.7 6.6 4.3 Electric ...................................... 63.0 43.3 5.2 10.9 3.6

    228

    spaceheat_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    8a. Space Heating by Urban/Rural Location, 8a. Space Heating by Urban/Rural Location, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.6 0.9 1.3 1.3 1.2 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.3 Heat Home .................................................... 106.0 49.1 18.0 21.2 17.8 4.3 Do Not Heat Home ....................................... 1.0 0.7 0.1 0.1 0.1 25.8 No Heating Equipment ................................ 0.5 0.4 0.1 Q 0.1 33.2 Have Equipment But Do Not Use It ............................................... 0.4 0.3 Q Q Q 30.2 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 49.1 18.0 21.2 17.8 4.3 Natural Gas

    229

    spaceheat_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    5a. Space Heating by Type of Owner-Occupied Housing Unit, 5a. Space Heating by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.4 1.9 3.0 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Heat Home ..................................... 72.4 63.0 2.0 1.7 5.7 6.7 Do Not Heat Home ........................ 0.4 0.2 Q Q Q 46.2 No Heating Equipment .................. 0.3 0.2 Q Q Q 39.0 Have Equipment But Do Not Use It ................................ Q Q Q Q Q NF Main Heating Fuel and Equipment (Have and Use Equipment) ............ 72.4 63.0 2.0 1.7 5.7 6.7 Natural Gas

    230

    spaceheat_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    2a. Space Heating by Year of Construction, 2a. Space Heating by Year of Construction, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.5 1.5 1.1 1.1 1.1 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.3 Heat Home ..................................... 106.0 15.4 18.2 18.6 13.6 13.9 26.4 4.3 Do Not Heat Home ........................ 1.0 Q Q Q 0.2 0.3 Q 23.2 No Heating Equipment .................. 0.5 Q Q Q 0.2 Q Q 30.3 Have Equipment But Do Not Use It ................................ 0.4 Q Q Q Q Q Q 37.8 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 106.0 15.4 18.2 18.6 13.6 13.9 26.4 4.3 Natural Gas ...................................

    231

    appl_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    5a. Appliances by Type of Owner-Occupied Housing Unit, 5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.3 0.4 2.1 3.1 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Kitchen Appliances Cooking Appliances Oven ........................................... 68.3 59.1 2.0 1.7 5.4 7.0 1 ................................................ 62.9 54.1 2.0 1.6 5.2 7.1 2 or More .................................. 5.4 5.0 Q Q 0.2 22.1 Most Used Oven ........................ 68.3 59.1 2.0 1.7 5.4 7.0 Electric ......................................

    232

    spaceheat_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    4a. Space Heating by Type of Housing Unit, 4a. Space Heating by Type of Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.7 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.4 Heat Home ..................................... 106.0 73.4 9.4 16.4 6.8 4.5 Do Not Heat Home ........................ 1.0 0.3 Q 0.6 Q 19.0 No Heating Equipment .................. 0.5 0.2 Q 0.3 Q 24.2 Have Equipment But Do Not Use It ................................ 0.4 Q Q 0.3 Q 28.1 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 106.0 73.4 9.4 16.4 6.8 4.5 Natural Gas ...................................

    233

    appl_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    2a. Appliances by Year of Construction, 2a. Appliances by Year of Construction, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.5 1.2 1.1 1.2 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 14.3 17.2 17.8 12.9 13.7 25.9 4.2 1 ................................................ 95.2 13.1 16.3 16.6 12.1 12.7 24.3 4.4 2 or More .................................. 6.5 1.2 0.9 1.1 0.7 1.0 1.6 14.8 Most Used Oven ........................ 101.7 14.3 17.2 17.8 12.9 13.7 25.9 4.2 Electric ......................................

    234

    spaceheat_household2001.pdf  

    U.S. Energy Information Administration (EIA) Indexed Site

    6a. Space Heating by Type of Rented Housing Unit, 6a. Space Heating by Type of Rented Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Heat Home ..................................... 33.7 10.4 7.4 14.8 1.1 6.9 Do Not Heat Home ........................ 0.6 Q Q 0.5 Q 21.4 No Heating Equipment .................. 0.2 Q Q Q Q 84.5 Have Equipment But Do Not Use It ................................ 0.4 Q Q 0.3 Q 36.4 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 33.7 10.4 7.4 14.8 1.1 6.9 Natural Gas ...................................

    235

    ANALYSIS OF CEE HOUSEHOLD SURVEY NATIONAL AWARENESS OF ENERGY...  

    NLE Websites -- All DOE Office Websites (Extended Search)

    2011 to four percent in 2012 and the proportion informed by their lender increased from zero percent in 2011 to one percent in 2012. All other responses were statistically...

    236

    Residential Energy Consumption Survey (RECS) - Data - U.S. Energy  

    U.S. Energy Information Administration (EIA) Indexed Site

    1997 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 1997 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables Table Titles (Released: February 2004) Entire Section Percents Tables: HC1 Housing Unit Characteristics, Million U.S. Households PDF PDF NOTE: As of 10/31/01, numbers in the "Housing Units" TABLES section for stub item: "Number of Floors in Apartment Buildings" were REVISED. These numbers will differ from the numbers in the published report. Tables: HC2 Household Characteristics, Million U.S. Households PDF PDF Tables: HC3 Space Heating, Million U.S. Households PDF PDF Tables: HC4 Air-Conditioning, Million U.S. Households PDF PDF Tables: HC5 Appliances, Million U.S. Households PDF PDF

    237

    Residential Energy Consumption Survey (RECS) - Data - U.S. Energy  

    U.S. Energy Information Administration (EIA) Indexed Site

    3 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 3 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables Topical Sections Entire Section All Detailed Tables PDF Tables: HC1 Household Characteristics, Million U.S. Households Presents data relating to location, type, ownership, age, size, construction, and householder demographic and income characteristics. PDF Tables: HC2 Space Heating, Million U.S. Households Presents data describing the types of heating fuel and equipment used for main and secondary heating purposes. PDF Tables: HC3 Air-Conditioning, Million U.S. Households Presents data describing selected household characteristics including location, number of rooms and area cooled and air-conditioning usage. PDF

    238

    Microsoft Word - Household Energy Use CA  

    U.S. Energy Information Administration (EIA) Indexed Site

    0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household ï‚· California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site consumption results in households spending 30% less for energy than the U.S. average. ï‚· Average site electricity consumption in California homes is among the lowest in the nation, as the mild climate in much of the state leads to less reliance on

    239

    Microsoft Word - Household Energy Use CA  

    Gasoline and Diesel Fuel Update (EIA)

    0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household ï‚· California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site consumption results in households spending 30% less for energy than the U.S. average. ï‚· Average site electricity consumption in California homes is among the lowest in the nation, as the mild climate in much of the state leads to less reliance on

    240

    U.S. Household Electricity Report  

    Reports and Publications (EIA)

    Brief analysis reports on the amount of electricity consumed annually by U.S. households for each of several end uses, including space heating and cooling, water heating, lighting, and the operation of more than two dozen appliances.

    Barbara Fichman

    2005-07-14T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    241

    Household gasoline demand in the United States  

    E-Print Network (OSTI)

    Continuing rapid growth in U.S. gasoline consumption threatens to exacerbate environmental and congestion problems. We use flexible semiparametric and nonparametric methods to guide analysis of household gasoline consumption, ...

    Schmalensee, Richard

    1995-01-01T23:59:59.000Z

    242

    2 The Financial and Economic Crises: Implications for Consumer Finance and for Households in Michigan  

    E-Print Network (OSTI)

    IPPSR and MSUE at Michigan State University for financial support. This paper was partially written while a Visiting Scholar at the National Poverty Center at the University of Michigan, and its Michigan is an epicenter of the recent economic and financial crises. Median personal income was 8 percent above the national average at the beginning of the decade and was 8 percent below the national average by the end of it. Between 2008 and 2009, personal income fell for the first time since 1958. Rates of unemployment and foreclosure activity remain high and above the national average. Indeed, the Michigan economy is changing in dramatic and important ways, but there is little information on household responses to this changing environment. How are Michigan households responding to economic and financial shocks? Are they smoothing income, consumption, or both? What mechanisms are they using to achieve these outcomes? On which factors does the degree of adjustment depend? Using data collected from recent household surveys,

    Lisa D. Cook; Lisa D. Cook; Ann Marie Schneider; Lauren Meunier; Lisa D. Cook

    2010-01-01T23:59:59.000Z

    243

    Building Technologies Residential Survey  

    SciTech Connect

    Introduction A telephone survey of 1,025 residential occupants was administered in late October for the Building Technologies Program (BT) to gather information on residential occupant attitudes, behaviors, knowledge, and perceptions. The next section, Survey Results, provides an overview of the responses, with major implications and caveats. Additional information is provided in three appendices as follows: - Appendix A -- Summary Response: Provides summary tabular data for the 13 questions that, with subparts, comprise a total of 25 questions. - Appendix B -- Benchmark Data: Provides a benchmark by six categories to the 2001 Residential Energy Consumption Survey administered by EIA. These were ownership, heating fuel, geographic location, race, household size and income. - Appendix C -- Background on Survey Method: Provides the reader with an understanding of the survey process and interpretation of the results.

    Secrest, Thomas J.

    2005-11-07T23:59:59.000Z

    244

    Evaluation of an Urban Travel Training for Older Adults  

    E-Print Network (OSTI)

    of life. Travel training programs designed to increaseevaluation of a travel training program that educated olderservices. Travel training programs that instruct older

    Babka, Rhianna JoIris; Cooper, Jill F.; Ragland, David R.

    2009-01-01T23:59:59.000Z

    245

    DOE Tribal Leader Solar Energy Forum - Travel Fact Sheet | Department...  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Tribal Leader Solar Energy Forum - Travel Fact Sheet DOE Tribal Leader Solar Energy Forum - Travel Fact Sheet Travel Fact Sheet Palm Springs Dec 2011.pdf More Documents &...

    246

    Patterns of rural household energy use: a study in the White Nile province - the Sudan  

    Science Conference Proceedings (OSTI)

    The study investigates rural household domestic energy consumption patterns in a semiarid area of the Sudan. It describes the socioeconomic and evironmental context of energy use, provides an estimation of local woody biomass production and evaluates ecological impacts of increased energy demand on the local resource base. It is based on findings derived from field surveys, a systematic questionnaire and participant observations. Findings indicate that households procure traditional fuels by self-collection and purchases. Household members spent on average 20% of their working time gathering fuels. Generally per caput and total annual expenditure and consumption of domestic fuels are determined by household size, physical availability, storage, prices, income, conservation, substitution and competition among fuel resource uses. Households spend on average 16% of their annual income on traditional fuels. Aggregation of fuels on heat equivalent basis and calculation of their contribution shows that on average firewood provides 63%, charcoal 20.7%, dung 10.4%, crop residues 3.4% and kerosene/diesel 2.5% of the total demand for domestic purposes. Estimated total household woodfuel demand exceeds woody biomass available from the local forests. This demand is presently satisfied by a net depletion of the local forests and purchases from other areas. Degradation of the resource base is further exacerbated by development of irrigation along the White Nile River, increasing livestock numbers (overgrazing) and forest clearance for rainfed cultivation. The most promising relevant and appropriate strategies to alleviate rural household domestic energy problems include: conservation of the existing forest, augmentation through village woodlots and community forestry programmes and improvements in end-use (stoves) and conversion (wood to charcoal) technologies.

    Abdu, A.S.E.

    1985-01-01T23:59:59.000Z

    247

    Traveling Between Iranian and American Identities  

    E-Print Network (OSTI)

    D aily life in Shiraz, Iran Traveling Between Iranian andpudding (samanu) symbolic of Iran’s 2000-year-old culturalwriters and my travels to Iran during the past summer. As an

    Pazargadi, Leila

    2007-01-01T23:59:59.000Z

    248

    Residential energy consumption and expenditure patterns of low-income households in the United States  

    SciTech Connect

    The principal objective of this study is to compare poor and non-poor households with respect to energy consumption and expenditures, housing characteristics, and energy-related behavior. We based our study on an analysis of a national data base created by the US Department of Energy, the 1982-1983 Residential Energy Consumption Survey (RECS). RECS includes detailed information on individual households: demographic characteristics, energy-related features of the structure, heating equipment and appliances, recent conservation actions taken by the household, and fuel consumption and costs for April 1982-March 1983. We found a number of statistically significant (at the 0.05 level) differences between the two income groups in terms of demographics, heating/cooling/water heating systems, appliance saturation, the thermal integrity of their home, energy conservation behavior, energy consumption, energy expenditures, and the percentage of income spent on energy costs. For example, the non-poor used 22% more energy and paid 25% more money on utilities than the poor; however, the poor spent 20% more energy per square foot than the non-poor and spent about 25% of their income on energy expenditures, compared to 7% for the non-poor. These differences suggest different approaches that might be taken for targeting energy conservation programs to low-income households. Since the poor's ''energy burden'' is large, informational, technical, and financial assistance to low-income households remains an urgent, national priority. 13 refs., 26 tabs.

    Vine, E.L.; Reyes, I.

    1987-09-01T23:59:59.000Z

    249

    Plasma Colloquium Travel Grant Program  

    SciTech Connect

    OAK B188 Plasma Colloquium Travel Grant Program. The purpose of the Travel Grant Program is to increase the awareness of plasma research. The new results and techniques of plasma research in fusion plasmas, plasma processing space plasmas, basic plasma science, etc, have broad applicability throughout science. The benefits of these results are limited by the relatively low awareness and appreciation of plasma research in the larger scientific community. Whereas spontaneous interactions between plasma scientists and other scientists are useful, a focused effort in education and outreach to other scientists is efficient and is needed. The academic scientific community is the initial focus of this effort, since that permits access to a broad cross-section of scientists and future scientists including undergraduates, graduate students, faculty, and research staff.

    Hazeltine, R.D.

    1998-09-14T23:59:59.000Z

    250

    Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle  

    NLE Websites -- All DOE Office Websites (Extended Search)

    2: October 3, 2: October 3, 2005 Household Vehicle Ownership to someone by E-mail Share Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Facebook Tweet about Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Twitter Bookmark Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Google Bookmark Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Delicious Rank Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Digg Find More places to share Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on AddThis.com... Fact #392: October 3, 2005 Household Vehicle Ownership Household vehicle ownership has changed significantly over the last 40

    251

    DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption  

    Gasoline and Diesel Fuel Update (EIA)

    sample custom-designed to meet the analytic objectives for surveys of residential energy use; sample as many as 5,500 households; provide 2-day personal training sessions...

    252

    Travel  

    Science Conference Proceedings (OSTI)

    ... Train - Amtrak runs to the Rockville and Union Station stops, from which you can get on the Metro and take the Red line to Shady Grove, from which ...

    2013-03-23T23:59:59.000Z

    253

    Analysis of Auto Travel Demand Elasticities.pub  

    NLE Websites -- All DOE Office Websites (Extended Search)

    vehicles. The elasticities with regard to income are similar for urban and rural households. However, fuel price elasticity is smaller for urban households, compared to the...

    254

    Residential Energy Consumption Survey (RECS) - Data - U.S. Energy  

    U.S. Energy Information Administration (EIA) Indexed Site

    2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables + EXPAND ALL Tables HC1: Housing Unit Characteristics, Million U.S. Households PDF (all tables) Climate Zone PDF Year of Construction PDF Household Income PDF Type of Owner-Occupied Housing Unit PDF Four Most Populated States PDF Urban/Rural Location PDF Northeast Census Region PDF Midwest Census Region PDF South Census Region PDF West Census Region PDF Tables HC2: Household Characteristics, Million U.S. Households PDF (all tables) Climate Zone PDF Year of Construction PDF Household Income PDF Type of Housing Unit PDF Type of Owner-Occupied Housing Unit PDF Type of Rented Housing Unit PDF

    255

    Model documentation: household model of energy  

    Science Conference Proceedings (OSTI)

    The Household Model of Energy is an econometric model, meaning that energy use is determined quantitatively with the use of economic variables such as fuel prices and income. HOME is also primarily a structural model, meaning that energy use is determined as the result of interactions of intermediate components such as the number of households, the end use fuel shares and the energy use per household. HOME forecasts energy consumption in all occupied residential structures (households) in the United States on an annual basis through 1990. The forecasts are made based upon a number of initial conditions in 1980, various estimated elasticities, various parameters and assumptions, and a set of forecasted fuel prices and income. In addition to the structural detail, HOME operates on a more disaggregated level. This includes four end-use services (space heating, water heating, air conditioning, and others), up to seven fuel/technology types (dependent upon the end use service), two housing types, four structure vintages, and four Census regions. When the model is run as a module in IFFS, a sharing scheme further disaggregates the model to 10 Federal regions.

    Holte, J.A.

    1984-02-01T23:59:59.000Z

    256

    Competition Helps Kids Learn About Energy and Save Their Households...  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Competition Helps Kids Learn About Energy and Save Their Households Some Money Competition Helps Kids Learn About Energy and Save Their Households Some Money May 21, 2013 - 2:40pm...

    257

    Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle  

    NLE Websites -- All DOE Office Websites (Extended Search)

    3: January 22, 3: January 22, 2007 Household Vehicle Ownership to someone by E-mail Share Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Facebook Tweet about Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Twitter Bookmark Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Google Bookmark Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Delicious Rank Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Digg Find More places to share Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on AddThis.com... Fact #453: January 22, 2007 Household Vehicle Ownership

    258

    Essays on household decision making in developing countries  

    E-Print Network (OSTI)

    This dissertation contains three essays on household decision making in the areas of education and health in developing countries. The first chapter explores intra-household decision making in the context of conditional ...

    Berry, James W. (James Wesley)

    2009-01-01T23:59:59.000Z

    259

    Development of the Household Sample for Furnace and Boiler Life...  

    NLE Websites -- All DOE Office Websites (Extended Search)

    households in the country. The data sample provides the household energy consumption and energy price inputs to the life-cycle cost analysis segment of the furnace and boiler...

    260

    Residential energy consumption survey: housing characteristics 1984  

    SciTech Connect

    Data collected in the 1984 Residential Energy Consumption Survey (RECS), the sixth national survey of households and their fuel suppliers, provides baseline information on how households use energy. Households living in all types of housing units - single-family homes (including townhouses), apartments, and mobile homes - were chosen to participate. Data from the surveys are available to the public. The housing characteristics this report describes include fuels and the uses they are put to in the home; appliances; square footage of floorspace; heating (and cooling) equipment; thermal characteristics of housing structures; conservation features and measures taken; the consumption of wood; temperatures indoors; and regional weather. These data are tabulated in sets, first showing counts of households and then showing percentages. Results showed: Fewer households are changing their main heating fuel. More households are air conditioned than before. Some 50% of air-conditioned homes now use central systems. The three appliances considered essential are the refrigerator, the range, and the television set. At least 98% of US homes have at least one television set; but automatic dishwashers are still not prevalent. Few households use the budget plans tht are available from their utility companies to ease the payment burden of seasonal surges in fuel bills. The most common type of heating equipment in the United States is the natural-gas forced-air furnace. About 40% ofthose furnaces are at least 15 years old. The oldest water heaters are those that use fuel oil. The most common conservation feature in 1984 is ceiling or attic insulation - 80% of homes report having this item. Relatively few households claimed tax credits in 1984 for energy-conservation improvements.

    Not Available

    1986-10-08T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    261

    Household energy and consumption and expenditures, 1990. Supplement, Regional  

    Science Conference Proceedings (OSTI)

    The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990.

