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Sample records for household vehicle-miles traveled

  1. Fact #616: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy 6: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose Fact #616: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose In 2009, getting to and from work accounted for about 27% of household vehicle-miles of travel (VMT). Work-related business was 8.4% of VMT in 2001, but declined to 6.7% in 2009, possibly due to advancements in computing technology making it possible for more business to be handled electronically. VMT for shopping was almost

  2. Chapter 3. Vehicle-Miles Traveled

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

    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...

  3. Petroleum Reduction Strategies to Reduce Vehicle Miles Traveled

    Broader source: Energy.gov [DOE]

    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.

  4. Fact #640: September 13, 2010 Monthly Trends in Vehicle Miles of Travel

    Broader source: Energy.gov [DOE]

    Vehicle travel in the U.S. varies by month. There are many reasons for this, including the fact that some months are shorter than others. The vehicle miles of travel (VMT) recorded in February is...

  5. Fact #902: December 7, 2015 Rural versus Urban Vehicle Miles of Travel by

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    State | Department of Energy 2: December 7, 2015 Rural versus Urban Vehicle Miles of Travel by State Fact #902: December 7, 2015 Rural versus Urban Vehicle Miles of Travel by State SUBSCRIBE to the Fact of the Week In the United States, the U.S. Department of Transportation classifies 3.9 million miles of roadway as rural and 1.2 million miles of roadway as urban. Each state has a different travel pattern affecting the proportion of vehicle miles traveled (VMT) on rural versus urban roads.

  6. Fact #902: December 7, 2015 Rural versus Urban Vehicle Miles of Travel by

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    State - Dataset | Department of Energy 2: December 7, 2015 Rural versus Urban Vehicle Miles of Travel by State - Dataset Fact #902: December 7, 2015 Rural versus Urban Vehicle Miles of Travel by State - Dataset Excel file and dataset for Rural versus Urban Vehicle Miles of Travel by State fotw#902_web.xlsx (177.48 KB) More Documents & Publications Fact #904: December 21, 2015 Gross Domestic Product and Vehicle Travel: Both Increased during 2015 - Dataset Fact #906: January 4, 2016 VMT

  7. Fact #552: January 5, 2009 Vehicle Miles of Travel by Region | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy 2: January 5, 2009 Vehicle Miles of Travel by Region Fact #552: January 5, 2009 Vehicle Miles of Travel by Region Total vehicle miles of travel (VMT) in the U.S. have declined from 2007 to 2008. The latest data available, September 2008, shows a 4.4% decline in travel that varies by region. Comparing September 2007 to September 2008, the South Atlantic and South Gulf regions experienced VMT declines of more than 5%. Total U.S. cumulative VMT for 2008 (January-September) is 3.5%

  8. Fact #903: December 14, 2015 Vehicle Miles of Travel is up in 2015 -

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Dataset | Department of Energy 3: December 14, 2015 Vehicle Miles of Travel is up in 2015 - Dataset Fact #903: December 14, 2015 Vehicle Miles of Travel is up in 2015 - Dataset Excel file and dataset for Vehicle Miles of Travel is up in 2015 fotw#903_web.xlsx (17.31 KB) More Documents & Publications Project Reports for Salish and Kootenai Tribes, Confederated Tribes of the Flathead Reservation: S&K Holding Company - 2004 Project 2015 GTO Peer Review Fact #926: May 23, 2016 Petroleum

  9. Fact #860 February 16, 2015 Relationship of Vehicle Miles of Travel and the

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Price of Gasoline - Dataset | Department of Energy 0 February 16, 2015 Relationship of Vehicle Miles of Travel and the Price of Gasoline - Dataset Fact #860 February 16, 2015 Relationship of Vehicle Miles of Travel and the Price of Gasoline - Dataset Excel file and dataset for Relationship of Vehicle Miles of Travel and the Price of Gasoline fotw#860_web.xlsx (30.54 KB) More Documents & Publications Fact #906: January 4, 2016 VMT and the Price of Gasoline Typically Move in Opposition -

  10. Fact #903: December 14, 2015 Vehicle Miles of Travel is up in...

    Broader source: Energy.gov (indexed) [DOE]

    Vehicle Miles of Travel is up in 2015 fotw903web.xlsx (17.31 KB) More Documents & Publications Project Reports for Salish and Kootenai Tribes, Confederated Tribes of the Flathead ...

  11. Table 5.9. U.S. Average Vehicle-Miles Traveled by Family Income...

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

    1993 Household Characteristics RSE Column Factor: Total 1993 Family Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factor: Less than 5,000 5,000...

  12. Registrations and vehicle miles of travel of light duty vehicles, 1985--1995

    SciTech Connect (OSTI)

    Hu, P.S.; Davis, S.C.; Schmoyer, R.L.