    Not Available

    1993-03-02T23:59:59.000Z

    262

    Results of the 2008-09 Campus Travel Survey  

    E-Print Network (OSTI)

    on compressed natural gas (CNG) rather than diesel fuel forconsumed 235,300 gallons of CNG and 17,600 gallons of dieselper gallon of diesel and CNG, respectively, 10 then Unitrans

    Lovejoy, Kristin; Handy, Susan L; Contreras, Cliff

    2009-01-01T23:59:59.000Z

    263

    Is Interstellar Space Travel Possible?  

    E-Print Network (OSTI)

    It is shown that space travel, even in the most distant future, will remain confined to our own planetary system, and a similar conclusion will hold forth for any other civilization, no matter how advanced it might be, unless those extra-terrestrial species have life spans order of magnitude longer than ours. Even in such a case it is unlikely that they will travel much farther than their immediate stellar neighbourhood, as each such excursion will exhaust the resources of their home planet so much that those will dwindle rather fast and there might not be much left for the further scientific and technological advancements. So the science-fiction fancy of a "Galactic Empire" may ever remain in our fantasies only. And as for the mythical UFOs, whose quiet appearances do get reported in the press once in a while, recent explorations have shown no evidence that any such thing could have an origination within our own solar system itself. And a "quiet trip" back and forth from a distant star is almost impossible a...

    Singal, Tanmay

    2013-01-01T23:59:59.000Z

    264

    Structural Equation Modeling For Travel Behavior Research  

    E-Print Network (OSTI)

    variables. However, car usage was found to be complementaryconcerning reductions in car usage, and feelings related toPre-commitment and usage: Season tickets, cars and travel.

    Golob, Thomas F.

    2001-01-01T23:59:59.000Z

    265

    Structural Equation Modeling for Travel Behavior Research  

    E-Print Network (OSTI)

    variables. However, car usage was found to be complementaryconcerning reductions in car usage, and feelings related toPre-commitment and usage: Season tickets, cars and travel.

    Golob, Thomas F.

    2001-01-01T23:59:59.000Z

    266

    Structural Equation Modeling For Travel Behavior Research  

    E-Print Network (OSTI)

    variables. However, car usage was found to be complementaryconcerning reductions in car usage, and feelings related toPre-commitment and usage: Season tickets, cars and travel.

    Golob, Thomas F.

    2011-01-01T23:59:59.000Z

    267

    Travel Resources | National Nuclear Security Administration  

    National Nuclear Security Administration (NNSA)

    Travel Resources Home > About Us > Our Programs > Defense Programs > Future Science & Technology Programs > Office of Advanced Simulation and Computing Institutional Research...

    268

    2003 TMS Annual Meeting: Travel Information  

    Science Conference Proceedings (OSTI)

    This service accesses all major airlines and Amtrak. Public buses, trolleys, and coasters provide transportation throughout the city and county with travel to and ...

    269

    Mitigating Carbon Emissions: the Potential of Improving Efficiency of Household Appliances in China  

    E-Print Network (OSTI)

    Efficiency of Household Appliances in China Jiang Lin8 Appliance Market inEfficiency of Household Appliances in China Executive

    Lin, Jiang

    2006-01-01T23:59:59.000Z

    270

    Housing Diversity and Consolidation in Low-Income Colonias: Patterns of House Form and Household Arrangements in Colonias of the US-Mexico Border  

    E-Print Network (OSTI)

    Colonias are low-income settlements on the US-Mexico border characterized by poor infrastructure, minimum services, and an active housing construction with a high self-help and self-management component. Housing in colonias is very diverse showing house forms that include temporary and permanent structures, campers, trailers or manufactured houses and conventional homes. Most of this housing does not meet construction standards and codes and is considered substandard. Colonias households are also of diverse nature and composition including single households, nuclear and extended families, as well as multiple households sharing lots. This wide variety of house forms and households in colonias fits poorly within the nuclear household, single family detached housing idealized by conventional low-income housing projects, programs and policies. As a result, colonias marginally benefit from the resources available to them and continue to depend mostly on the individual efforts of their inhabitants. This research identifies the housing diversity and the process of housing consolidation in colonias of the US-Mexico border by looking at the patterns of house form and household arrangements in colonias of South Texas. Ten colonias located to the east of the city of Laredo along Highway 359 in Webb County, Texas were selected based on their characteristics, data availability and accessibility. Data collected included periodic aerial images of the colonias spanning a period of 28 years, household information from the 2000 census disaggregated at the block level for these colonias, and information from a field survey and a semi structured interview made to a random sample of 123 households between February and June 2007. The survey collected information about house form and household characteristics. The survey also incorporated descriptive accounts on how households completed their house from the initial structure built or set on the lot until the current house form. Data was compiled and analyzed using simple statistical methods looking for identifiable patterns on house form and household characteristics and changes over time. Findings showed that housing in colonias is built and consolidated following identifiable patterns of successive changes to the house form. Findings also showed that households in colonias share characteristics that change over time in similar ways. These results suggest similarities of colonias with extra-legal settlements in other developing areas. Based on these findings, the study reflects on possible considerations that could improve the impact of projects, programs and policies directed to support colonias and improve colonias housing.

    Reimers-Arias, Carlos Alberto

    2009-08-01T23:59:59.000Z

    271

    Non-Motorized Travel Study.pub  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Motorized Travel Study: Motorized Travel Study: Identifying Factors that Influence Communities to Walk and Bike and to Examine Why, or Why Not, Travelers Walk and Bike in Their Communities Oak Ridge National Laboratory managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract number DE-AC05-00OR22725 Research Areas Freight Flows Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies Research Brief T he idea of livable communities suggests that people should have the option to utilize non-motorized travel (NMT), specifically walking and bicycling, to conduct their daily tasks. Forecasting personal travel by walk and bike is necessary as part of regional transportation planning, and requires fine

    272

    Energy, the Environment and Behaviour Change: A survey of insights from behavioural economics  

    E-Print Network (OSTI)

    frameworks are imperfect, participation can establish credibility and good will (Gowdy 2008). Given that the North got rich by burning fossil fuels is it fair to tell the developing world to stop using them? Stiglitz (2006) argues that a fair solution could... upfront/sunk costs may constrain for households, particularly those facing fuel poverty. Brutscher (2011a) analyses liquidity constraints on households in Northern Ireland Continuous Household Survey (NICHS) and finds that, whilst there is a positive...

    Baddeley, Michelle

    273

    TRAVEL POLICY AND UMBC #VIII-11.00.01  

    E-Print Network (OSTI)

    be utilized whenever possible for airline, train or bus tickets as well as hotel accommodations and car Reimbursements Ticketing Hotel Reservations Meals Travel by Car Travel by Private Airplane Travel Advances

    Maryland, Baltimore County, University of

    274

    Household Markets for Neighborhood Electric Vehicles in California  

    E-Print Network (OSTI)

    electric vehicles designed for local, neighborhood travel How we are funded — Calstart: a consortium of private industry,

    Kurani, Kenneth S; Sperling, Daniel; Lipman, Timothy; Stanger, Deborah; Turrentine, Thomas; Stein, Aram

    1995-01-01T23:59:59.000Z

    275

    Professional Preface, 8 (2): Traveling to Seattle! - TMS  

    Science Conference Proceedings (OSTI)

    Traveling to Seattle! TMS and its technical divisions are proud to again offer the Student Travel Scholarship Program. Three technical divisions, Electronic, ...

    276

    Secretary Chu and Energy Department Officials to Travel Across...  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Travel Across America to Discuss the Obama Administration's Commitment to Energy Innovation and Manufacturing Secretary Chu and Energy Department Officials to Travel Across America...

    277

    Towards sustainable household energy use in the Netherlands, Int  

    E-Print Network (OSTI)

    Abstract: Households consume direct energy, using natural gas, heating oil, gasoline and electricity, and consume indirect energy, the energy related to the production of goods and the delivery of services for the households. Past trends and present-day household energy use (direct and indirect) are analysed and described. A comparison of these findings with objectives concerning ecological sustainability demonstrates that present-day household energy use is not sustainable. A scenario towards sustainable household energy use is designed containing far-reaching measures with regard to direct energy use. Scenario evaluation shows a substantial reduction of direct energy use; however, this is not enough to meet the sustainability objectiv es. Based on these results, the possibilities and the limitations are discussed to enable households to make their direct and indirect energy use sustainable on the long run.

    Jack Van Der Wal; Henri C. Moll

    2001-01-01T23:59:59.000Z

    278

    Pacific Northwest Residential Energy Consumption Survey : Sample Selection Activities.  

    Science Conference Proceedings (OSTI)

    The primary purpose of the 1983 Pacific Northwest Residential Energy Consumption Survey is to obtain a comprehensive data base regarding household energy usage patterns incorporating not only general behavioral indicators of usage (e.g., temperature at which the dwelling is maintained at different times of day during the months of the year in which heating systems are activated or conservation measures effected) but also those characteristics lying further beyond the realm of immediate influence of the household dwellers which directly effect energy consumption (e.g., housing and household characteristics including square footage, number of floors or levels, the number and characteristics of the appliances in the household and household demographics/composition). The data base to be assembled as part of this research effort is also to include households' actual level of energy use for two major fuels (i.e., electricity and natural gas) obtained, with the consent of respondents, from their servicing utility(ies). Two samples have been incorporated in the study. The primary sample - the Regional Sample - will generate a large and comprehensive data base from a representative cross-section of individual households in the Pacific Northwest. A second, Supplementary Sample was incorporated in the survey design to ensure that a sufficient number of households not participating in qualified loan or grant programs, but comparable to participant households on a number of key descriptive characteristics, were included in the assessment. Inclusion of such households in the assessment will permit a formal evaluation of the loan/grant programs to be accomplished. Sampling procedures are described thoroughly.

    Louis Harris and Associates

    1983-08-03T23:59:59.000Z

    279

    Barriers to household investment in residential energy conservation: preliminary assessment  

    Science Conference Proceedings (OSTI)

    A general assessment of the range of barriers which impede household investments in weatherization and other energy efficiency improvements for their homes is provided. The relationship of similar factors to households' interest in receiving a free energy audits examined. Rates of return that underly household investments in major conservation improvements are assessed. A special analysis of household knowledge of economically attractive investments is provided that compares high payback improvements specified by the energy audit with the list of needed or desirable conservation improvements identified by respondents. (LEW)

    Hoffman, W.L.

    1982-12-01T23:59:59.000Z

    280

    Household Responses to the Financial Crisis in Indonesia  

    E-Print Network (OSTI)

    on farm households in Indonesia and Thailand,” World Bank20. Cameron, Lisa. (1999). “Indonesia: a quarterly review,”The Real Costs of Indonesia's Economic Crisis: Preliminary

    Thomas, Duncan; Frankenberg, Elizabeth

    2005-01-01T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    281

    Essays on the effects of demographics on household consumption.  

    E-Print Network (OSTI)

    ??My dissertation analyses the relationship between households' consumption behavior and changes in family demographic characteristics. The first paper studies consumption over the period of the… (more)

    Stepanova, Ekaterina, 1977-

    2006-01-01T23:59:59.000Z

    282

    U.S. households are incorporating energy–efficient features ...  

    U.S. Energy Information Administration (EIA)

    ... area of increased efficiency: about 60% of households use at least some energy-efficient compact fluorescent (CFL) or light-emitting diode (LED) ...

    283

    Analysis of the energy requirement for household consumption.  

    E-Print Network (OSTI)

    ??Humans in households use energy for their activities. This use is both direct, for example electricity and natural gas, but also indirect, for the production,… (more)

    Vringer, Kees

    2005-01-01T23:59:59.000Z

    284

    Householder's Perceptions of Insulation Adequacy and Drafts in the ...  

    U.S. Energy Information Administration (EIA)

    The 2001 RECS was the first RECS to request household perceptions regarding the presence of winter drafts in the home. The data presented in this report ...

    285

    1997 Residential Energy Consumption and Expenditures per Household ...  

    U.S. Energy Information Administration (EIA)

    Return to: Residential Home Page . Changes in the 1997 RECS: Housing Unit Type Per Household Member Per Building Increase. Residential Energy Consumption ...

    286

    Residential Energy Consumption Survey (RECS) - Analysis & Projections -  

    Gasoline and Diesel Fuel Update (EIA)

    What's new in our home energy use? What's new in our home energy use? RECS 2009 - Release date: March 28, 2011 First results from EIA's 2009 Residential Energy Consumption Survey (RECS) The 2009 RECS collected home energy characteristics data from over 12,000 U.S. households. This report highlights findings from the survey, with details presented in the Household Energy Characteristics tables. How we use energy in our homes has changed substantially over the past three decades. Over this period U.S. homes on average have become larger, have fewer occupants, and are more energy-efficient. In 2005, energy use per household was 95 million British thermal units (Btu) of energy compared with 138 million Btu per household in 1978, a drop of 31 percent. Did You Know? Over 50 million U.S. homes have three or more televisions.

    287

    Appliance Commitment for Household Load Scheduling  

    Science Conference Proceedings (OSTI)

    This paper presents a novel appliance commitment algorithm that schedules thermostatically-controlled household loads based on price and consumption forecasts considering users comfort settings to meet an optimization objective such as minimum payment or maximum comfort. The formulation of an appliance commitment problem was described in the paper using an electrical water heater load as an example. The thermal dynamics of heating and coasting of the water heater load was modeled by physical models; random hot water consumption was modeled with statistical methods. The models were used to predict the appliance operation over the scheduling time horizon. User comfort was transformed to a set of linear constraints. Then, a novel linear, sequential, optimization process was used to solve the appliance commitment problem. The simulation results demonstrate that the algorithm is fast, robust, and flexible. The algorithm can be used in home/building energy-management systems to help household owners or building managers to automatically create optimal load operation schedules based on different cost and comfort settings and compare cost/benefits among schedules.

    Du, Pengwei; Lu, Ning

    2011-06-30T23:59:59.000Z

    288

    In-vessel composting of household wastes  

    Science Conference Proceedings (OSTI)

    The process of composting has been studied using five different types of reactors, each simulating a different condition for the formation of compost; one of which was designed as a dynamic complete-mix type household compost reactor. A lab-scale study was conducted first using the compost accelerators culture (Trichoderma viridae, Trichoderma harzianum, Trichorus spirallis, Aspergillus sp., Paecilomyces fusisporus, Chaetomium globosum) grown on jowar (Sorghum vulgare) grains as the inoculum mixed with cow-dung slurry, and then by using the mulch/compost formed in the respective reactors as the inoculum. The reactors were loaded with raw as well as cooked vegetable waste for a period of 4 weeks and then the mulch formed was allowed to maturate. The mulch was analysed at various stages for the compost and other environmental parameters. The compost from the designed aerobic reactor provides good humus to build up a poor physical soil and some basic plant nutrients. This proves to be an efficient, eco-friendly, cost-effective, and nuisance-free solution for the management of household solid wastes.

    Iyengar, Srinath R. [Civil and Environmental Engineering Department, V.J. Technological Institute, H.R. Mahajani Road, Matunga, Mumbai 400 019 (India)]. E-mail: srinathrangamani@yahoo.com; Bhave, Prashant P. [Civil and Environmental Engineering Department, V.J. Technological Institute, H.R. Mahajani Road, Matunga, Mumbai 400 019 (India)]. E-mail: drppbhave@vsnl.net

    2006-07-01T23:59:59.000Z

    289

    'Fun with Science' travels north to Alaska  

    NLE Websites -- All DOE Office Websites (Extended Search)

    312science 12132012 'Fun with Science' travels north to Alaska Linda A Lucchetti, LLNL, (925) 422-5815, lucchetti1@llnl.gov Printer-friendly Students in Noorvik, Alaska...

    290

    Travel Resources | National Nuclear Security Administration  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Travel Resources | National Nuclear Security Administration Travel Resources | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog The National Nuclear Security Administration Travel Resources Home > About Us > Our Programs > Defense Programs > Future Science & Technology Programs > Office of Advanced Simulation and Computing and Institutional R&D Programs > Russia Tri-Lab S&T Collaborations > Travel

    291

    TrojanTravel2014 Mystical Bhutan  

    E-Print Network (OSTI)

    SCierge Service .....24 Attention Crystal Cruisers ..............24 University Travel Disclaimer ............ 25 in russia's Far east and the Aleutian Islands. our other trips include an Amazon river cruise, a month

    Zhou, Chongwu

    292

    The domestic travel sector in China  

    E-Print Network (OSTI)

    China is already the largest domestic tourism market in the world. Chinese citizens made as many as 800 million overnight domestic trips in 2005. While travel is not a new concept in China, the disposable income they wield, ...

    Anders, Jeff, M.B.A. Massachusetts Institute of Technology

    2007-01-01T23:59:59.000Z

    293

    2002 TMS Annual Meeting & Exhibition: Travel Information  

    Science Conference Proceedings (OSTI)

    It is one of five stops along the electric bus tunnel that serves downtown Seattle. ... Washington State Convention & Trade Center (~1.11 Mb); Sheraton Seattle ... These special rates are applicable for travel from the continental United States.

    294

    Personal vehicles preferred by urban Americans: household automobile holdings and new car purchases projected to the year 2000  

    DOE Green Energy (OSTI)

    A procedure is described for modeling the choices made in urban American households among personal vehicles on the bases of cost, passenger capacity, and engine technology, and it projects those preferences to the year 1990 and 2000. The results of this disaggregate technique are used by the other predictive research tasks undertaken by Argonne National Laboratory in a project entitled Technology Assessment of Productive Conservation in Urban Transportation (TAPCUT). The vehicle preferences reported here furnish data for the overall TAPCUT objective of forecasting the probable effects of energy conservation policies in transportation. In our projections, vehicles with standard spark-ignition (Otto-cycle) engines continue to dominate automobile holdings and new car purchases in either of two socioeconomic scenarios under any of three settings (an existing policy set and two alternative conservation strategies). From 1990, small cars (seating four or fewer passengers) dominate urban holdings and sales in two of the three TAPCUT energy strategies - the exception being the strategy that emphasizes individual travel - and this holds true with only a minor variation for both socioeconomic scenarios (an optimistic one and a slightly pessimistic one). Advanced-technology vehicles are most successful under the Individual Travel Strategy. It appears that vehicle charateristics are far more significant than demographic descriptors in estimating household vehicle choice using this modeling approach.

    Saricks, C.L.; Vyas, A.D.; Bunch, J.A.

    1982-01-01T23:59:59.000Z

    295

    Household appliance choice: revision of REEPS behavioral models. Final report  

    Science Conference Proceedings (OSTI)

    This report describes the analysis of household decisions to install space heating, central cooling, and water heating in new housing as well as decisions to own freezers and second refrigerators. This analysis was conducted as part of the enhancements to the Residential End-Use Energy Planning System (REEPS) under EPRI project RP1918-1. The empirical models used in this analysis were the multinomial logit and its generalization the nested logit. The choice model parameters were estimated statistically on national and regional survey data. The results show that capital and operating costs are significant determinants of appliance market penetrations, and the relative magnitudes of the cost coefficients imply discount rates ranging from 3.4 to twenty-one percent. Several tests were conducted to examine the temporal and geographical stability of the key parameters. The estimated parameters have been incorporated into the REEPS computer code. The revised version of REEPS is now available on a limited release basis to EPRI member utilities for testing on their system.

    Goett, A.A.