    1998-02-01

    To obtain vehicle registration data that consistently and accurately reflect the distinction between automobiles and light-duty trucks, Oak Ridge National Laboratory (ORNL) was asked by FHWA to estimate the current and historical vehicle registration numbers of automobiles and of other two-axle four-tire vehicles (i.e., light-duty trucks), and their associated travel. The term automobile is synonymous with passenger car. Passenger cars are defined as all sedans, coupes, and station wagons manufactured primarily for the purpose of carrying passengers. This includes taxicabs, rental cars, and ambulances and hearses on an automobile chassis. Light-duty trucks refer to all two-axle four-tire vehicles other than passenger cars. They include pickup trucks, panel trucks, delivery and passenger vans, and other vehicles such as campers, motor homes, ambulances on a truck chassis, hearses on a truck chassis, and carryalls. In this study, light-duty trucks include four major types: (1) pickup truck, (2) van, (3) sport utility vehicle, and (4) other 2-axle 4-tire truck. Specifically, this project re-estimates statistics that appeared in Tables MV-1 and MV-9 of the 1995 Highway Statistics. Given the complexity of the approach developed in this effort and the incompleteness and inconsistency of the state-submitted data, it is recommended that alternatives be considered by FHWA to obtain vehicle registration data. One alternative is the Polk`s NVPP data (via the US Department of Transportation`s annual subscription to Polk). The second alternative is to obtain raw registration files from individual states` Departments of Motor Vehicles and to decode individual VINs.

  13. Fact #860 February 16, 2015 Relationship of Vehicle Miles of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Excel file and dataset for Relationship of Vehicle Miles of Travel and the Price of ... Move in Opposition - Dataset 2012 Data File 2013 Wind Technologies Market Report Data

  14. Table 5.2. U.S. per Household Vehicle-Miles Traveled, Vehicle...

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

    75,000 or More ... 8.2 2.3 28.5 1,443 1,692 5.2 Below Poverty Line 100 Percent ... 9.0 1.4 14.7 769 890 7.3 125...

  15. Table 5.12. U.S. Average Vehicle-Miles Traveled by Household...

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

    ... 30.8 25.1 28.9 42.6 27.1 Q Q Q 25.2 31.8 23.3 13.7 Below Poverty Line 100 Percent ... 16.6 15.4 16.2 19.5 12.8 Q...

  16. Vehicle Technologies Office Merit Review 2015: Electric Vehicle Mile

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Traveled (eVMT): On-road Results and Analysis | Department of Energy Electric Vehicle Mile Traveled (eVMT): On-road Results and Analysis Vehicle Technologies Office Merit Review 2015: Electric Vehicle Mile Traveled (eVMT): On-road Results and Analysis Presentation given by Idaho National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation meeting about Electric Vehicle Mile Traveled (eVMT): on-road results and

  17. Household Vehicles Energy Consumption 1991

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

    16.8 17.4 18.6 18.9 1.7 2.2 0.6 1.5 Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 15 Vehicle Miles Traveled per Vehicle (Thousand) . . . . . . . . ....

  18. Table 5.1. U.S. Number of Vehicles, Vehicle-Miles, Motor Fuel...

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

    Energy Information AdministrationHousehold Vehicles Energy Consumption 1994 43 Table 5.1. U.S. Number of Vehicles, Vehicle-Miles, Motor Fuel Consumption and Expenditures, 1994...

  19. Table 5.1. U.S. Number of Vehicles, Vehicle-Miles, Motor Fuel...

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

    Table 5.1. U.S. Number of Vehicles, Vehicle-Miles, Motor Fuel Consumption and Expenditures, 1994 (Continued) 1993 Household and 1994 Vehicle Characteristics RSE Column Factor:...

  20. Transferring 2001 National Household Travel Survey

    SciTech Connect (OSTI)

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

    2007-05-01

    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

  1. New York Household Travel Patterns: A Comparison Analysis

    SciTech Connect (OSTI)

    Hu, Patricia S; Reuscher, Tim

    2007-05-01

    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

  2. Fact #729: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy 9: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles Fact #729: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles When a household has more than one vehicle, the secondary vehicles travel fewer miles than the primary vehicle. In a two-vehicle household, the second vehicle travels less than half of the miles that the primary vehicle travels in a day. In a six-vehicle household, the sixth vehicle travels fewer than five miles a day. Daily Vehicle

  3. Fact #860 February 16, 2015 Relationship of Vehicle Miles of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    one year to the next (i.e., February 2001 data were compared with February 2000 data). ... 3-month moving average Month-Year Gas price change from previous year Vehicle travel ...

  4. Household vehicles energy consumption 1994

    SciTech Connect (OSTI)

    1997-08-01

    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.

  5. Table 5.13. U.S. Average Vehicle-Miles Traveled by Vehicle Fuel

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

    More ... 12.3 Q Q 11.4 10.8 12.8 13.9 12.7 Q 10.7 Below Poverty Line 100 Percent ... 10.7 Q Q 8.8 10.2 10.9 12.0...

  6. Table 5.15. U.S. Average Vehicle-Miles Traveled by Vehicle

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

    ... 12.3 11.8 11.8 12.5 13.5 13.2 Q 13.3 Q 11.9 Below Poverty Line 100 Percent ... 10.7 10.8 10.8 11.9 Q Q Q...

  7. Table 5.3. U.S. per Vehicle Miles Traveled, Vehicle Fuel Consumption...

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

    3.0 75,000 or More ... 19.1 12.3 620 727 19.8 4.2 Below Poverty Line 100 Percent ... 12.4 10.7 558 647 19.2 6.8...

  8. Electric Vehicle Mile Traveled (eVMT): On-road Results and Analysis

    Broader source: Energy.gov (indexed) [DOE]

    June 9, 2015 Project ID VSS171 2015 DOE Vehicle Technologies Program Annual Merit Review INLMIS-15-34807 This presentation does not contain any proprietary, confidential, or ...

  9. Fact #670: April 11, 2011 Vehicle-Miles of Travel Rises in 2010...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2.75 1980 1.53 2001 2.79 1981 1.56 2002 2.86 1982 1.60 2003 2.89 1983 1.65 2004 2.96 1984 1.72 2005 2.99 1985 1.77 2006 3.01 1986 1.83 2007 3.03 1987 1.92 2008 2.97 1988 2.03 ...

  10. Fact #860 February 16, 2015 Relationship of Vehicle Miles of Travel and the Price of Gasoline

    Broader source: Energy.gov [DOE]

    The prices of gasoline and diesel fuel affect the transportation sector in many ways. For example, fuel prices can impact the number of miles driven and affect the choices consumers make when...

  11. Fact #903: December 14, 2015 Vehicle Miles of Travel is up in...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    and January typically has the lowest daily VMT. A combination of high gas prices and the Great Recession were the likely causes for 2008 VMT being the lowest in the time series. ...

  12. Fact #698: October 24, 2011 Changes in the Federal Highway Administrat...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... from the 2001 National Household Travel Survey (NHTS); For heavy trucks, 1 motor vehicle miles traveled 1 person-miles traveled. 7 Total fuel consumption figures are from ...

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

    SciTech Connect (OSTI)

    Hwang, Ho-Ling; Reuscher, Tim; Wilson, Daniel W; Murakami, Elaine

    2013-01-01

    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.

  14. Light-Duty Vehicle Energy Demand, Demographics, and Travel Behavior

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

    EIA Conference July 15, 2014 | Washington, DC By Trisha Hutchins, Office of Energy Consumption and Efficiency Analysis Light-duty vehicle energy demand, demographics, and travel behavior Examining changes in light-duty vehicle travel trends 2 EIA Conference: Light-duty vehicle energy demand, demographics, and travel behavior July 15, 2014 * Recent data indicate possible structural shift in travel behavior, measured as vehicle miles traveled (VMT) - VMT per licensed driver, vehicles per capita,

  15. Microsoft Word - 20050821_Appendix_A.doc

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

    A9. U.S. Average Vehicle-Miles Traveled by Family Income and Poverty Status, 2001 (Thousand Miles per Household) ENERGY INFORMATION ADMINISTRATION HOUSEHOLD VEHICLES ENERGY USE:...

  16. Analysis of plug-in hybrid electric vehicles' utility factors using GPS-based longitudinal travel data

    SciTech Connect (OSTI)

    Wu, Xing; Aviquzzaman, Md.; Lin, Zhenhong

    2015-05-29

    The benefit of using a PHEV comes from its ability to substitute gasoline with electricity in operation. Defined as the proportion of distance traveled in the electric mode, the utility factor (UF) depends mostly on the battery capacity, but also on many other factors, such as travel pattern and recharging pattern. Conventionally, the UFs are calculated based on the daily vehicle miles traveled (DVMT) by assuming motorists leave home in the morning with a full battery, and no charge occurs before returning home in the evening. Such an assumption, however, ignores the impact of the heterogeneity in both travel and charging behavior, such as going back home more than once in a day, the impact of available charging time, and the price of gasoline. In addition, the conventional UFs are based on the National Household Travel Survey (NHTS) data, which are one-day travel data of each sample vehicle. A motorist's daily distance variation is ignored. This paper employs the GPS-based longitudinal travel data (covering 3-18 months) collected from 403 vehicles in the Seattle metropolitan area to investigate how such travel and charging behavior affects UFs. To do this, for each vehicle, we organized trips to a series of home and work related tours. The UFs based on the DVMT are found close to those based on home-to-home tours. However, it is seen that the workplace charge opportunities significantly increase UFs if the CD range is no more than 40 miles.