    1984-02-01T23:59:59.000Z

    296

    An investigation of the information needs of air passengers traveling to the airport  

    E-Print Network (OSTI)

    According to the U.S. Department of Transportation, Bureau of Transportation Statistics, nearly 200 million person-trips over 100 miles one-way were taken by airplane in 1995, a 186 percent increase since 1977 (Bureau of Transportation Statistics, 1998). As the popularity of air travel continues to increase, the number of trips to and from the airport will inevitably rise also. Passengers will need accurate information about all modes on a total trip basis. This includes the modes of access to and from the airport in addition to the long distance segment of the trip (Sverdrup & Parcel Consultants, Inc., et al., 1996). The purpose of this study was to determine the specific information needs of departing air travelers with regard to the pre-trip and en-route phases of their trip to the airport. Based on the results of this research, effective plans for providing supplementary information in support of ground-side travel can be developed by local, state, and national agencies. To gain an understanding of air passenger information needs, personal interviews were conducted with 216 passengers at George Bush Intercontinental Airport in Houston, Texas. One major finding from this research was that in general, passengers are content with the existing types of real-time travel information that are available. Specifically, the survey results showed that passengers currently use and would prefer to have access to flight information including, confirmed schedules, flight delays, and gate assignments. It was also found that most passengers would prefer to receive travel information earlier in their trip (i.e., before beginning their trip). This could possibly be so that they have the information earlier in their decision-making process and thus would have adequate time to evaluate their options. Finally, based on the survey results, air passengers indicated they would prefer to use e-mail, pagers, telephones, and the Internet when making future travel information inquiries. In particular, business travelers were found to have a higher affinity toward e-mail and pagers, while younger travelers simply preferred newer technologies to receive travel information. As a result, these population categories are prime targets for marketing of information services. Overall, each of these findings was similar to and backed up the results from previous studies.

    Burdette, Debra Arlene

    2000-01-01T23:59:59.000Z

    297

    DOE O 551.1D, Official Foreign Travel  

    Directives, Delegations, and Requirements

    The order establishes requirements and responsibilities governing official foreign travel by Federal and contractor employees.

    2012-04-02T23:59:59.000Z

    298

    A REVIEW OF ASSUMPTIONS AND ANALYSIS IN EPRI EA-3409, "HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPS BEHAVIORAL MODELS"  

    E-Print Network (OSTI)

    EPRI EA-3409, "Household Appliance Choice: Revision of REEPSEA",3409: "HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPSreport EA-3409, "Household Appliance Choice: Revi- sion of

    Wood, D.J.

    2010-01-01T23:59:59.000Z

    299

    Model of home heating and calculation of rates of return to household energy conservation investment  

    Science Conference Proceedings (OSTI)

    This study attempts to find out if households' investments on energy conservation yield expected returns. It first builds a home-heating regression model, then uses the results of the model to calculate the rates of return for households' investments on the energy conservation. The home heating model includes housing characteristics, economic and demographic variables, appliance related variables, and regional dummy variables. Housing characteristic variables are modeled according to the specific physical relationship between the house and its heating requirement. Data from the Residential Energy Consumption Survey (RECS) of 1980-1981 is used for the empirical testing of the model. The model is estimated for single-detached family houses separately for three major home-heating fuel types: electricity, natural gas and fuel oil. Four scenarios are used to calculate rates of return for each household. The results show in the Northern areas the rates of return in most of the cases are a lot higher than market interest rates. In the Western and Southern areas, with few exceptions, the rates of return are lower than market interest rates. The variation of heating degree days and energy prices can affect the rates of return up to 20 percentage points.

    Hsueh, L.M.

    1984-01-01T23:59:59.000Z

    300

    Simulating household activities to lower consumption peaks: demonstration  

    Science Conference Proceedings (OSTI)

    Energy experts need fine-grained dynamics oriented tools to investigate household activities in order to improve power management in the residential sector. This paper presents the SMACH framework for modelling, simulating and analy- sis of household ... Keywords: agent-based modelling, energy, social simulation

    Edouard Amouroux, Francois Sempé, Thomas Huraux, Nicolas Sabouret, Yvon Haradji

    2013-05-01T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    301

    Elements of consumption: an abstract visualization of household consumption  

    Science Conference Proceedings (OSTI)

    To promote sustainability consumers must be informed about their consumption behaviours. Ambient displays can be used as an eco-feedback technology to convey household consumption information. Elements of Consumption (EoC) demonstrates this by visualizing ... Keywords: a-life, eco-feedback, household consumption, sustainability

    Stephen Makonin; Philippe Pasquier; Lyn Bartram

    2011-07-01T23:59:59.000Z

    302

    Identify Strategies to Reduce Business Travel for Greenhouse Gas Mitigation  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Strategies to Reduce Business Travel for Greenhouse Gas Strategies to Reduce Business Travel for Greenhouse Gas Mitigation Identify Strategies to Reduce Business Travel for Greenhouse Gas Mitigation October 7, 2013 - 1:34pm Addthis YOU ARE HERE The tables below illustrate some of the more common strategies that can enable employees to travel less and travel more efficiently for business. The "Purpose of Travel" analysis in the previous step can be used with the guidance below to help determine what type of trips may be most appropriately substituted with each business travel alternative. Table 1. Strategies that Enable Employees to Travel Less Business Travel Strategy Best Potential Application Best Practices Web meetings/webinars, including option for video Purpose of travel: training, conferences.

    303

    Alternative Fuels Data Center: State Employee Travel Policy  

    Alternative Fuels and Advanced Vehicles Data Center (EERE)

    State Employee Travel State Employee Travel Policy to someone by E-mail Share Alternative Fuels Data Center: State Employee Travel Policy on Facebook Tweet about Alternative Fuels Data Center: State Employee Travel Policy on Twitter Bookmark Alternative Fuels Data Center: State Employee Travel Policy on Google Bookmark Alternative Fuels Data Center: State Employee Travel Policy on Delicious Rank Alternative Fuels Data Center: State Employee Travel Policy on Digg Find More places to share Alternative Fuels Data Center: State Employee Travel Policy on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type State Employee Travel Policy All state agencies and institutions must develop and adopt travel policies that include strategies to reduce petroleum consumption, such as carpooling

    304

    Characteristics of Travellers from Bosnia and Herzegovina to Africa  

    E-Print Network (OSTI)

    Introduction: Travellers from Bosnia and Herzegovina (B&H) travel to different world countries. The awareness of people is changing every day and nowadays travellers seek advices related to their travel and destination more often than before. In the previous years, travellers came to Travel Clinics almost only to get the vaccines which were obligatory for entry into a country. In B&H travel clinics are a part of public health institutes. The largest Travel Clinic which provides service for the highest number of travellers is in the Public Health Institute of Sarajevo Canton, in the city of Sarajevo, which is the capital of B&H. In the last years we have seen an increasing interest for travel to Africa because the highest number of

    unknown authors

    2013-01-01T23:59:59.000Z

    305

    Residential Energy Consumption Survey: housing characteristics, 1982  

    Science Conference Proceedings (OSTI)

    Data in this report cover fuels and their use in the home, appliances, square footage of floor space, heating equipment, thermal characteristics of the housing unit, conservation activities, wood consumption, indoor temperatures, and weather. The 1982 survey included a number of questions on the reasons households make energy conservation improvements to their homes. Results of these questions are presented. Discussion also highlights data pertaining to: trends in home heating fuels, trends in conservation improvements, and characteristics of households whose energy costs are included in their rent.

    Thompson, W.

    1984-08-01T23:59:59.000Z

    306

    The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households  

    E-Print Network (OSTI)

    Gromer, C Newage of the electric car. Popular Mechanics.VEHICLES strongly favor electric cars, but on the other,electric vehicles, if an electric car wasavailable to buy

    Turrentine, Thomas; Kurani, Kenneth S.

    2001-01-01T23:59:59.000Z

    307

    The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

    E-Print Network (OSTI)

    Gromer, C. New age of the electric car. Popular Mechanics.VEHICLES strongly favor electric cars, but on the other,electric vehicles, if an electric car was available to buy

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01T23:59:59.000Z

    308

    The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

    E-Print Network (OSTI)

    of electric vehicles the safety of compressed gas vehicleselectric vehicles the practicality of home recharging or the safety

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01T23:59:59.000Z

    309

    The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households  

    E-Print Network (OSTI)

    and the demand electric vehicles", Transportation ResearchA,Critical Review Electric Vehicle MarketStudies", ReleasableR. (1993) Report of the Electric Vehicle at-HomeRefi~ehng

    Turrentine, Thomas; Kurani, Kenneth S.

    2001-01-01T23:59:59.000Z

    310

    The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

    E-Print Network (OSTI)

    a sidebar to a longer article on electric vehicles. ) Cogan,R. Electric vehicles: Powerplay on the auto circuit. MotorA Critical Review of Electric Vehicle Market Studies",

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01T23:59:59.000Z

    311

    The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

    E-Print Network (OSTI)

    even after purchase incentives for natural gas and electricnatural gas, and gasoline vehicles. The use of purchase incentives

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01T23:59:59.000Z

    312

    The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households  

    E-Print Network (OSTI)

    by electric and hybrid vehicles", SAETechmcal Papers No.may response to hybrid vehicles Finally, we suggest thatsamebetweenvehicle tyoes. Hybrid Vehicles for examplecost a

    Turrentine, Thomas; Kurani, Kenneth S.

    2001-01-01T23:59:59.000Z

    313

    The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

    E-Print Network (OSTI)

    size styles) 5. Compressed natural gas, ranges 80 or 120,Hybrid electric: Compressed natural gas: Reformulatedof electric, compressed natural gas and methanol fueled

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01T23:59:59.000Z

    314

    The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households  

    E-Print Network (OSTI)

    B. C. D. E. F. Compressed natural gas Reformulated gasolineelectric ~]1 compressed natural gas [~1 reformulatedgasolinefull size styles) Compressed natural gas, ranges 80 or 120,

    Turrentine, Thomas; Kurani, Kenneth S.

    2001-01-01T23:59:59.000Z

    315

    The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

    E-Print Network (OSTI)

    gas vehicles and hybrid electric vehicles, in addition toof range, and hybrid electric vehicles with 140 and 180possible designs of hybrid electric vehicles pose complex

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01T23:59:59.000Z

    316

    The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households  

    E-Print Network (OSTI)

    gas vebacles and hybrid electric vehicles, maddition tocontrast to a hybrid electric vehicle that combines electrichousehold.In contrast to a hybrid electric vehicle that of

    Turrentine, Thomas; Kurani, Kenneth S.

    2001-01-01T23:59:59.000Z

    317

    Table CE2-3e. Space-Heating Energy Expenditures in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Table CE2-3e. Space-Heating Energy Expenditures in U.S. Households by Household Income, 2001 RSE Column Factor: Total 2001 Household Income Below Poverty

    318

    About Carlson Wagonlit Travel (CWT) CWT is a global leader specialized in managing business travel and  

    E-Print Network (OSTI)

    AT&T network for consistent, high-quality voice and data communication. Home-based travel counselors&T remote access service connects home-based travel counselors to the CWT global network · Business Value Reliable connections enable cost-effective, customer- pleasing home-based work while handling traffic

    Greenberg, Albert

    319

    Transportation Secure Data Center (TSDC) (Poster)  

    DOE Green Energy (OSTI)

    This poster on the Transportation Secure Data Center (TSDC) was presented at the Household Travel Survey Symposium on November 7, 2012.

    Gonder, J.; Burton, E.; Wood, E.

    2012-12-01T23:59:59.000Z

    320

    Household attitudes toward energy conservation in the Pacific Northwest: overview and comparisons  

    SciTech Connect

    This report presents an overview of a baseline residential energy conservation study for the Pacific Northwest conducted in November 1983 by RMH Research, Inc. It also compares the study results with available data from other surveys. The primary focus of the RMH study is conservation marketing. As such it assesses the attitudes, perceptions, and past conservation actions of the region's residents and provides market segmentation based upon past conservation actions and the propensity to invest in conservation in the future. Excluding renters, who account for about 24% of the region's households, three prospect groups for marketing conservation investments are identified: First Tier Prospects who are very likely to invest in additional conservation measures requiring larger sums of money (estimated at about 547,000 households, or 18 percent of the region's households); Second Tier Prospects who are somewhat likely to invest in full weatherization (estimated at about 22% of the region's households or 695,700); and Non-Prospects who are unlikely to invest in energy conservation in the near future (estimated to be 1,113,400 or 36% of the regional total). A summary comparison of the most important distinguishing attributes of the three prospect groups is presented. Considering the current surplus status of the region's electricity supply situation and the overall strategy in capability building, implications include (1) using public information programs through utilities and the news media to maintain the conservation interests of the first-tier prospects and (2) exploring ways to move the second-tier prospects into the first tier and to reach the so-called non-prospect and rental housing groups.

    Fang, J.M.

    1985-06-01T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    321

    Residential Energy Consumption Survey Results: Total Energy Consumption,  

    Open Energy Info (EERE)

    Survey Results: Total Energy Consumption, Survey Results: Total Energy Consumption, Expenditures, and Intensities (2005) Dataset Summary Description The Residential Energy Consumption Survey (RECS) is a national survey that collects residential energy-related data. The 2005 survey collected data from 4,381 households in housing units statistically selected to represent the 111.1 million housing units in the U.S. Data were obtained from residential energy suppliers for each unit in the sample to produce the Consumption & Expenditures data. The Consumption & Expenditures and Intensities data is divided into two parts: Part 1 provides energy consumption and expenditures by census region, population density, climate zone, type of housing unit, year of construction and ownership status; Part 2 provides the same data according to household size, income category, race and age. The next update to the RECS survey (2009 data) will be available in 2011.

    322

    Table AC1. Total Households Using Air-Conditioning Equipment, 2005 ...  

    U.S. Energy Information Administration (EIA)

    Table AC1. Total Households Using Air-Conditioning Equipment, 2005 Million U.S. Households Type of Air-Conditioning Equipment (millions) Central System

    323

    Table SH1. Total Households Using a Space Heating Fuel, 2005 ...  

    U.S. Energy Information Administration (EIA)

    Total Households Using a Space Heating Fuel, 2005 Million U.S. Households Using a Non-Major Fuel 5 ... Space Heating (millions) Energy Information Administration

    324

    Table CE2-3c. Space-Heating Energy Consumption in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Physical Units (PU) per Household4,a Physical Units of Space-Heating Consumption per Household,3 Where the Main Space-Heating Fuel Is:

    325

    Table CE2-7c. Space-Heating Energy Consumption in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Physical Units (PU) per Household3,a Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

    326

    Table CE2-12c. Space-Heating Energy Consumption in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Physical Units (PU) per Household3,a Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

    327

    Table CE2-4c. Space-Heating Energy Consumption in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Physical Units (PU) per Household3,a Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

    328

    Table CE2-7c. Space-Heating Energy Consumption in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Physical Units (PU) per Household3 Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

    329

    Material World: Forecasting Household Appliance Ownership in a Growing Global Economy  

    E-Print Network (OSTI)

    of Household Income and Appliance Ownership. ECEEE Summerof decreasing prices of appliances, if price data becomesForecasting Household Appliance Ownership in a Growing

    Letschert, Virginie

    2010-01-01T23:59:59.000Z

    330

    Enabling time travel for the scholarly web  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Enabling time travel for the scholarly web Enabling time travel for the scholarly web Enabling time travel for the scholarly web An international team of information scientists has begun a study to investigate how web links in scientific and other academic articles fail to lead to the resources being referenced. July 16, 2013 Herbert Van de Sompel, a Los Alamos National Laboratory information scientist, describes the information pathway involved in preventing "reference rot" in scientific material linked to the web. Herbert Van de Sompel, a Los Alamos National Laboratory information scientist, describes the information pathway involved in preventing "reference rot" in scientific material linked to the web. Contact Nancy Ambrosiano Communications Office (505) 667-0471 Email "Increasingly, scientific papers contain links to web pages containing,

    331

    Travelling waves in hybrid chemotaxis models  

    E-Print Network (OSTI)

    Hybrid models of chemotaxis combine agent-based models of cells with partial differential equation models of extracellular chemical signals. In this paper, travelling wave properties of hybrid models of bacterial chemotaxis are investigated. Bacteria are modelled using an agent-based (individual-based) approach with internal dynamics describing signal transduction. In addition to the chemotactic behaviour of the bacteria, the individual-based model also includes cell proliferation and death. Cells consume the extracellular nutrient field (chemoattractant) which is modelled using a partial differential equation. Mesoscopic and macroscopic equations representing the behaviour of the hybrid model are derived and the existence of travelling wave solutions for these models is established. It is shown that cell proliferation is necessary for the existence of non-transient (stationary) travelling waves in hybrid models. Additionally, a numerical comparison between the wave speeds of the continuum models and the hybr...

    Franz, Benjamin; Painter, Kevin J; Erban, Radek

    2013-01-01T23:59:59.000Z

    332

    Nano Portfolio student travel award guidelines 1. Travel grants will be made up to $1,000 for conference travel, including  

    E-Print Network (OSTI)

    Nano Portfolio student travel award guidelines 1. Travel grants will be made up to $1 for either a poster or oral presentation at the conference. 6. The research to be presented must be nano will not be considered. 10.Travel awards will be decided by a committee of CNM-affiliated faculty. #12;Nano Portfolio

    Ben-Yakar, Adela

    333

    Nano Portfolio student travel award guidelines 1. Travel grants will be made up to $1,000 for conference travel, including  

    E-Print Network (OSTI)

    Nano Portfolio student travel award guidelines 1. Travel grants will be made up to $1. The research to be presented must be nano-related. 7. The award cannot be used to subsidize conference travel: ____________________________ Department: ___________________ Years in graduate school: __________________ Years in Nano Doctoral Por

    Ben-Yakar, Adela

    334

    Projecting household energy consumption within a conditional demand framework  

    SciTech Connect

    Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

    Teotia, A.; Poyer, D.

    1991-01-01T23:59:59.000Z

    335

    Projecting household energy consumption within a conditional demand framework  

    Science Conference Proceedings (OSTI)

    Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

    Teotia, A.; Poyer, D.

    1991-12-31T23:59:59.000Z

    336

    Road less traveled vital to operational success  

    Science Conference Proceedings (OSTI)

    PNNL's Monthly Economic Diversity column for the Tri-City Herald Business section. Excerpt follows: Things aren't always what they seem. Sometimes the path less traveled--although it can be exhausting if not scary to think about navigating its unknowns--really is the best way to go. And not just because Robert Frost said so. Patric Sazama, Regional Project Director for Impact Washington, would agree as well. He recently spoke to the Three Rivers Entrepreneur Network about achieving operational success by addressing the less tangible elements of an organization, the company's own less traveled path.

    Madison, Alison L.

    2012-01-08T23:59:59.000Z

    337

    The Impact of Carbon Control on Low-Income Household Electricity and Gasoline Expenditures  

    SciTech Connect

    In July of 2007 The Department of Energy's (DOE's) Energy Information Administration (EIA) released its impact analysis of 'The Climate Stewardship And Innovation Act of 2007,' known as S.280. This legislation, cosponsored by Senators Joseph Lieberman and John McCain, was designed to significantly cut U.S. greenhouse gas emissions over time through a 'cap-and-trade' system, briefly described below, that would gradually but extensively reduce such emissions over many decades. S.280 is one of several proposals that have emerged in recent years to come to grips with the nation's role in causing human-induced global climate change. EIA produced an analysis of this proposal using the National Energy Modeling System (NEMS) to generate price projections for electricity and gasoline under the proposed cap-and-trade system. Oak Ridge National Laboratory integrated those price projections into a data base derived from the EIA Residential Energy Consumption Survey (RECS) for 2001 and the EIA public use files from the National Household Transportation Survey (NHTS) for 2001 to develop a preliminary assessment of impact of these types of policies on low-income consumers. ORNL will analyze the impacts of other specific proposals as EIA makes its projections for them available. The EIA price projections for electricity and gasoline under the S.280 climate change proposal, integrated with RECS and NHTS for 2001, help identify the potential effects on household electric bills and gasoline expenditures, which represent S.280's two largest direct impacts on low-income household budgets in the proposed legislation. The analysis may prove useful in understanding the needs and remedies for the distributive impacts of such policies and how these may vary based on patterns of location, housing and vehicle stock, and energy usage.

    Eisenberg, Joel Fred [ORNL

    2008-06-01T23:59:59.000Z

    338

    The Impact of Carbon Control on Low-Income Household Electricity and Gasoline Expenditures  

    SciTech Connect

    In July of 2007 The Department of Energy's (DOE's) Energy Information Administration (EIA) released its impact analysis of 'The Climate Stewardship And Innovation Act of 2007,' known as S.280. This legislation, cosponsored by Senators Joseph Lieberman and John McCain, was designed to significantly cut U.S. greenhouse gas emissions over time through a 'cap-and-trade' system, briefly described below, that would gradually but extensively reduce such emissions over many decades. S.280 is one of several proposals that have emerged in recent years to come to grips with the nation's role in causing human-induced global climate change. EIA produced an analysis of this proposal using the National Energy Modeling System (NEMS) to generate price projections for electricity and gasoline under the proposed cap-and-trade system. Oak Ridge National Laboratory integrated those price projections into a data base derived from the EIA Residential Energy Consumption Survey (RECS) for 2001 and the EIA public use files from the National Household Transportation Survey (NHTS) for 2001 to develop a preliminary assessment of impact of these types of policies on low-income consumers. ORNL will analyze the impacts of other specific proposals as EIA makes its projections for them available. The EIA price projections for electricity and gasoline under the S.280 climate change proposal, integrated with RECS and NHTS for 2001, help identify the potential effects on household electric bills and gasoline expenditures, which represent S.280's two largest direct impacts on low-income household budgets in the proposed legislation. The analysis may prove useful in understanding the needs and remedies for the distributive impacts of such policies and how these may vary based on patterns of location, housing and vehicle stock, and energy usage.

    Eisenberg, Joel Fred [ORNL

    2008-06-01T23:59:59.000Z

    339

    Greenhouse Gas Mitigation Planning for Business Travel | Department of  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Business Travel Business Travel Greenhouse Gas Mitigation Planning for Business Travel October 7, 2013 - 1:20pm Addthis Business travel is among the largest sources of Scope 3 greenhouse gas (GHG) emissions accounted for by Federal agencies. For some agencies, business travel can represent up to 60% of Scope 3 emissions, but represents about 20% of Scope 3 emissions for the Federal sector as whole. While other emissions categories have been the focus of efficiency improvements for several years, few agencies have been actively planning to manage business travel for GHG reduction purposes. Travel management due to budgetary constraints has typically been more common for Federal agencies in the past. Because air travel emissions are the biggest source of travel emissions for most agencies, this guidance focuses on planning for

    340

    Household energy conservation attitudes and behaviors in the Northwest: Tracking changes between 1983 and 1985  

    SciTech Connect

    Pacific Northwest Laboratory (PNL) has analyzed the changes in consumer energy conservation attitudes and behaviors in the Pacific Northwest between 1983 and 1985. The information was collected through stratified random telephone surveys on 2000 and 1058 households, respectively, for 1983 and 1985 in the Bonneville Power Administration (BPA) service area in Idaho, Oregon, Washington and Western Montana. This report covers four topic areas and tests two hypotheses. The topics are as follows: consumer perceptions and attitudes of energy use and conservation in the home; consumer perceptions of energy institutions and other entities; past and intended conservation actions and investments; and segmentation of homeowners into market prospect groups. The hypotheses tested are as follows: (1) There has been no change in the size and psychographic make-up of the original three market segments found in the 1983 survey analysis; and (2) image profiles of institutions with respect to familiarity, overall impression, and believability as sources of energy conservation information remain unchanged since 1983.

    Fang, J.M.; Hattrup, M.P.; Nordi, R.T.; Shankle, S.A.; Ivey, D.L.

    1987-05-01T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    341

    Residential energy consumption of low-income and elderly households: how non-discretionary is it  

    SciTech Connect

    The energy literature is replete with opinions that the poor and elderly have cut their residential energy consumption to a minimum. This paper challenges such conclusions through an analysis of data on a sample of 319 Decatur, Illinois homeowners. The data include utility bill histories and survey information on housing characteristics, energy-related behaviors, attitudes, and socio-economic and demographic characteristics. It shows that residential energy consumption per square foot of living space is significantly higher for the elderly and poor than for other groups of Decatur homeowners. By breaking energy use into seasonal components, the paper estimates consumption for various household uses. This information, combined with the survey data, suggests that both subgroups heat and cool their homes inefficiently, due in part to the conditions of their homes, but also due to energy-related behaviors. The public policy implications of the findings are discussed.

    Brown, M.A.; Rollinson, P.A.

    1984-01-01T23:59:59.000Z

    342

    Household Vehicles Energy Consumption 1994 - Appendix C  

    U.S. Energy Information Administration (EIA) Indexed Site

    Introduction This appendix discusses several issues relating to the quality of the Residential Transportation Energy Consumption Survey (RTECS) data and to the interpretation of conclusions based on these data. The first section discusses undercoverage of the vehicle stock in the residential sector. The second section discusses the effects of using July 1994 as a time reference for the survey. The remainder of this appendix discusses the treatment of sampling and nonsampling errors in the RTECS, the quality of specific data items such as the Vehicle Identification Number (VIN) and fuel prices, and poststratification procedures used in the 1994 RTECS. The quality of the data collection and the processing of the data affects the accuracy of estimates based on survey data. All the statistics

    343

    Measurement of nicotine in household dust  

    Science Conference Proceedings (OSTI)

    An analytical method of measuring nicotine in house dust was optimized and associations among three secondhand smoking exposure markers were evaluated, i.e., nicotine concentrations of both house dust and indoor air, and the self-reported number of cigarettes smoked daily in a household. We obtained seven house dust samples from self-reported nonsmoking homes and 30 samples from smoking homes along with the information on indoor air nicotine concentrations and the number of cigarettes smoked daily from an asthma cohort study conducted by the Johns Hopkins Center for Childhood Asthma in the Urban Environment. House dust nicotine was analyzed by isotope dilution gas chromatography-mass spectrometry (GC/MS). Using our optimized method, the median concentration of nicotine in the dust of self-reported nonsmoking homes was 11.7 ng/mg while that of smoking homes was 43.4 ng/mg. We found a substantially positive association (r=0.67, P<0.0001) between house dust nicotine concentrations and the numbers of cigarettes smoked daily. Optimized analytical methods showed a feasibility to detect nicotine in house dust. Our results indicated that the measurement of nicotine in house dust can be used potentially as a marker of longer term SHS exposure.

    Kim, Sungroul [Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Institute for Global Tobacco Control, 627 N. Washington Street, 2nd Floor Baltimore, MD 21205 (United States); Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States)], E-mail: srkim@jhsph.edu; Aung, Ther; Berkeley, Emily [Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States); Diette, Gregory B. [Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States); Department of Medicine, Johns Hopkins University School of Medicine (United States); Breysse, Patrick N. [Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States)

    2008-11-15T23:59:59.000Z

    344

    Transmission line protection based on travelling waves  

    Science Conference Proceedings (OSTI)

    Major problem of tripping signal of a relay based on steady state component does not warranty faster tripping schemes for protection of extra high voltage transmission lines. Proposed work has made an attempt to find solution to the problem of fault ... Keywords: postfault voltage, relaying signals, surge impedence, transmission line protection, travelling waves

    Anuradha S. Deshpande; Grishma S. Shah

    2011-12-01T23:59:59.000Z

    345

    Using Multiple Household Food Inventories to Measure Food Availability in the Home  

    E-Print Network (OSTI)

    The purpose of this study was to determine the feasibility of conducting multiple household food inventories over the course of 30 days to examine weekly food variability. Household food availability influences the foods individuals choose to consume; therefore, by assessing the home food environment a better understanding of what people are eating can be obtained. Methods of measuring home food availability have been developed and tested in recent years; however most of these methods assess food availability on one occasion only. This study aimed to capture "usual" availability by using multiple assessments. After the development and pre-testing of the 171-item home observation guide to determine the presence and amount of food items in the home (refrigerator, freezer, pantry, elsewhere), two trained researchers recruited a convenience sample of 9 households (44.4% minority), administered a baseline questionnaire (personal info, shopping habits, food resources, and food security), and conducted 5 in-home assessments (5-7 day interval) over a 30-day period. Each in-home assessment included shopping and fast food activities since the last assessment and an observational survey of types and amounts of foods present. The final in-home assessment included an audio recorded interview on food habits and beliefs. Complete data were collected from all 9 women (32.8 y +/- 6.0; 3 married; 4 +/- 1.6 adults/children in household; 4 SNAP; 6 food insecure) and their households. Weekly grocery purchases (place, amount, and purpose) use (frequency) varied from once (n=1) to every week (n=5); 4 used fast food 2-3 times/wk for 4 weeks. Quantity and types of fresh and processed fruits and vegetables varied by week and by family. The feasibility of conducting multiple in-home assessments was confirmed with 100% retention from all participants. This methodology is important in that it provided detailed information on intra-monthly variation in food availability. The findings suggest the inadequacy of a single measure to assess food availability in the home.

    Sisk, Cheree L.

    2009-08-01T23:59:59.000Z

    346

    Appliance Standby Power and Energy Consumption in South African Households  

    Open Energy Info (EERE)

    Appliance Standby Power and Energy Consumption in South African Households Appliance Standby Power and Energy Consumption in South African Households Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Appliance Standby Power and Energy Consumption in South African Households Focus Area: Appliances & Equipment Topics: Policy Impacts Website: active.cput.ac.za/energy/web/DUE/DOCS/422/Paper%20-%20Shuma-Iwisi%20M. Equivalent URI: cleanenergysolutions.org/content/appliance-standby-power-and-energy-co Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance A modified engineering model is proposed to estimate standby power and energy losses in households. The modified model accounts for the randomness of standby power and energy losses due to unpredicted user appliance operational behavior.

    347

    Profiling energy use in households and office spaces  

    Science Conference Proceedings (OSTI)

    Energy consumption is largely studied in the context of different environments, such as domestic, corporate, industrial, and public sectors. In this paper, we discuss two environments, households and office spaces, where people have an especially ...

    Salman Taherian; Marcelo Pias; George Coulouris; Jon Crowcroft

    2010-04-01T23:59:59.000Z

    348

    Household Preferences for Supporting Renewable Energy, and Barriers...  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Household Preferences for Supporting Renewable Energy, and Barriers to Green Power Demand Speaker(s): Ryan Wiser Date: May 9, 2002 - 12:00pm Location: Bldg. 90 Nearly 40% of the...

    349

    Smoothing consumption across households and time : essays in development economics  

    E-Print Network (OSTI)

    This thesis studies two strategies that households may use to keep their consumption smooth in the face of fluctuations in income and expenses: credit (borrowing and savings) and insurance (state contingent transfers between ...

    Kinnan, Cynthia Georgia

    2010-01-01T23:59:59.000Z

    350

    A Theoretical Basis for Household Energy Conservation UsingProduct...  

    NLE Websites -- All DOE Office Websites (Extended Search)

    A Theoretical Basis for Household Energy Conservation Using Product-Integrated Feedback Speaker(s): Teddy McCalley Date: October 11, 2002 - 12:00pm Location: Bldg. 90 Seminar Host...

    351

    Forecasting 65+ travel : an integration of cohort analysis and travel demand modeling  

    E-Print Network (OSTI)

    Over the next 30 years, the Boomers will double the 65+ population in the United States and comprise a new generation of older Americans. This study forecasts the aging Boomers' travel. Previous efforts to forecast 65+ ...

    Bush, Sarah, 1973-

    2003-01-01T23:59:59.000Z

    352

    A Review and Discussion of the Literature on Travel Time and Money Expenditures  

    E-Print Network (OSTI)

    Expenditure of Time and Money on Travel. Transport RoadExpenditure of Time and Money on Travel. Transp. Research6 I.2.4.2. Travel Money Expenditure …………………………………………………………..

    Chen, Cynthia; Mokhtarian, Patricia

    2008-01-01T23:59:59.000Z

    353

    Exact solutions to combinatorial optimizations and the traveling baseball fan problem.  

    E-Print Network (OSTI)

    ?? The traveling baseball fan problem is an extension of the classic traveling salesman problem, in which a sports fan wishes to travel to the… (more)

    Terrell, Neal D.

    2013-01-01T23:59:59.000Z

    354

    Implementing Innovation in Planning Practice: The Case of Travel Demand Forecasting  

    E-Print Network (OSTI)

    Urban Travel Demand Forecasting Project. Institute ofTRB. Metropolitan Travel Forecasting: Current Practice andPurvis. Regional Travel Forecasting Model System for the San

    Newmark, Gregory Louis

    2011-01-01T23:59:59.000Z

    355

    Characterizing Household Plug Loads through Self-Administered Load Research  

    Science Conference Proceedings (OSTI)

    Household miscellaneous loads, which include consumer electronics, are the fastest growing segment of household energy use in the United States. Although the relative energy intensity of applications such as heating and cooling is declining, the DOEAnnual Energy Outlook forecasts that the intensity of residential miscellaneous end uses will increase substantially by 2030. Studies by TIAX and Ecos Consulting reveal that miscellaneous devices8212smaller devices in terms of energy draw but growing in usage8...

    2009-12-09T23:59:59.000Z

    356

    Supplemental Guidance Regarding Compensatory Time Off for Travel |  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Supplemental Guidance Regarding Compensatory Time Off for Travel Supplemental Guidance Regarding Compensatory Time Off for Travel Supplemental Guidance Regarding Compensatory Time Off for Travel Questions and answers on issues that supplement the final regulations on compensatory time for travel issued by the Office of Personnel Management. In addition, a sample worksheet is attached to assist travelers in determining and documenting their travel time that may be credited for compensatory time for travel. This information will be incorporated in Appendix D of the DOE Handbook on Overtime when the handbook is updated. Supplemental Guidance Regarding Compensatory Time Off for Travel Responsible Contacts Bruce Murray HR Policy Advisor E-mail bruce.murray@hq.doe.gov Phone 202-586-3372 More Documents & Publications DOE Handbook on Overtime

    357

    Quantum mechanics of time travel through post-selected teleportation  

    E-Print Network (OSTI)

    This paper discusses the quantum mechanics of closed-timelike curves (CTCs) and of other potential methods for time travel. We analyze a specific proposal for such quantum time travel, the quantum description of CTCs based ...

    Maccone, Lorenzo

    358

    Encoding network-constrained travel trajectories using routing algorithms  

    Science Conference Proceedings (OSTI)

    This study proposes a generic encoder for network-constrained travel trajectories, and it implements two encoders by combining the proposed generic encoder with two routing algorithms, which reduce the size of a travel trajectory's path along ...

    Pablo Martinez Lerin; Daisuke Yamamoto; Naohisa Takahashi

    2013-03-01T23:59:59.000Z

    359

    Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility  

    Alternative Fuels and Advanced Vehicles Data Center (EERE)

    Vehicle Miles Traveled Vehicle Miles Traveled Tax Feasibility Evaluation to someone by E-mail Share Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Facebook Tweet about Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Twitter Bookmark Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Google Bookmark Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Delicious Rank Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Digg Find More places to share Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type

    360

    Commercial viability of hybrid vehicles : best household use and cross national considerations.  

    DOE Green Energy (OSTI)

    Japanese automakers have introduced hybrid passenger cars in Japan and will soon do so in the US. In this paper, we report how we used early computer simulation model results to compare the commercial viability of a hypothetical near-term (next decade) hybrid mid-size passenger car configuration under varying fuel price and driving patterns. The fuel prices and driving patterns evaluated are designed to span likely values for major OECD nations. Two types of models are used. One allows the ''design'' of a hybrid to a specified set of performance requirements and the prediction of fuel economy under a number of possible driving patterns (called driving cycles). Another provides an estimate of the incremental cost of the hybrid in comparison to a comparably performing conventional vehicle. In this paper, the models are applied to predict the NPV cost of conventional gasoline-fueled vehicles vs. parallel hybrid vehicles. The parallel hybrids are assumed to (1) be produced at high volume, (2) use nickel metal hydride battery packs, and (3) have high-strength steel bodies. The conventional vehicle also is assumed to have a high-strength steel body. The simulated vehicles are held constant in many respects, including 0-60 time, engine type, aerodynamic drag coefficient, tire rolling resistance, and frontal area. The hybrids analyzed use the minimum size battery pack and motor to meet specified 0-60 times. A key characteristic affecting commercial viability is noted and quantified: that hybrids achieve the most pronounced fuel economy increase (best use) in slow, average-speed, stop-and-go driving, but when households consistently drive these vehicles under these conditions, they tend to travel fewer miles than average vehicles. We find that hours driven is a more valuable measure than miles. Estimates are developed concerning hours of use of household vehicles versus driving cycle, and the pattern of minimum NPV incremental cost (or benefit) of selecting the hybrid over the conventional vehicle at various fuel prices is illustrated. These results are based on data from various OECD motions on fuel price, annual miles of travel per vehicle, and driving cycles assumed to be applicable in those nations. Scatter in results plotted as a function of average speed, related to details of driving cycles and the vehicles selected for analysis, is discussed.

    Santini, D. J.; Vyas, A. D.

    1999-07-16T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    361

    Microsoft Word - Student Travel Request Form.docx  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    neup@inl.gov | Fax: (208) 526-8076 | Phone: (208) 526-1336 neup@inl.gov | Fax: (208) 526-8076 | Phone: (208) 526-1336 FELLOWSHIP TRAVEL REQUEST FORM Student Name: _____________________________ Date of Request: _________________________ University: ________________________________ Email Address: ___________________________ Phone: ___________________________________ In-State Travel Out-of-State Travel Event Name: ___________________________________________________________________________ Destination: ___________________________________________________________________________ Justification: ___________________________________________________________________________ *Presentation/Poster Title: _______________________________________________________________ Departure Date: _________________________ Return Date: _________________________

    362

    TERMS FOR TRAVEL & EXCHANGE SCHOLARSHIPS As of December 3, 2013  

    E-Print Network (OSTI)

    TERMS FOR TRAVEL & EXCHANGE SCHOLARSHIPS As of December 3, 2013 Q:\\Awards\\In-course\\Travel\\2013-14\\Travel Terms.docx Page 1 of 5 The University Senate, acting on behalf of generous benefactors and donors terms attached to individual academic awards. The general conditions and terms have been established

    Thompson, Michael

    363

    Delivering Energy Efficiency to Middle Income Single Family Households  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Delivering Energy Efficiency to Middle Income Single Family Households Delivering Energy Efficiency to Middle Income Single Family Households Title Delivering Energy Efficiency to Middle Income Single Family Households Publication Type Report Year of Publication 2011 Authors Zimring, Mark, Merrian Borgeson, Ian M. Hoffman, Charles A. Goldman, Elizabeth Stuart, Annika Todd, and Megan A. Billingsley Pagination 102 Date Published 12/2011 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract The question posed in this report is: How can programs motivate these middle income single family households to seek out more comprehensive energy upgrades, and empower them to do so? Research methods included interviews with more than 35 program administrators, policy makers, researchers, and other experts; case studies of programs, based on interviews with staff and a review of program materials and data; and analysis of relevant data sources and existing research on demographics, the financial status of Americans, and the characteristics of middle income American households. While there is no 'silver bullet' to help these households overcome the range of barriers they face, this report describes outreach strategies, innovative program designs, and financing tools that show promise in increasing the attractiveness and accessibility of energy efficiency for this group. These strategies and tools should be seen as models that are currently being honed to build our knowledge and capacity to deliver energy improvements to middle income households. However, the strategies described in this report are probably not sufficient, in the absence of robust policy frameworks, to deliver these improvements at scale. Instead, these strategies must be paired with enabling and complementary policies to reach their full potential.

    364

    Household solid waste characteristics and management in Chittagong, Bangladesh  

    Science Conference Proceedings (OSTI)

    Solid waste management (SWM) is a multidimensional challenge faced by urban authorities, especially in developing countries like Bangladesh. We investigated per capita waste generation by residents, its composition, and the households' attitudes towards waste management at Rahman Nagar Residential Area, Chittagong, Bangladesh. The study involved a structured questionnaire and encompassed 75 households from five different socioeconomic groups (SEGs): low (LSEG), lower middle (LMSEG), middle (MSEG), upper middle (UMSEG) and high (HSEG). Wastes, collected from all of the groups of households, were segregated and weighed. Waste generation was 1.3 kg/household/day and 0.25 kg/person/day. Household solid waste (HSW) was comprised of nine categories of wastes with vegetable/food waste being the largest component (62%). Vegetable/food waste generation increased from the HSEG (47%) to the LSEG (88%). By weight, 66% of the waste was compostable in nature. The generation of HSW was positively correlated with family size (r{sub xy} = 0.236, p management initiative. Of the respondents, an impressive 44% were willing to pay US$0.3 to US$0.4 per month to waste collectors and it is recommended that service charge be based on the volume of waste generated by households. Almost a quarter (22.7%) of the respondents preferred 12-1 pm as the time period for their waste to be collected. This study adequately shows that household solid waste can be converted from burden to resource through segregation at the source, since people are aware of their role in this direction provided a mechanism to assist them in this pursuit exists and the burden is distributed according to the amount of waste generated.

    Sujauddin, Mohammad [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh)], E-mail: mohammad.sujauddin@gmail.com; Huda, S.M.S. [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh); Hoque, A.T.M. Rafiqul [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh); Laboratory of Ecology and Systematics (Plant Ecophysiology Section), Faculty of Science, Biology Division, University of the Ryukyus, Okinawa 903-0213 (Japan)

    2008-07-01T23:59:59.000Z

    365

    Travel Time Estimation Using Floating Car Data  

    E-Print Network (OSTI)

    This report explores the use of machine learning techniques to accurately predict travel times in city streets and highways using floating car data (location information of user vehicles on a road network). The aim of this report is twofold, first we present a general architecture of solving this problem, then present and evaluate few techniques on real floating car data gathered over a month on a 5 Km highway in New Delhi.

    Sevlian, Raffi

    2010-01-01T23:59:59.000Z

    366

    Residential Energy Consumption Survey (RECS) - Analysis & Projections -  

    Gasoline and Diesel Fuel Update (EIA)

    EIA household energy use data now includes detail on 16 States EIA household energy use data now includes detail on 16 States RECS 2009 - Release date: March 28, 2011 EIA is releasing new benchmark estimates for home energy use for the year 2009 that include detailed data for 16 States, 12 more than in past EIA residential energy surveys. EIA has conducted the Residential Energy Consumption Survey (RECS) since 1978 to provide data on home energy characteristics, end uses of energy, and expenses for the four Census Regions and nine Divisions. In 1997, EIA produced additional tabulations for the four most populous States (California, New York, Texas, and Florida). A threefold increase in the number of households included in the 2009 RECS offers more accuracy and coverage for understanding energy usage for all estimated States, Regions and Divisions.

    367

    Evaluation program effectiveness of household hazardous waste collection: The Seattle-King County experience  

    SciTech Connect

    The Seattle-King County Hazardous Waste Management Plan provides the framework for an intensive effort to keep Household Hazardous and Small Quantity Generator (SQG) wastes from entering the normal'' municipal waste streams. The Plan sets ambitious goals for diverting thousands of tons of hazardous wastes from being thrown, poured or dumped in the municipal waste stream. During the first five years, over $30 millon will be spent for a variety of HHW and SQG programs. The Plan incorporates a wide range of elements, including education, collection, and compliance components. Many of the hazardous waste education and collection programs have been developed in response to the Plan, so their effectiveness is still undetermined. A key component of the Plan is program evaluation. This report provides descriptions of two evaluation methods used to establish baselines for assessing the effectiveness of the Hazardous Waste Management Plan's programs. Focusing on the Plan's household hazardous waste programs, the findings of the baseline evaluations are discussed and conclusions are made. A general population survey, conducted through telephone interviews, was designed to assess changes in knowledge, attitudes, and behaviors of area residents. Characterization of the solid waste stream was used to identify the hazardous constituents contributed to municipal solid waste by households. Monitoring changes in the amount of hazardous materials present in the waste stream was used to indicate whether or not Program strategies are influencing disposal behaviors. Comparing the data gathered by these two evaluation methods provided a unique opportunity to cross-check the findings and validate that change, if any, has occurred. From the comparisons, the report draws a number of conclusions.

    1991-10-01T23:59:59.000Z

    368

    DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions June 29, 2012 - 12:19pm Addthis Judy McLemore from the Waste Isolation Pilot Plant led efforts to reduce the DOE’s vehicle fleet by 20 percent, improving sustainability and saving money. Under her leadership, greenhouse gas emissions associated with business travel were reduced by 63 percent and travel costs were reduced by greater than 60 percent. Judy McLemore from the Waste Isolation Pilot Plant led efforts to reduce the DOE's vehicle fleet by 20 percent, improving sustainability and saving money. Under her leadership, greenhouse gas emissions associated with business travel were reduced by 63 percent and travel costs were

    369

    Going Green: Traveling in an Environmentally Responsible Manner |  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Green: Traveling in an Environmentally Responsible Manner Green: Traveling in an Environmentally Responsible Manner Going Green: Traveling in an Environmentally Responsible Manner September 27, 2010 - 7:30am Addthis John Lippert My wife and I recently took a trip to Virginia Beach. I wanted to visit a research center there. I spent a lot of time at the center, including attending a 3-hour conference session. So really-a main reason for the trip was not leisure. I do admit, however, that my wife and I couldn't go there over a long weekend without squeezing in some time for the ocean. Travel and tourism is one of America's largest industries, responsible for more than $1 trillion in the U.S. economy. According to the U.S. Travel Association, one out of every nine jobs in the United States depends on travel and tourism. The U.S. travel and tourism industry is made up of

    370

    DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions June 29, 2012 - 12:19pm Addthis Judy McLemore from the Waste Isolation Pilot Plant led efforts to reduce the DOE’s vehicle fleet by 20 percent, improving sustainability and saving money. Under her leadership, greenhouse gas emissions associated with business travel were reduced by 63 percent and travel costs were reduced by greater than 60 percent. Judy McLemore from the Waste Isolation Pilot Plant led efforts to reduce the DOE's vehicle fleet by 20 percent, improving sustainability and saving money. Under her leadership, greenhouse gas emissions associated with business travel were reduced by 63 percent and travel costs were

    371

    Assess Potential Changes in Business Travel that Impact Greenhouse Gas  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Changes in Business Travel that Impact Greenhouse Changes in Business Travel that Impact Greenhouse Gas Emissions Assess Potential Changes in Business Travel that Impact Greenhouse Gas Emissions October 7, 2013 - 1:22pm Addthis YOU ARE HERE Step 1 For a Federal agency, changes in the demand for business travel can be difficult to predict. Changes in the nature of the agency's work may have a substantial impact on the demand for business travel. It is therefore important to account for these changes when planning for greenhouse gas (GHG) emissions reduction. Conditions that may contribute to a significant increase or decrease in the agency's business travel, beyond specific efforts to reduce business travel demand, include: Significant changes in the agency's budget Addition or completion of major program activities that require

    372

    Prioritize Greenhouse Gas Mitigation Strategies for Business Travel |  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Business Travel Business Travel Prioritize Greenhouse Gas Mitigation Strategies for Business Travel October 7, 2013 - 1:38pm Addthis YOU ARE HERE Based on the guidance in steps 3 in evaluating strategies and step 4 in estimating the cost of implementing those strategies, the agency can define a program of communications, policy and management, and technological and infrastructure support activities that it believes are necessary to support travel reductions. Because business travel can be such a challenging areas to address, effective travel reduction programs will ensure that all of these elements are in place to enable the desired outcomes. Prioritization of those business travel management strategies will instead focus on how broadly the program can be deployed across the agency. The

    373

    Going Green: Traveling in an Environmentally Responsible Manner |  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Going Green: Traveling in an Environmentally Responsible Manner Going Green: Traveling in an Environmentally Responsible Manner Going Green: Traveling in an Environmentally Responsible Manner September 27, 2010 - 7:30am Addthis John Lippert My wife and I recently took a trip to Virginia Beach. I wanted to visit a research center there. I spent a lot of time at the center, including attending a 3-hour conference session. So really-a main reason for the trip was not leisure. I do admit, however, that my wife and I couldn't go there over a long weekend without squeezing in some time for the ocean. Travel and tourism is one of America's largest industries, responsible for more than $1 trillion in the U.S. economy. According to the U.S. Travel Association, one out of every nine jobs in the United States depends on travel and tourism. The U.S. travel and tourism industry is made up of

    374

    DOE/EIA-0193/P PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY  

    U.S. Energy Information Administration (EIA) Indexed Site

    193/P 193/P PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY OFFICE OF THE CONSUMPTION DATA SYSTEM OFFICE OF PROGRAM DEVELOPMENT ENERGY INFORMATION ADMINISTRATION AUGUST 1, 1979 PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY Attached is the first report of the Office of the Consumption Data System, Office of Program Development, Energy Information Administration, presenting preliminary data from the National Interim Energy Consumption Survey (NIECS). The focus of this report is the conservation activities performed by households since January 1977, and the status of households with respect to insulation, storm windows, and other energy conserving characteristics. These tables are from preliminary data files.

    375

    1997 Survey Methods -- Residential Energy Consumption Survey ...  

    U.S. Energy Information Administration (EIA)

    ... of local sources of information, such as building-permit-issuing agencies, ... The FSA is interested in households living below the poverty level. ...

    376

    Water Related Energy Use in Households and Cities - an Australian  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Water Related Energy Use in Households and Cities - an Australian Water Related Energy Use in Households and Cities - an Australian Perspective Speaker(s): Steven Kenway Date: May 12, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Anita Estner James McMahon This presentation covers the content of recent journal papers and reports focused on the water-energy nexus and the related theory of urban metabolism. This includes (i) a review of the water-energy nexus focused on cities (ii) quantifying water-related energy in cities (iii) modeling household water-related energy use including key factors, sensitivity and uncertainty analysis, and (iv) relevance and implications of the urban metabolism theoretical framework. Steven's work focuses on understanding the indirect connections between urban water management, energy use and

    377

    The welfare effects of raising household energy prices in Poland  

    Science Conference Proceedings (OSTI)

    We examine the welfare effects from increasing household energy prices in Poland. Subsidizing household energy prices, common in the transition economies, is shown to be highly regressive. The wealthy spend a larger portion of their income on energy and consume more energy in absolute terms. We therefore rule out the oft-used social welfare argument for delaying household energy price increases. Raising prices, while targeting relief to the poor through a social assistance program is the first-best response. However, if governments want to ease the adjustment, several options are open, including: in-kind transfers to the poor, vouchers, in-cash transfers, and lifeline pricing for electricity. Our simulations show that if raising prices to efficient levels is not politically feasible at present and social assistance targeting is sufficiently weak, it may be socially better to use lifeline pricing and a large price increase than an overall, but smaller, price increase.

    Freund, C.L. [Columbia Univ., New York, NY (United States); Wallich, C.I. [World Bank, Washington, DC (United States)

    1996-06-01T23:59:59.000Z

    378

    Modeling patterns of hot water use in households  

    Science Conference Proceedings (OSTI)

    This report presents a detailed model of hot water use patterns in individual household. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies. 21 refs., 3 figs., 10 tabs.

    Lutz, J.D.; Liu, Xiaomin; McMahon, J.E. [and others

    1996-11-01T23:59:59.000Z

    379

    Modeling patterns of hot water use in households  

    SciTech Connect

    This report presents a detailed model of hot water use patterns in individual households. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies.

    Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

    1996-01-01T23:59:59.000Z

    380

    A Glance at China’s Household Consumption  

    SciTech Connect

    Known for its scale, China is the most populous country with the world’s third largest economy. In the context of rising living standards, a relatively lower share of household consumption in its GDP, a strong domestic market and globalization, China is witnessing an unavoidable increase in household consumption, related energy consumption and carbon emissions. Chinese policy decision makers and researchers are well aware of these challenges and keen to promote green lifestyles. China has developed a series of energy policies and programs, and launched a wide?range social marketing activities to promote energy conservation.

    Shui, Bin

    2009-10-22T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    381

    Residential Energy Consumption Survey: Consumption and expenditures, April 1984 through March 1985: Part 1, National data  

    Science Conference Proceedings (OSTI)

    This report presents data collected in the 1984 Residential Energy Consumption Survey (RECS) conducted by the Energy Information Administration (EIA). The 1984 RECS was the sixth national survey of US households and their energy suppliers. The purpose of these surveys is to provide baseline information on how households use energy. Households in all types of housing units - single family homes (including townhouses), apartments, and mobile homes - were chosen to participate. Data from the surveys are available to the public in published reports such as this one and on public-use data tapes. The report presents data on the US consumption and expenditures for residential use of these ''major fuels'' - natural gas, electricity, fuel oil, kerosene, and liquefied petroleum gas (LPG) - from April 1984 through March 1985. These data are presented in tables in the Detailed Statistics section of this report. Except for kerosene and wood fuel, the consumption and expenditures data are based on actual household bills obtained, with the permission of the household, from the companies supplying energy to the household. Purchases of kerosene are based on respondent reports because records of ''cash and carry'' purchases of kerosene for individual households are usually unavailable. Data on the consumption of wood fuel (Table 27) covers the 12-month period ending November 1984 and are based on respondent recall of the amount of wood burned during the 12-month period. Both the kerosene and wood consumption data are subject to memory errors and other reporting errors. This report does not cover household use of motor fuel, which is reported separately.

    Not Available

    1987-03-04T23:59:59.000Z

    382

    Foreign Travel Health & Wellness Information | Department of Energy  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Wellness Programs » Foreign Travel Health Wellness Programs » Foreign Travel Health & Wellness Information Foreign Travel Health & Wellness Information All travelers should take the following precautions, no matter the destination: Wash hands often with soap and water. Because motor vehicle crashes are a leading cause of injury among travelers, walk and drive defensively; avoid travel at night if possible and always use seat belts. Don't eat or drink dairy products unless you know they have been pasteurized. Never eat undercooked ground beef and poultry, raw eggs, and unpasteurized dairy products; raw shellfish is particularly dangerous to persons who have liver disease or compromised immune systems. Don't eat food purchased from street vendors; do not drink beverages with ice. Don't handle animals, including dogs and cats, to avoid bites and

    383

    ADMF-007 EOTA Pre-Travel Authorization 11_0221  

    NLE Websites -- All DOE Office Websites (Extended Search)

    7 EOTA Pre-Travel Authorization 11_0221 7 EOTA Pre-Travel Authorization 11_0221 11_0221 Deleted extraneous redundant areas and updated chart. EOTA - Business Form Document Title: EOTA Pre-Travel Authorization Form Document Number: ADMF-007 Rev. 11_0221 Document Owner: Approvers: Elizabeth Sousa Melissa Otero Backup Owner: Melissa Otero Referenced Documents: N/A Parent Document: Notify of Changes: ADMP-004, Travel Process ADM MGT 08_0314 Changed name to EOTA Pre-Travel..., added area to identify if a detailed trip report is required, moved FMT signature block. 08_0523 Changed form to mirror the Prime Contractor form as all information is necessary for all authorized travel. Revision History: Rev. Description of Change A Initial Release. 11_0105 Added a refundable/non-refundable approval 08_0606 Added Company Name to form. Merged cells to reveal required text for Yes/No approval.

    384

    EvoNILM: evolutionary appliance detection for miscellaneous household appliances  

    Science Conference Proceedings (OSTI)

    To improve the energy awareness of consumers, it is necessary to provide them with information about their energy demand, not just on the household level. Non-intrusive load monitoring (NILM) gives the consumer the opportunity to disaggregate their consumed ... Keywords: evolutionary algorithm, load disaggregation, non-intrusive load monitoring

    Dominik Egarter; Wilfried Elmenreich

    2013-07-01T23:59:59.000Z

    385

    Modelling the Energy Demand of Households in a Combined  

    E-Print Network (OSTI)

    . Emissions from passenger transport, households'electricity and heat consumption are growing rapidly despite demand analysis for electricity (e.g. Larsen and Nesbakken, 2004; Holtedahl and Joutz, 2004; Hondroyiannis, 2004) and passenger cars (Meyer et al., 2007). Some recent studies cover the whole residential

    Steininger, Karl W.

    386

    Survey Statisticians  

    U.S. Energy Information Administration (EIA) Indexed Site

    Survey Statisticians Survey Statisticians The U.S.Energy Information Administration (EIA) within the Department of Energy has forged a world-class information program that stresses quality, teamwork, and employee growth. In support of our program, we offer a variety of profes- sional positions, including the Survey Statistician, who measures the amounts of energy produced and consumed in the United States. Responsibilities: Survey Statisticians perform or participate in one or more of the following important functions: * Design energy surveys by writing questions, creating layouts and testing questions for clarity and accuracy. * Conduct energy surveys to include sending out and tracking survey responses, editing and analyzing data submis- sions and communicating with respondents to verify data.

    387

    DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse...  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    document reviews with regulators instead of meeting in person and reduced rental car usage by standardizing travel arrangements so that only one rental car is necessary...

    388

    SFU Travel Claim Form - Burnaby - CECM - Simon Fraser University  

    E-Print Network (OSTI)

    Credit card slips will only be accepted for restaurant charges and gas. - List names of all travelers and/or guests for which expenses are claimed. - Foreign ...

    389

    Traveling Salesman Problem Formulations with $N \\log N$ Number ...  

    E-Print Network (OSTI)

    Feb 13, 2013 ... Traveling Salesman Problem Formulations with $N \\log N$ Number of Binary Variables. Thomas A. Pogiatzis(tp309 ***at*** cam.ac.uk)

    390

    Traveling Wave Thermoacoustic-Piezoelectric Energy Harvester: Theory and Experiment.  

    E-Print Network (OSTI)

    ??This thesis presents a theoretical and experimental investigation of a piezoelec- tric energy harvester coupled to a traveling wave thermoacoustic engine (TWTAE). By simplifying the… (more)

    Roshwalb, Andrew Zvi

    2011-01-01T23:59:59.000Z

    391

    Model development for household waste prevention behaviour  

    Science Conference Proceedings (OSTI)

    Highlights: Black-Right-Pointing-Pointer We model waste prevention behaviour using structure equation modelling. Black-Right-Pointing-Pointer We merge attitude-behaviour theories with wider models from environmental psychology. Black-Right-Pointing-Pointer Personal norms and perceived behaviour control are the main behaviour predictors. Black-Right-Pointing-Pointer Environmental concern, moral obligation and inconvenience are the main influence on the behaviour. Black-Right-Pointing-Pointer Waste prevention and recycling are different dimensions of waste management behaviour. - Abstract: Understanding waste prevention behaviour (WPB) could enable local governments and decision makers to design more-effective policies for reducing the amount of waste that is generated. By merging well-known attitude-behaviour theories with elements from wider models from environmental psychology, an extensive cognitive framework that provides new and valuable insights is developed for understanding the involvement of individuals in waste prevention. The results confirm the usefulness of the theory of planned behaviour and of Schwartz's altruistic behaviour model as bases for modelling participation in waste prevention. A more elaborate integrated model of prevention was shown to be necessary for the complete analysis of attitudinal aspects associated with waste prevention. A postal survey of 158 respondents provided empirical support for eight of 12 hypotheses. The proposed structural equation indicates that personal norms and perceived behaviour control are the main predictors and that, unlike the case of recycling, subjective norms have a weak influence on WPB. It also suggests that, since social norms have not presented a direct influence, WPB is likely to be influenced by a concern for the environment and the community as well by perceptions of moral obligation and inconvenience. Results also proved that recycling and waste prevention represent different dimensions of waste management behaviour requiring particular approaches to increase individuals' engagement in future policies.

    Bortoleto, Ana Paula, E-mail: a.bortoleto@sheffield.ac.uk [Department of Urban Engineering, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656 (Japan); Kurisu, Kiyo H.; Hanaki, Keisuke [Department of Urban Engineering, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656 (Japan)

    2012-12-15T23:59:59.000Z

    392

    Using unlabeled Wi-Fi scan data to discover occupancy patterns of private households  

    Science Conference Proceedings (OSTI)

    This poster presents the homeset algorithm, a lightweight approach to estimate occupancy schedules of private households. The algorithm relies on the mobile phones of households' occupants to collect Wi-Fi scans. The scans are then used to determine ...

    Wilhelm Kleiminger, Christian Beckel, Anind Dey, Silvia Santini

    2013-11-01T23:59:59.000Z

    393

    California’s Immigrant Households and Public-Assistance Participation in the 1990s - Policy Brief  

    E-Print Network (OSTI)

    with Dependent Children (AFDC)/California Work Opportunitystate households participating in AFDC/ CalWORKs pro- grams.of noncitizen households received AFDC, compared to 4.5% of

    2002-01-01T23:59:59.000Z

    394

    Table 1. Total Energy Consumption in U.S. Households by Origin ...  

    U.S. Energy Information Administration (EIA)

    Wood (million cords) ..... 21.4 19.8 0.8 0.6 0.3 19.3 Million Btu per Household3 Total Btu Consumption per Household, Fuels Used: Electricity Primary ...

    395

    An Analysis of the Price Elasticity of Demand for Household Appliances  

    E-Print Network (OSTI)

    Customers’ Choice of Appliance Efficiency Level: CombiningThe Effect of Income on Appliances in U.S. Households. U.S.Household’s Choice of Appliance Efficiency Level. Review of

    Dale, Larry

    2008-01-01T23:59:59.000Z

    396

    Definition: Reflection Survey | Open Energy Information  

    Open Energy Info (EERE)

    Reflection Survey Reflection Survey Jump to: navigation, search Dictionary.png Reflection Survey Seismic reflection surveys image the structure of the subsurface through the measurement of the two way travel time of reflected artificially-generated elastic waves.[1] View on Wikipedia Wikipedia Definition Also Known As Seismic Reflection References ↑ http://www.amazon.com/Introduction-Geophysical-Prospecting-Milton-Dobrin/dp/0071004041 Ret LikeLike UnlikeLike You like this.Sign Up to see what your friends like. rieved from "http://en.openei.org/w/index.php?title=Definition:Reflection_Survey&oldid=598371" Category: Definitions What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load)

    397

    Household energy and consumption and expenditures, 1990. [Contains Division, Census Region, and Climate Zone maps  

    Science Conference Proceedings (OSTI)

    The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990.

    Not Available

    1993-03-02T23:59:59.000Z

    398

    Digital Surveying Directional Surveying Specialists | Open Energy  

    Open Energy Info (EERE)

    Digital Surveying Directional Surveying Specialists Digital Surveying Directional Surveying Specialists Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Digital Surveying Directional Surveying Specialists Author Directional Surveying Specialists Published Publisher Not Provided, 2012 DOI Not Provided Check for DOI availability: http://crossref.org Online Internet link for Digital Surveying Directional Surveying Specialists Citation Directional Surveying Specialists. Digital Surveying Directional Surveying Specialists [Internet]. 2012. [cited 2013/10/08]. Available from: http://www.digitalsurveying.co.za/services/geophysical-borehole-surveying/overview/optical-televiewer/ Retrieved from "http://en.openei.org/w/index.php?title=Digital_Surveying_Directional_Surveying_Specialists&oldid=690244"

    399

    U.S. Climate Zones-Households - - Energy Information Administration  

    U.S. Energy Information Administration (EIA)

    Residential Sector energy Intensities for 1978-1997 using data from EIA Residential Energy Consumption Survey.

    400

    Stable operating regime for traveling wave devices  

    DOE Patents (OSTI)

    Autophase stability is provided for a traveling wave device (TWD) electron beam for amplifying an RF electromagnetic wave in walls defining a waveguide for said electromagnetic wave. An off-axis electron beam is generated at a selected energy and has an energy noise inherently arising from electron gun. The off-axis electron beam is introduced into the waveguide. The off-axis electron beam is introduced into the waveguide at a second radius. The waveguide structure is designed to obtain a selected detuning of the electron beam. The off-axis electron beam has a velocity and the second radius to place the electron beam at a selected distance from the walls defining the waveguide, wherein changes in a density of the electron beam due to the RF electromagnetic wave are independent of the energy of the electron beam to provide a concomitant stable operating regime relative to the energy noise.

    Carlsten, Bruce E. (Los Alamos, NM)

    2000-01-01T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    401

    HQFMSP Chapter 7, Surveys and Reviews | Department of Energy  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    7, Surveys and Reviews 7, Surveys and Reviews HQFMSP Chapter 7, Surveys and Reviews October 2013 2013 Headquarters Facilities Master Security Plan - Chapter 7, Surveys and Reviews This chapter covers the HQ Security Survey Program, which has two primary functions. First, survey team members assist HQ program elements in establishing, maintaining, and deactivating their LAs, VTRs, and TLAs. Second, the survey team conducts an annual assessment of how well security activities are being performed throughout HQ. Problems they identify must be corrected to ensure that that HQ security interests are being properly protected. This chapter is maintained by the HQ Security Survey Program Manager in HS-92.s'> There are also controls over some foreign travel performed by DOE employees and contractors. Controls and required actions

    402

    HQFMSP Chapter 7, Surveys and Reviews | Department of Energy  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    7, Surveys and Reviews 7, Surveys and Reviews HQFMSP Chapter 7, Surveys and Reviews October 2013 2013 Headquarters Facilities Master Security Plan - Chapter 7, Surveys and Reviews This chapter covers the HQ Security Survey Program, which has two primary functions. First, survey team members assist HQ program elements in establishing, maintaining, and deactivating their LAs, VTRs, and TLAs. Second, the survey team conducts an annual assessment of how well security activities are being performed throughout HQ. Problems they identify must be corrected to ensure that that HQ security interests are being properly protected. This chapter is maintained by the HQ Security Survey Program Manager in HS-92.s'> There are also controls over some foreign travel performed by DOE employees and contractors. Controls and required actions

    403

    SCO Survey  

    Science Conference Proceedings (OSTI)

    Survey on Future of NIST's Standards Information Services. June 5, 2013. *. Bookmark and Share. Contact: Clare Allocca 301-975-4359. ...

    2013-06-05T23:59:59.000Z

    404

    UNALLOWABLE EXPENSES Some common unallowable TRAVEL expenses on University  

    E-Print Network (OSTI)

    travel agencies. Those agencies are knowledgeable of State airline contracts, available fares and billing of the State contracted rental car agencies is mandatory. Car rentals must be paid with the State Travel Card provides the list of awarded rental car agencies as well as a list of awarded cities by vendor: http://www.state

    405

    Maximal covering location problem (MCLP) with fuzzy travel times  

    Science Conference Proceedings (OSTI)

    This paper presents a fuzzy maximal covering location problem (FMCLP) in which travel time between any pair of nodes is considered to be a fuzzy variable. A fuzzy expected value maximization model is designed for such a problem. Moreover, a hybrid algorithm ... Keywords: Credibility theory, Facility location, Fuzzy travel times, Maximal covering location problem (MCLP), Simulation

    Soheil Davari; Mohammad Hossein Fazel Zarandi; Ahmad Hemmati

    2011-11-01T23:59:59.000Z

    406

    A New Memetic Algorithm for the Asymmetric Traveling Salesman Problem  

    Science Conference Proceedings (OSTI)

    This paper introduces a new memetic algorithm specialized for the asymmetric instances of the traveling salesman problem (ATSP). The method incorporates a new local search engine and many other features that contribute to its effectiveness, such as: ... Keywords: asymmetric traveling salesman problem, local search, memetic algorithms, metaheuristics

    Luciana Buriol; Paulo M. França; Pablo Moscato

    2004-09-01T23:59:59.000Z

    407

    Supplemental Guidance Regarding Compensatory Time Off for Travel  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    SUPPLEMENTAL GUIDANCE SUPPLEMENTAL GUIDANCE REGARDING COMPENSATORY TIME OFF FOR TRAVEL (Revised October 27, 2008) Following are questions and answers on issues that supplement the final regulations effective this date on compensatory time for travel issued by the Office of Personnel Management on April 17, 2007. In addition, a sample worksheet is attached to assist travelers in determining and documenting their travel time that may be credited for compensatory time for travel. This information will be incorporated in Appendix D of the DOE Handbook on Overtime when the handbook is updated. Q1. Who is eligible for this benefit? A1. All employees are eligible except the following: the Secretary, SESs, employees covered by other forms of overtime compensation, including law enforcement

    408

    Checklist for Medical Issues When Traveling Overseas | Department of Energy  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Benefits » Wellness Programs » Foreign Travel Health Benefits » Wellness Programs » Foreign Travel Health & Wellness Information » Checklist for Medical Issues When Traveling Overseas Checklist for Medical Issues When Traveling Overseas Before the Trip A written confirmation from an appropriate manager, i.e., a Travel Authorization or memorandum, that identifies the employee and country(ies) that will be visited should be provided the medical support staff 4-8 weeks prior to the trip or, if less than 4 weeks, as soon as management or the employee becomes aware of it. The medical staff will identify what vaccinations are recommended for each country and discuss the current health issues for each country with the employee. Some vaccinations take several weeks to become effective. The medical staff will review and update the employee's routine

    409

    Petroleum Reduction Strategies to Reduce Vehicle Miles Traveled |  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Reduce Vehicle Miles Traveled Reduce Vehicle Miles Traveled Petroleum Reduction Strategies to Reduce Vehicle Miles Traveled October 7, 2013 - 11:52am Addthis YOU ARE HERE: Step 3 For reducing greenhouse gas emissions, the table below describes petroleum reduction strategies to reduce vehicle miles traveled, as well as guidance and best practices for each strategy. Table 1. Determining When and How to Promote the Use of Strategies to Reduce Vehicle Miles Traveled Strategy When Applicable Best Practices Consolidate trips Applicable to all vehicles, regardless of ownership or vehicle and fuel type Target vehicle operators who take longer trips Seek vehicle operator input and collaboration to identify regular or occasional trips that involve similar routes. Determine whether trips on multiple days or times can be consolidated into a single trip.

    410

    Residential Housing Survey  

    U.S. Energy Information Administration (EIA)

    PCs, Modems and Laser Printers: Main Heating Fuels: Household PC Usage : Use of Central Heating Systems: Stoves, Ovens and Microwaves: Main Central ...

    411

    Survey Consumption  

    Gasoline and Diesel Fuel Update (EIA)

    fsidentoi fsidentoi Survey Consumption and 'Expenditures, April 1981 March 1982 Energy Information Administration Wasningtoa D '" N """"*"""*"Nlwr. . *'.;***** -. Mik>. I This publication is available from ihe your COr : 20585 Residential Energy Consumption Survey: Consum ption and Expendi tures, April 1981 Through March 1982 Part 2: Regional Data Prepared by: Bruce Egan This report was prepared by the Energy Information Administra tion, the independent statistical

    412

    Energy conservation for household refrigerators and water heaters  

    Science Conference Proceedings (OSTI)

    An energy conservation arrangement for household refrigerators and water heaters, in which the source of cold water to the hot water heater is divided and part is caused to flow through and be warmed in the condenser of the refrigerator. The warmed water is then further heated in the oil cooling loop of the refrigerator compressor, and proceeds then to the top of the hot water tank.

    Speicher, T. L.

    1984-12-11T23:59:59.000Z

    413

    Sizing Wind/Photovoltaic Hybrids for Households in Inner Mongolia  

    DOE Green Energy (OSTI)

    Approximately 140,000 wind turbines currently provide electricity to about one-third of the non-grid-connected households in Inner Mongolia. However, these households often suffer from a lack of power during the low-wind summer months. This report describes an analysis of hybrid wind/photovoltaic (PV) systems for such households. The sizing of the major components is based on a subjective trade-off between the cost of the system and the percent unmet load, as determined by the Hybrid 2 software in conjunction with a simplified time-series model. Actual resource data (wind speed and solar radiation) from the region are processed so as to best represent the scenarios of interest. Small wind turbines of both Chinese and U.S. manufacture are considered in the designs. The results indicate that combinations of wind and PV are more cost-effective than either one alone, and that the relative amount of PV in the design increases as the acceptable unmet load decreases and as the average wind sp eed decreases.

    Barley, C. D.; Lew, D. J.; Flowers, L. T.

    1997-06-01T23:59:59.000Z

    414

    Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey  

    E-Print Network (OSTI)

    of activity space to be associated with propulsion systemactivity spaces are related to choices of propulsion systems

    Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

    1996-01-01T23:59:59.000Z

    415

    Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey  

    E-Print Network (OSTI)

    the demand electric vehicles’, TransportationResearchA,1994) ~tive NewsCalifornia Electric Vehicle ConsumerStudy.1995) Forecasting Electric Vehicle Ownership Use in the

    Kurani, Kenneth S.; Turrentine, Thomas; Sperling, Daniel

    2001-01-01T23:59:59.000Z

    416

    Household activities through various lenses: crossing surveys, diaries and electric consumption  

    E-Print Network (OSTI)

    comparison between electricity consumption and behavioralK. 2013. “Domestic energy consumption-What role do comfort,residential electricity consumption” Energy Policy, 42(2012)

    Durand-Daubin, Mathieu

    2013-01-01T23:59:59.000Z

    417

    Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey  

    E-Print Network (OSTI)

    new feanlres of compressed natural gas. battery poweredgasoline, compressed natural gas, hybrid dectdc, two typesNatural gas vehicles (NGVs) were available with one two compressed

    Kurani, Kenneth S.; Turrentine, Thomas; Sperling, Daniel

    2001-01-01T23:59:59.000Z

    418

    Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey  

    E-Print Network (OSTI)

    new features of compressed natural gas, battery poweredgasoline, compressed natural gas, hybrid electric, two typesNatural gas vehicles (NGVs) were available with one or two compressed

    Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

    1996-01-01T23:59:59.000Z

    419

    Household activities through various lenses: crossing surveys, diaries and electric consumption  

    E-Print Network (OSTI)

    changes differ from one appliance to another. Referencespeople activities, appliances use, and electric consumption.of use of the three appliances studied. However, variations

    Durand-Daubin, Mathieu

    2013-01-01T23:59:59.000Z

    420

    Evolving travel behavior, the built environment, and subway investments in Mexico City By  

    E-Print Network (OSTI)

    Mexico City is a suburban metropolis, yet most of its suburbs would be unfamiliar to urbanists accustomed to thinking about US metropolitan regions. Mexico City’s suburbs are densely populated—not thinly settled—and its residents rely primarily on informal transit rather than privately-owned automobiles for their daily transportation. These types of dense and transitdependent suburbs have emerged as the fastest-growing form of human settlement in cities throughout Latin America, Asia, and Africa. Wealthier and at a later stage in its economic development than other developing-world metropolises, Mexico City is a compelling place to investigate the effects of rising incomes, increased car ownership, and transit investments in the dense, peripheral areas that have grown rapidly around informal transit in the past decades, and is a bellwether for cities like Dakar, Cairo, Lima, and Jakarta. I begin this dissertation with a historical overview of the demographic, economic, and political trends that have helped shape existing urban form, transportation infrastructure, and travel behavior in Mexico City. Despite an uptick in car ownership and use, most households— both urban and suburban—continue to rely on public transportation. Furthermore, suburban Mexico City has lower rates of car ownership and use than its central areas. In subsequent

    Erick Strom Guerra; Erick Strom Guerra; Erick Strom; Guerra Abstract; Erick Strom Guerra

    2013-01-01T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    421

    Hamiltonian Graphs and the Traveling Salesman Problem  

    E-Print Network (OSTI)

    A new characterization of Hamiltonian graphs using f-cutset matrix is proposed. A new exact polynomial time algorithm for the traveling salesman problem (TSP) based on this new characterization is developed. We then define so called ordered weighted adjacency list for given weighted complete graph and proceed to the main result of the paper, namely, the exact algorithm based on utilization of ordered weighted adjacency list and the simple properties that any path or circuit must satisfy. This algorithm performs checking of sub-lists, containing (p-1) entries (edge pairs) for paths and p entries (edge pairs) for circuits, chosen from ordered adjacency list in a well defined sequence to determine exactly the shortest Hamiltonian path and shortest Hamiltonian circuit in a weighted complete graph of p vertices. The procedure has intrinsic advantage of landing on the desired solution in quickest possible time and even in worst case in polynomial time. A new characterization of shortest Hamiltonian tour for a weighted complete graph satisfying triangle inequality (i.e. for tours passing through every city on a realistic map of cities where cities can be taken as points on a Euclidean plane) is also proposed. Finally, we discuss a novel classical algorithm for unstructured search and its effect on any of the NP-Complete problems.

    Dhananjay P. Mehendale

    2007-04-27T23:59:59.000Z

    422

    Climate Survey  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Operations Employee Operations Employee Climate Survey March 2009 Acknowledgements The Berkeley Lab Survey Team consisted of the following: Jim Krupnick, Sponsor Vera Potapenko, Project Lead Karen Ramorino, Project Manager Chris Paquette, MOR Associates Alexis Bywater, MOR Associates MOR Associates, an external consulting firm, acted as project manager for this effort, analyzing the data and preparing this report. MOR Associates specializes in continuous improve- ment, strategic thinking and leadership development. MOR Associates has conducted a number of large-scale surveys for organizations in higher education, including MIT, Stanford, the University of Chicago, and others. MOR Associates, Inc. 462 Main Street, Suite 300 Watertown, MA 02472 tel: 617.924.4501

    423

    ITS Information And Services To Enhance The Mobility Of Disabled Travelers  

    E-Print Network (OSTI)

    Mobility of Elderly and Disabled Travelers: Initial Surveyto understand the needs of the disabled population, it isto Enhance the Mobility of Disabled Travelers Wan-Hui Chen,

    Chen, Wan-hui; Uwaine, Rochelle; Klaver, Kelley; Kurani, Ken; Jovanis, Paul P.

    1998-01-01T23:59:59.000Z

    424

    DOE O 552.1A Admin Chg 1, Travel Policy and Procedures  

    Directives, Delegations, and Requirements

    The Order supplements the Federal Travel Regulation as principal source of policy for Federal employee travel and relocation and establishes DOE M 552.1-1A, ...

    2006-02-17T23:59:59.000Z

    425

    Residential Transportation Historical Data Tables for 1983-2001  

    U.S. Energy Information Administration (EIA) Indexed Site

    RTECS Historical Data Tables RTECS Historical Data Tables Residential Transportation Historical Data Tables Released: May 2008 Below are historical data tables from the Residential Transportation Energy Consumption Survey (RTECS) and Household Vehicles Energy Use: Latest Data & Trends report. These tables cover the trends in energy consumption for household transportation throughout the survey years. The data focus on several important indicators of demand for transportation: number and type of vehicles per household; vehicle-miles traveled per household and per vehicle; fuel consumption; fuel expenditures; and fuel economy. Excel PDF Trends in Households & Vehicles Table 1. Number of Households with Vehicles excel pdf Table 2. Percent of Households with Vehicles excel pdf

    426

    VLBI surveys  

    E-Print Network (OSTI)

    Systematic surveys of astronomical objects often lead to discoveries, but always provide invaluable information for statistical studies of well-defined samples. They also promote follow-up investigations of individual objects or classes. Surveys using a yet unexplored observing wavelength, a novel technique or a new instrument are of special importance. Significantly improved observing parameters (e.g. sensitivity, angular resolution, monitoring capability) provide new insight into the morphological and physical properties of the objects studied. I give a brief overview of the important Very Long Baseline Interferometry (VLBI) imaging surveys conducted in the past. A list of surveys guides us through the developments up until the present days. I also attempt to show directions for the near future.

    S. Frey

    2006-11-08T23:59:59.000Z

    427

    DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    WIPP Representative for Cutting Travel Costs, Greenhouse WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions June 1, 2012 - 12:00pm Addthis Secretary Chu presents the Secretary of Energy's Appreciation Award to Judy A. McLemore. Secretary Chu presents the Secretary of Energy's Appreciation Award to Judy A. McLemore. WASHINGTON, D.C. - A representative of the Waste Isolation Pilot Plant (WIPP) near Carlsbad, N.M., on Tuesday received the Secretary of Energy's Appreciation Award for her efforts to improve sustainability and reduce travel costs and the number of fleet vehicles. Judy A. McLemore, who works for URS Regulatory and Environmental Services, based in Carlsbad, was honored for helping advance DOE's management and

    428

    Researchers test novel power system for space travel  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Power system for space travel Power system for space travel Researchers test novel power system for space travel The research team recently demonstrated the first use of a heat pipe to cool a small nuclear reactor and power a Stirling engine. November 26, 2012 John Bounds of Los Alamos National Laboratory's Advanced Nuclear Technology Division makes final adjustments on the DUFF experiment, a demonstration of a simple, robust fission reactor prototype that could be used as a power system for space travel. DUFF is the first demonstration of a space nuclear reactor system to produce electricity in the United States since 1965. John Bounds of Los Alamos National Laboratory's Advanced Nuclear Technology Division makes final adjustments on the DUFF experiment, a demonstration of a simple, robust fission reactor prototype that could be used as a power

    429

    Deputy Secretary Poneman to Travel to Russia | Department of Energy  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Poneman to Travel to Russia Poneman to Travel to Russia Deputy Secretary Poneman to Travel to Russia December 3, 2010 - 12:00am Addthis Washington, D.C. - On Monday, December 6, U.S. Deputy Secretary of Energy Daniel Poneman will travel to Russia as part of the ongoing cooperation between the two countries on nuclear security and peaceful nuclear energy issues. On Tuesday, Deputy Secretary Poneman will co-chair the U.S.-Russia Nuclear Energy and Nuclear Security Working Group Plenary Meeting with Director General of the State Atomic Energy Corporation "Rosatom" Sergei Kiriyenko. The Working Group was established under the U.S.-Russia Bilateral Presidential Commission at the July 2009 Presidential Summit. Last fall, Director Kiriyenko visited the United States for the first meetings of the

    430

    Novel power system demonstrated for space travel | National Nuclear  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Novel power system demonstrated for space travel | National Nuclear Novel power system demonstrated for space travel | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Novel power system demonstrated for space travel Novel power system demonstrated for space travel Posted By Office of Public Affairs John Bounds, Los Alamos National Laboratory

    431

    Sec. Chu Travels to Houston | Department of Energy  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Sec. Chu Travels to Houston Sec. Chu Travels to Houston Sec. Chu Travels to Houston February 2, 2012 - 5:19pm Addthis The Houston Medical Center Thermal Energy Corporation Control Room. | Photo Courtesy of the Texas Medical Center The Houston Medical Center Thermal Energy Corporation Control Room. | Photo Courtesy of the Texas Medical Center Ginny Simmons Ginny Simmons Former Managing Editor for Energy.gov, Office of Public Affairs Secretary Chu traveled to Houston, Texas, today to meet with executives from various oil and gas companies, host a State of the Union Town Hall with students from Houston Community College, and tour the Texas Medical Center -- which recently completed a series of major energy efficiency upgrades. As part of his blueprint to build an economy to last, President Obama has

    432

    Novel power system demonstrated for space travel | National Nuclear  

    National Nuclear Security Administration (NNSA)

    Novel power system demonstrated for space travel | National Nuclear Novel power system demonstrated for space travel | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Novel power system demonstrated for space travel Novel power system demonstrated for space travel Posted By Office of Public Affairs John Bounds, Los Alamos National Laboratory

    433

    SunShot Concentrating Solar Power Program Review 2013 - Travel...  

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    SunShot Concentrating Solar Power Program Review 2013 April 23-25, 2013 Phoenix, Arizona Skip navigation to main content Menu Home About Agenda Register Venue Presentations Travel...

    434

    How ORISE is Making a Difference: Travelers' Health Campaign  

    NLE Websites -- All DOE Office Websites (Extended Search)

    online outreach. Campaign themes include "Prevention can be Travel-Sized" and "Stop, Wash and Go." Among THC's core messages, the CDC is urging people to take the following...

    435

    A Striking Example of the Atmosphere's Leading Traveling Pattern  

    Science Conference Proceedings (OSTI)

    Conventional and complex empirical orthogonal function (EOF) techniques show that for at least four months during the fall and winter of 1979/80 a large-amplitude, large-scale, traveling flow anomaly existed in the troposphere and stratosphere. ...

    Grant Branstator

    1987-08-01T23:59:59.000Z

    436

    Defining business strategy for development of travel and tourism industry  

    E-Print Network (OSTI)

    Many studies conducted on Travel and Tourism industry consider tourism an economic phenomenon. Providing a customer-satisfaction-based analysis, this thesis deals with both economic and social aspects. Economic data on ...

    Davari, Dordaneh

    2011-01-01T23:59:59.000Z

    437

    Passenger travel behavior model in railway network simulation  

    Science Conference Proceedings (OSTI)

    Transportation planners and public transport operators alike have become increasingly aware of the need to diffuse the concentration of the peak period travel. Differentiated pricing is one possible method to even out the demand and reduce peak load ...

    Ting Li; Eric van Heck; Peter Vervest; Jasper Voskuilen; Freek Hofker; Fred Jansma

    2006-12-01T23:59:59.000Z

    438

    Odometer Versus Self-Reported Estimates of Vehicle Miles Traveled  

    Reports and Publications (EIA)

    The findings described here compare odometer readings with self-reported estimates of Vehicle Miles Traveled (VMT) to investigate to what extent self-reported VMT is a reliable surrogate for odometer-based VMT.

    Information Center

    2000-08-01T23:59:59.000Z

    439

    Understanding transit travel behavior : value added by smart cards  

    E-Print Network (OSTI)

    Travel behavior represents a particularly complex area of research in transportation given the interaction between transport supply characteristics and the user perceptions which guide his/her decisions. Thanks to the ...

    Gupta, Saumya, S.M. Massachusetts Institute of Technology

    2006-01-01T23:59:59.000Z

    440

    Travel and migration associated infectious diseases morbidity in Europe, 2008  

    E-Print Network (OSTI)

    Infect 2009, 11:1177-1185. 19. NaTHNaC Clinical Update: Tropical Cyclone Nargis in Myanmar - advice for relief workers and other travellers to affected areas. 2008 [http:// www.nathnac.org/pro/clinical_updates/cyclonemyanmar_070508.htm], (Accessed January... ://www.eurotravnet.eu, a network of clinical specialists in tropical and travel medicine was founded in 2008, to assist the European Centre for Dis- ease Prevention & Control (ECDC) for the detection, verification, assessment and communication of commu- nicable diseases...

    Field, Vanessa; Gautret, Philippe; Schlagenhauf, Patricia; Burchard, Gerd-Dieter; Caumes, Eric; Jensenius, Mogens; Castelli, Francesco; Gkrania-Klotsas, Effrossyni; Weld, Leisa; Lopez-Velez, Rogelio; de Vries, Peter; von Sonnenburg, Frank; Loutan, Louis; Parola, Philippe; Network, the EuroTravNet

    2010-11-17T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    441

    Indoor Secondary Pollutants from Household Product Emissions in the  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Indoor Secondary Pollutants from Household Product Emissions in the Indoor Secondary Pollutants from Household Product Emissions in the Presence of Ozone: A Bench-Scale Chamber Study Title Indoor Secondary Pollutants from Household Product Emissions in the Presence of Ozone: A Bench-Scale Chamber Study Publication Type Journal Article LBNL Report Number LBNL-58785 Year of Publication 2006 Authors Destaillats, Hugo, Melissa M. Lunden, Brett C. Singer, Beverly K. Coleman, Alfred T. Hodgson, Charles J. Weschler, and William W. Nazaroff Journal Environmental Science and Technology Volume 40 Start Page Chapter Pagination 4421-4428 Abstract Ozone-driven chemistry is a major source of indoor secondary pollutants of health concern. This study investigates secondary air pollutants formed from reactions between constituents of household products and ozone. Gas-phase product emissions were introduced along with ozone at constant rates into a 198-L Teflon-lined reaction chamber. Gas-phase concentrations of reactive terpenoids and oxidation products were measured. Formaldehyde was a predominant oxidation byproduct for the three studied products, with yields under most conditions of 20-30% with respect to ozone consumed. Acetaldehyde, acetone, glycolaldehyde, formic acid and acetic acid were each also detected for two or three of the products. Immediately upon mixing of reactants, a scanning mobility particle sizer detected particle nucleation events that were followed by a significant degree of ultrafine particle growth. The production of secondary gaseous pollutants and particles depended primarily on the ozone level and was influenced by other parameters such as the air-exchange rate. Hydroxyl radical concentrations in the range 0.04-200 × 105 molecules cm-3 were measured. OH concentrations were observed to vary strongly with residual ozone level in the chamber, which was in the range 1 - 25 ppb, as is consistent with expectations from a simplified kinetic model. In a separate test, we exposed the dry residue of two products to ozone in the chamber and observed the formation of gas-phase and particle-phase secondary oxidation products

    442

    Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household  

    NLE Websites -- All DOE Office Websites (Extended Search)

    1: January 5, 1: January 5, 2004 Number of Household Vehicles has Grown Significantly to someone by E-mail Share Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Facebook Tweet about Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Twitter Bookmark Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Google Bookmark Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Delicious Rank Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Digg Find More places to share Vehicle Technologies Office: Fact #301:

    443

    The sources of e-business competitive advantages between travel agencies and online travel service firms in China  

    Science Conference Proceedings (OSTI)

    Knowledge about the most important sources of e-business competitive advantages in the travel industry would help to focus efforts in both academic and practical areas. This study develops a framework based on the resource-based view (RBV) ...

    Zhen Zhu; Jing Zhao

    2011-07-01T23:59:59.000Z

    444

    Exemplifying Business Opportunities for Improving Data Quality From Corporate Household Research  

    E-Print Network (OSTI)

    Corporate household (CHH) refers to the organizational information about the structure within the corporation and a variety of inter-organizational relationships. Knowledge derived from this data is ...

    Madnick, Stuart

    2004-12-10T23:59:59.000Z

    445

    U.S. households forecast to use more heating fuels this ...  

    U.S. Energy Information Administration (EIA)

    What is the role of coal in the United States? ... 2012 U.S. households ... many located in rural areas. Propane inventories totaled almost 76 million ...

    446

    Methodology and Estimation of the Welfare Impact of Energy Reforms on Households in Azerbaijan.  

    E-Print Network (OSTI)

    ??ABSTRACT Title of Dissertation: METHODOLOGY AND ESTIMATION OF THE WELFARE IMPACT OF ENERGY REFORMS ON HOUSEHOLDS IN AZERBAIJAN Irina Klytchnikova, Doctor of Philosophy, 2006 Dissertation… (more)

    Klytchnikova, Irina

    2006-01-01T23:59:59.000Z

    447

    Table CE1-4c. Total Energy Consumption in U.S. Households by Type ...  

    U.S. Energy Information Administration (EIA)

    Total Energy Consumption in U.S. Households by Type of Housing Unit, 2001 RSE Column Factor: Total ... where the end use is electric air-conditioning, ...

    448

    The Other Energy Crisis: Managing Urban Household Energy Use in Senegal  

    E-Print Network (OSTI)

    for 62 percent of national energy consumption, or over 1 .1energy consumption, and (2) residential, because of the dominant role that households play in national

    Leitmann, Josef

    1989-01-01T23:59:59.000Z

    449

    Table HC6.7 Air-Conditioning Usage Indicators by Number of Household...  

    Gasoline and Diesel Fuel Update (EIA)

    7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 Total... 111.1 30.0 34.8 18.4 15.9...

    450

    Table 1. Consumption and Expenditures in U.S. Households, 1997  

    U.S. Energy Information Administration (EIA)

    A household is assigned to a climate zone according to the 30-year average annual degree-days for an appropriate nearby weather station. (5) ...

    451

    In the UNITED STATES there are 96.6 million households  

    U.S. Energy Information Administration (EIA)

    In the UNITED STATES there are 96.6 million households 69% are single-family homes; 25% are apartments; and 6% are mobile homes. Housing stock is ...

    452

    Table 1. Total Energy Consumption in U.S. Households by ...  

    U.S. Energy Information Administration (EIA)

    This write-up presents 1997 Residential Energy Consumption and Expenditures by Origin of Householder. In 1997, there were 101.5 million residential ho ...

    453

    Table CE1-7c. Total Energy Consumption in U.S. Households by Four ...  

    U.S. Energy Information Administration (EIA)

    Other Appliances and Lighting ... It does include the small number of households where the fuel for central air-conditioning equipment was something other than ...

    454

    Household Vehicles Energy Use: Latest Data and Trends - Table A01  

    U.S. Energy Information Administration (EIA)

    Table A1. U.S. Number of Vehicles, Vehicles-Miles, Motor Fuel Consumption and Expenditures, 2001: 2001 Household and Vehicle Characteristics

    455

    The impact of physical planning policy on household energy use and greenhouse emissions .  

    E-Print Network (OSTI)

    ??This thesis investigates the impact of physical planning policy on combined transport and dwelling-related energy use by households. Separate analyses and reviews are conducted into… (more)

    Rickwood, Peter

    456

    Table AP1. Total Households Using Home Appliances and Lighting by ...  

    U.S. Energy Information Administration (EIA)

    Total Consumption for Home Appliances and Lighting by Fuels Used, 2005 Quadrillion British Thermal Units (Btu) U.S. Households (millions) Electricity

    457

    Table 2. Fuel Oil Consumption and Expeditures in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Fuel Oil Consumption and Expeditures in U.S. Households ... Space Heating - Main or Secondary ... Forms EIA-457 A-G of the 2001 Residential Energy Consumption

    458

    Effect of Income on Appliances in U.S. Households, The  

    Reports and Publications (EIA)

    This web page page entails how people live, the factors that cause the most differences in home lifestyle, including energy use in Geographic Location, Socioeconomics and Household Income.

    Michael Laurence

    2004-01-01T23:59:59.000Z

    459

    U.S. household expenditures for gasoline account for nearly 4% of ...  

    U.S. Energy Information Administration (EIA)

    Electricity. Sales, revenue and prices, power plants, fuel use, ... a rise in average gasoline prices has led to higher overall household gasoline expenditures.

    460

    Assessing the Environmental Costs and Benefits of Households Electricity Consumption Management.  

    E-Print Network (OSTI)

    ?? In this study the environmental costs and benefits of smart metering technology systems installed in households in Norway have been assessed. Smart metering technology… (more)

    Segtnan, Ida Lund

    2011-01-01T23:59:59.000Z

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    461

    Material World: Forecasting Household Appliance Ownership in a Growing Global Economy  

    E-Print Network (OSTI)

    and V. Letschert (2005). Forecasting Electricity Demand in8364 Material World: Forecasting Household ApplianceMcNeil, 2008). Forecasting Diffusion Forecasting Variables

    Letschert, Virginie

    2010-01-01T23:59:59.000Z

    462

    An Analysis of the Price Elasticity of Demand for Household Appliances  

    E-Print Network (OSTI)

    Refrigerators Clothes Washers Dishwashers Economic VariablesWASHERS, AND DISHWASHERS……………………………3 Physical Household andclothes washers and dishwashers. In the context of

    Dale, Larry

    2008-01-01T23:59:59.000Z

    463

    Table 3. Total Energy Consumption in U.S. Households by ...  

    U.S. Energy Information Administration (EIA)

    This write-up presents 1997 Residential Energy Consumption and Expenditures by Origin of Householder. In 1997, there were 101.5 million residential ...

    464

    U.S. household expenditures for gasoline account for nearly 4% ...  

    U.S. Energy Information Administration (EIA)

    Gasoline expenditures in 2012 for the average U.S. household reached $2,912, or just under 4% of income before taxes, according to EIA estimates.

    465

    202-328-5000 www.rff.orgA New Look at Residential Electricity Demand Using Household Expenditure Data  

    E-Print Network (OSTI)

    We estimate residential electricity demand for different regions of the country, assuming that consumers respond to average electricity prices. We circumvent the need for individual billing information by developing a novel generalized method of moments approach that allows us to estimate demand based on household electricity expenditure data from the Consumer Expenditure Survey, which does not have quantity and price information. We find that price elasticity estimates vary across the four census regions—the South at –1.02 is the most price-elastic region and the Northeast at –0.82 is the least—and are essentially equivalent across income quartiles. In general, these price elasticity estimates are considerably larger in magnitude than those found in other studies using household-level data that assume that consumers respond to marginal prices. We also apply our elasticity estimates in a U.S. climate policy simulation to determine how these elasticity estimates alter consumption and price outcomes compared to the more conservative elasticity estimates commonly used in policy analysis.

    Harrison Fell; Shanjun Li; Anthony Paul; Harrison Fell; Shanjun Li; Anthony Paul; Monte Carlo Analysis

    2010-01-01T23:59:59.000Z

    466

    Household Electricity Usage Form - U.S. Energy Information ...  

    U.S. Energy Information Administration (EIA)

    2005 Residential Energy Consumption Survey. Sponsored by the Energy Information Administration . U.S. Department of Energy . Washington, DC 20585 . Form EIA-457E ...

    467

    Household Markets for Neighborhood Electric Vehicles in California  

    E-Print Network (OSTI)

    A Statewide ELECTRIC ELECTRIC and VEHICLES: Survey Sandrafor Neighborhood Electric Vehicles. Report prepared for theD. (1994). Future Drive: Electric Vehicles and Sustainable

    Kurani, Kenneth S.; Sperling, Daniel; Lipman, Timothy; Stanger, Deborah; Turrentine, Thomas; Stein, Aram

    2001-01-01T23:59:59.000Z

    468

    Form EIA-457E (2001) -- Household Bottled Gas Usage  

    Annual Energy Outlook 2012 (EIA)

    Fuel Oil or Kerosene Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the...

    469

    Estimating household fuel oil/kerosine, natural gas, and LPG prices by census region  

    SciTech Connect

    The purpose of this research is to estimate individual fuel prices within the residential sector. The data from four US Department of Energy, Energy Information Administration, residential energy consumption surveys were used to estimate the models. For a number of important fuel types - fuel oil, natural gas, and liquefied petroleum gas - the estimation presents a problem because these fuels are not used by all households. Estimates obtained by using only data in which observed fuel prices are present would be biased. A correction for this self-selection bias is needed for estimating prices of these fuels. A literature search identified no past studies on application of the selectivity model for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas. This report describes selectivity models that utilize the Dubin/McFadden correction method for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas in the Northeast, Midwest, South, and West census regions. Statistically significant explanatory variables are identified and discussed in each of the models. This new application of the selectivity model should be of interest to energy policy makers, researchers, and academicians.

    Poyer, D.A.; Teotia, A.P.S.

    1994-08-01T23:59:59.000Z

    470

    Consumption patterns and household hazardous solid waste generation in an urban settlement in Mexico  

    SciTech Connect

    Mexico is currently facing a crisis in the waste management field. Some efforts have just commenced in urban and in rural settlements, e.g., conversion of open dumps into landfills, a relatively small composting culture, and implementation of source separation and plastic recycling strategies. Nonetheless, the high heterogeneity of components in the waste, many of these with hazardous properties, present the municipal collection services with serious problems, due to the risks to the health of the workers and to the impacts to the environment as a result of the inadequate disposition of these wastes. A generation study in the domestic sector was undertaken with the aim of finding out the composition and the generation rate of household hazardous waste (HHW) produced at residences. Simultaneously to the generation study, a socioeconomic survey was applied to determine the influence of income level on the production of HHW. Results from the solid waste generation analysis indicated that approximately 1.6% of the waste stream consists of HHW. Correspondingly, it was estimated that in Morelia, a total amount of 442 ton/day of domestic waste are produced, including 7.1 ton of HHW per day. Furthermore, the overall amount of HHW is not directly related to income level, although particular byproducts do correlate. However, an important difference was observed, as the brands and the presentation sizes of goods and products used in each socioeconomic stratum varied.

    Delgado Otoniel, Buenrostro [Instituto De Investigaciones Agricolas y Forestales, Universidad Michoacana De San Nicolas De Hidalgo, Av. San Juanito Itzicuaro S/N, Col. San Juanito Itzicuaro, C.P. 58330, Morelia-Aeropuerto, Michoacan (Mexico)], E-mail: otonielb@zeus.umich.mx; Liliana, Marquez-Benavides; Gaona Francelia, Pinette [Instituto De Investigaciones Agricolas y Forestales, Universidad Michoacana De San Nicolas De Hidalgo, Av. San Juanito Itzicuaro S/N, Col. San Juanito Itzicuaro, C.P. 58330, Morelia-Aeropuerto, Michoacan (Mexico)

    2008-07-01T23:59:59.000Z

    471

    DOE/EIA-0207/3 Residential Energy Consumption Survey: Conservation  

    U.S. Energy Information Administration (EIA) Indexed Site

    3 3 Residential Energy Consumption Survey: Conservation February 1980 U.S. Department of Energy Energy Information Adminstration Assistant Administrater for Program Development Other NEICS Reports Preliminary Conservation Tables from the National Interim Energy Consumption Survey, August 1979, DOE/EIA-0193/P Characteristics of the Housing Stocks and Households: Preliminary Findings from the National Interim Energy Consumption Survey, October 1979, DOETllA-0199/P The above reports are available from the following address; U.S. Department of Energy Technical Information Center Attn:; EIA Coordinator P.O. Box 62 Oak Ridge, TN 37830 Residential Energy Consumption Survey; Characteristics of the Housing Stock and Households, DOE/EIA-0207/2, GPO Stock No,, 061-003-00093-2; $4.25

    472

    Definition: Telluric Survey | Open Energy Information  

    Open Energy Info (EERE)

    Telluric Survey Telluric Survey Jump to: navigation, search Dictionary.png Telluric Survey Telluric currents, or earth currents, are generated through electromagnetic induction processes due to natural, passive geomagnetic micropulsations. The measurement of telluric currents enables determination of the strata thickness and resistivity profile with depth.[1] View on Wikipedia Wikipedia Definition A telluric current (from Latin tellūs, "earth"), or Earth current, is an electric current which moves underground or through the sea. Telluric currents result from both natural causes and human activity, and the discrete currents interact in a complex pattern. The currents are extremely low frequency and travel over large areas at or near the surface of Earth. References

    473

    Greenhouse Earth: A Traveling Exhibition. Final report, September 1, 1991--August 31, 1992  

    SciTech Connect

    The Franklin Institute Science Museum provided an exhibit entitled the Greenhouse Earth: A Traveling Exhibition. This 3500 square-foot exhibit on global climate change was developed in collaboration with the Association of Science-Technology Centers. The exhibit opened at The Franklin Institute on February 14, 1992, welcoming 291,000 visitors over its three-month stay. During its three-year tour, Greenhouse Earth will travel to ten US cities, reaching two million visitors. Greenhouse Earth aims to deepen public understanding of the scientific issues of global warming and the conservation measures that can be taken to slow its effects. The exhibit features hands-on exhibitry, interactive computer programs and videos, a theater production, a ``demonstration cart,`` guided tours, and lectures. supplemental educational programs at the Institute included a teachers preview, a symposium on climate change, and a ``satellite field trip.`` The development of Greenhouse Earth included front-end and formative evaluation procedures. Evaluation includes interviews with visitors, prototypes, and summative surveys for participating museums. During its stay in Philadelphia, Greenhouse Earth was covered by the local and national press, with reviews in print and broadcast media. Greenhouse Earth is the first large-scale museum exhibit to address global climate change.

    Booth, W.H.; Caesar, S.

    1992-09-01T23:59:59.000Z

    474

    Users and households appliances: design suggestions for a better, sustainable interaction  

    Science Conference Proceedings (OSTI)

    The Human Machine Interaction has a big role in the user approach with households appliances. During the main phase (the use one), users are called to manage energy choices, often without available efficient information regarding the best behavior they ... Keywords: energy saving, households appliances, interaction design, interfaces, sustainability

    Anna Zandanel

    2011-09-01T23:59:59.000Z

    475

    A Comprehensive Model for Evaluation of Carbon Footprint and Greenhouse Gages Emission in Household Biogas Plants  

    Science Conference Proceedings (OSTI)

    Based on Life Cycle Assessment and other related methods, this paper introduced a comprehensive model for the evaluation of the carbon footprint and greenhouse gases emission in household biogas plants including nearly all the processes of the household ... Keywords: Biogas Plant, Carbon Footprint, Life Cycle, Greenhouse Gas

    Jie Zhou; Shubiao Wu; Wanqin Zhang; Changle Pang; Baozhi Wang; Renjie Dong; Li Chen

    2012-07-01T23:59:59.000Z

    476

    An examination of how households share and coordinate the completion of errands  

    Science Conference Proceedings (OSTI)

    People often complete tasks and to-dos not only for themselves but also for others in their household. In this work, we examine how household members share and accomplish errands both individually and together. We conducted a three-week diary study with ... Keywords: cooperative errands, coordination, families, roommates

    Timothy Sohn; Lorikeet Lee; Stephanie Zhang; David Dearman; Khai Truong

    2012-02-01T23:59:59.000Z

    477

    A spotlight on security and privacy risks with future household robots: attacks and lessons  

    Science Conference Proceedings (OSTI)

    Future homes will be populated with large numbers of robots with diverse functionalities, ranging from chore robots to elder care robots to entertainment robots. While household robots will offer numerous benefits, they also have the potential to introduce ... Keywords: cyber-physical systems, domestic robots, household robots, multi-robot attack, privacy, robots, security, single-robot attack, ubiquitous robots

    Tamara Denning; Cynthia Matuszek; Karl Koscher; Joshua R. Smith; Tadayoshi Kohno

    2009-09-01T23:59:59.000Z

    478

    Load Component Database of Household Appliances and Small Office Equipment  

    Science Conference Proceedings (OSTI)

    This paper discusses the development of a load component database for household appliances and office equipment. To develop more accurate load models at both transmission and distribution level, a better understanding on the individual behaviors of home appliances and office equipment under power system voltage and frequency variations becomes more and more critical. Bonneville Power Administration (BPA) has begun a series of voltage and frequency tests against home appliances and office equipments since 2005. Since 2006, Researchers at Pacific Northwest National Laboratory has collaborated with BPA personnel and developed a load component database based on these appliance testing results to facilitate the load model validation work for the Western Electricity Coordinating Council (WECC). In this paper, the testing procedure and testing results are first presented. The load model parameters are then derived and grouped. Recommendations are given for aggregating the individual appliance models to feeder level, the models of which are used for distribution and transmission level studies.

    Lu, Ning; Xie, YuLong; Huang, Zhenyu; Puyleart, Francis; Yang, Steve

    2008-07-24T23:59:59.000Z

    479

    Secretary Chu to Travel to Houston Today | Department of Energy  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    to Travel to Houston Today to Travel to Houston Today Secretary Chu to Travel to Houston Today July 8, 2010 - 12:00am Addthis Washington, D.C. - At the direction of President Obama, as part of the Administration's ongoing oil spill response efforts U.S. Energy Secretary Steven Chu is making his fifth trip to Houston today to continue to help identify strategies for containing the oil and ultimately killing the well. Secretary Chu and his scientific team are coordinating their work with National Incident Commander Admiral Thad Allen, who is leading the administration-wide response and directing all interagency activities. Information on the work that the Secretary, Department of Energy staff and independent scientists have done to date on the oil spill response can be found on DOE's BP Oil Spill page.

    480

    Have You Seen Renewable Energy Projects While Traveling? | Department of  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Seen Renewable Energy Projects While Traveling? Seen Renewable Energy Projects While Traveling? Have You Seen Renewable Energy Projects While Traveling? July 7, 2011 - 8:32am Addthis Since we blog about energy efficiency and renewable energy, it seems fitting that we would notice it even when we're not at work. This past Tuesday, Chris shared his first-hand views of Hawaii's renewable energy efforts while on vacation, including wind and solar, and did some post-vacation research that revealed some great information about how Hawaii is using renewable resources to achieve 70% clean energy by 2030. We're curious: Have you ever been on vacation or a business trip and noticed how another state is using renewable energy? Each Thursday, you have the chance to share your thoughts on a question about energy efficiency or renewable energy for consumers. E-mail your

    Note: This page contains sample records for the topic "household travel survey" from the National Library of EnergyBeta (NLEBeta).
    While these samples are representative of the content of NLEBeta,
    they are not comprehensive nor are they the most current set.
    We encourage you to perform a real-time search of NLEBeta
    to obtain the most current and comprehensive results.


    481

    MONDAY: Secretary Chu Travels to New Jersey and Philadelphia | Department  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    MONDAY: Secretary Chu Travels to New Jersey and Philadelphia MONDAY: Secretary Chu Travels to New Jersey and Philadelphia MONDAY: Secretary Chu Travels to New Jersey and Philadelphia September 24, 2010 - 12:00am Addthis WASHINGTON - On Monday, September 27, 2010, U.S. Energy Secretary Steven Chu and Representative Rush Holt will tour Applied Photovoltaics. With help from a Recovery Act-funded $1.1 million clean energy manufacturing tax credit, Applied Photovoltaics will manufacture solar energy modules for use in building-integrated photovoltaics. In the afternoon, Secretary Chu will tour the Princeton Plasma Physics Laboratory and speak to employees. He will then join Pennsylvania Governor Ed Rendell, Philadelphia Mayor Michael Nutter and other officials in an event highlighting the Energy Innovation Hub for energy-efficient buildings

    482

    Secretary Chu Travels to Memphis | Department of Energy  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Travels to Memphis Travels to Memphis Secretary Chu Travels to Memphis January 31, 2011 - 2:33pm Addthis Ginny Simmons Ginny Simmons Former Managing Editor for Energy.gov, Office of Public Affairs What does this project do? The Sharp solar manufacturing plant has produced more than 2 million solar panels since 2002, increased its staff from 300 to 480 employees over the last year, and produces enough solar paneling to power more than 140,000 homes. Worldwide, FedEx Express is operating 329 hybrid and 19 all-electric vehicles, reducing fuel use by almost 300,000 gallons and carbon dioxide emissions by approximately 3,000 metric tons. Hero_CHU_Sharp Secretary Steven Chu with Sharp executive T.C. Jones, standing in front of some of Sharp's solar panels. Following the State of the Union on Tuesday and his online town hall on

    483

    How Do You Encourage Everyone in Your Household to Save Energy? |  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Do You Encourage Everyone in Your Household to Save Energy? Do You Encourage Everyone in Your Household to Save Energy? How Do You Encourage Everyone in Your Household to Save Energy? June 18, 2009 - 5:25pm Addthis Anyone who has decided to save energy at home knows that the entire household needs to be involved if you really want to see savings. Some people-be they roommates, spouses, children, or maybe even yourself-just seem to need some extra reminders to take simple energy-saving steps. How do you encourage everyone in your household to save energy? Each Thursday, you have the chance to share your thoughts on a topic related to energy efficiency or renewable energy for consumers. Please comment with your answers, and also feel free to respond to other comments. Addthis Related Articles How Have You Helped Someone Else Save Energy?

    484

    How Do You Encourage Everyone in Your Household to Save Energy? |  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    Everyone in Your Household to Save Energy? Everyone in Your Household to Save Energy? How Do You Encourage Everyone in Your Household to Save Energy? June 18, 2009 - 5:25pm Addthis Anyone who has decided to save energy at home knows that the entire household needs to be involved if you really want to see savings. Some people-be they roommates, spouses, children, or maybe even yourself-just seem to need some extra reminders to take simple energy-saving steps. How do you encourage everyone in your household to save energy? Each Thursday, you have the chance to share your thoughts on a topic related to energy efficiency or renewable energy for consumers. Please comment with your answers, and also feel free to respond to other comments. Addthis Related Articles How Have You Helped Someone Else Save Energy?

    485

    Household energy handbook: an interim guide and reference manual. World Bank technical paper  

    SciTech Connect

    A standard framework for measuring and assessing technical information on the household energy sector in developing countries is needed. The handbook is intended as a first step toward creating such a framework. Chapter I discusses energy terms and principles underlying the energy units, definitions, and calculations presented in the following chapters. Chapter II describes household consumption patterns and their relationship to income, location, and household-size variables. Chapter III evaluates energy end uses and the technologies that provide cooking, lighting, refrigeration, and space-heating services. Chapter IV examines household energy resources and supplies, focusing on traditional biomass fuels. Finally, Chapter V demonstrates simple assessment methods and presents case studies to illustrate how household energy data can be used in different types of assessments.

    Leach, G.; Gowen, M.

    1987-01-01T23:59:59.000Z

    486

    JOM Salary Survey - TMS  

    Science Conference Proceedings (OSTI)

    JOM Salary Survey. This survey is currently closed. Please contact the author of this survey for further assistance. Javascript is required for this site to function, ...

    487

    The Department of Energy's Management of Foreign Travel, IG-0872  

    Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

    The Department of Energy's Management of Foreign Travel DOE/IG-0872 October 2012 U.S. Department of Energy Office of Inspector General Office of Audits and Inspections Department of Energy Washington, DC 20585 October 16, 2012 MEMORANDUM FOR THE SECRETARY FROM: Gregory H. Friedman Inspector General SUBJECT: INFORMATION: Management Alert: "The Department of Energy's Management of Foreign Travel" INTRODUCTION The Department of Energy and its workforce of 116,000 Federal and contractor personnel have numerous international exchanges and interactions at different levels and for a variety of important programmatic and other purposes. The Office of Inspector General is currently reviewing the Department's management of international offices and foreign assignments. As

    488

    2012 NERSC User Survey  

    NLE Websites -- All DOE Office Websites (Extended Search)

    Results 2012 User Survey Text 2012 NERSC User Survey Text The 2012 NERSC User Survey is closed. The following is the text of the survey. Section 1: Overall Satisfaction with...

    489

    Household Projection and Its Application to Health/Long-Term Care Expenditures in Japan Using INAHSIM-II  

    Science Conference Proceedings (OSTI)

    Using a microsimulation model named Integrated Analytical Model for Household Simulation (INAHSIM), the author conducted a household projection in Japan for the period of 2010â??2050. INAHSIM-II specifically means that the initial population is ... Keywords: dynamic micro simulation, health expenditure, household projection, initial population, long-term care expenditure, transition probabilities

    Tetsuo Fukawa

    2011-02-01T23:59:59.000Z

    490

    Exact graph search algorithms for generalized traveling salesman path problems  

    Science Conference Proceedings (OSTI)

    The Generalized Traveling Salesman Path Problem (GTSPP) involves finding the shortest path from a location s to a location t that passes through at least one location from each of a set of generalized location categories (e.g., gas stations, ...

    Michael N. Rice; Vassilis J. Tsotras

    2012-06-01T23:59:59.000Z

    491

    Travel Planning Online for Dummies, 2nd edition  

    Science Conference Proceedings (OSTI)

    From the Publisher:Find out how you can quickly and easily book plane tickets, rent a car and find a hotel room -- all with a few clicks of the mouse! Whether you're going on a short business strip or planning your dream vacation, Travel Planning ...

    Noah Vadnai; Julian Smith

    2000-01-01T23:59:59.000Z

    492

    Building robust Reputation Systems for travel-related services  

    Science Conference Proceedings (OSTI)

    There is a serious robust issue of building Reputation Systems for travel-related services, such as hotel, restaurant, etc. This paper proposes an advanced clustering approach, Suspicion Degree Meter (SDM), to rank suspects with respect to manipulative ... Keywords: Silicon,Indexes,Robustness,Analytical models,Feature extraction,Buildings,Context

    Huiying Duan; Peng Yang

    2012-07-01T23:59:59.000Z

    493

    Comparison of heuristics for the colourful travelling salesman problem  

    Science Conference Proceedings (OSTI)

    In the colourful travelling salesman problem CTSP, given a graph G with a not necessarily distinct label colour assigned to each edge, a Hamiltonian tour with the minimum number of different labels is sought. The problem is a variant of the well-known ...

    J. Silberholz; A. Raiconi; R. Cerulli; M. Gentili; B. Golden; S. Chen

    2013-05-01T23:59:59.000Z

    494

    Residential Energy Consumption Survey (RECS) - Analysis & Projections -  

    Gasoline and Diesel Fuel Update (EIA)

    About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy demand April 19, 2012 Did you know that air conditioning is in nearly 100 million U.S. home