  17. Analysis of plug-in hybrid electric vehicles' utility factors using GPS-based longitudinal travel data

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wu, Xing; Aviquzzaman, Md.; Lin, Zhenhong

    2015-05-29

    The benefit of using a PHEV comes from its ability to substitute gasoline with electricity in operation. Defined as the proportion of distance traveled in the electric mode, the utility factor (UF) depends mostly on the battery capacity, but also on many other factors, such as travel pattern and recharging pattern. Conventionally, the UFs are calculated based on the daily vehicle miles traveled (DVMT) by assuming motorists leave home in the morning with a full battery, and no charge occurs before returning home in the evening. Such an assumption, however, ignores the impact of the heterogeneity in both travel andmore » charging behavior, such as going back home more than once in a day, the impact of available charging time, and the price of gasoline. In addition, the conventional UFs are based on the National Household Travel Survey (NHTS) data, which are one-day travel data of each sample vehicle. A motorist's daily distance variation is ignored. This paper employs the GPS-based longitudinal travel data (covering 3-18 months) collected from 403 vehicles in the Seattle metropolitan area to investigate how such travel and charging behavior affects UFs. To do this, for each vehicle, we organized trips to a series of home and work related tours. The UFs based on the DVMT are found close to those based on home-to-home tours. However, it is seen that the workplace charge opportunities significantly increase UFs if the CD range is no more than 40 miles.« less

  18. Fact# 904: December 21, 2015 Gross Domestic Product and Vehicle Travel:

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Both Increased during 2015 | Department of Energy 4: December 21, 2015 Gross Domestic Product and Vehicle Travel: Both Increased during 2015 Fact# 904: December 21, 2015 Gross Domestic Product and Vehicle Travel: Both Increased during 2015 SUBSCRIBE to the Fact of the Week The nation's highway vehicle miles of travel (VMT) and the U.S. gross domestic product (GDP) reflect strikingly similar patterns, indicating the strong relationship between the nation's economy and its travel. Beginning in

  19. " East North Central",198,216,263,296,335,385

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

    Vehicle-Miles Traveled, Selected Survey Years (Billions) " ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",1215,1353,1511,1602,1793,2287 "Household Characteristics" "Census...

  20. Fact #566: April 13, 2009 Vehicle Travel and the Price of Gasoline |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy 6: April 13, 2009 Vehicle Travel and the Price of Gasoline Fact #566: April 13, 2009 Vehicle Travel and the Price of Gasoline The price of gasoline is one factor that can have an effect on the number of highway vehicle miles traveled (VMT). The graph below shows a three-month moving average of the percentage change of monthly data from one year to the next (i.e., February 2001 data were compared with February 2000 data). In 2008, when gasoline prices were 20-30% higher,

  1. Fact #584: August 17, 2009 The Price of Gasoline and Vehicle Travel: How Do

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    They Relate? | Department of Energy 4: August 17, 2009 The Price of Gasoline and Vehicle Travel: How Do They Relate? Fact #584: August 17, 2009 The Price of Gasoline and Vehicle Travel: How Do They Relate? The price of gasoline is one factor that can have an effect on the number of highway vehicle miles traveled (VMT). The graph below shows a three-month moving average of the percentage change of monthly data from one year to the next (i.e., February 2001 data were compared with February

  2. U.S. Department of Energy, Energy Information Administration...

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

    VMT by Income","Table A9. U.S. Average Vehicle-Miles Traveled by Family Income and Poverty Status, 2001 (Thousand Miles per Household)" "Std Errors for A9","Relative Standard...

  3. Describing Current & Potential Markets for Alternative-Fuel Vehicles

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

    Provider Fleet Vehicles Fleet Vehicle Miles Traveled Propane Provider Survey In the analysis of annual vehicle miles traveled, the diesel vehicles tended to stand out. On...

  4. Interview Travel

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Interview Travel Interview Travel Travel preapproval and reimbursement process information for invited Laboratory job interviewees. Contact Travel Reservations (505) 667-1692 Email Student Travel (505) 667-5859 Interview travel process Interview travel will be reimbursed only when a Laboratory organization has invited a candidate to come to the Laboratory to interview for a specific job and the following process is used. Eligible expenses are paid post-interview only. Before beginning, review

  5. Travel Reimbursement

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Travel Reimbursement Travel Reimbursement Travel preapproval and reimbursement process information for interviewees, students, and relocations including new regular hires, term assignment hires, post-doctoral or advance study employees, and long-term visiting staff members. Interview Travel» Graduate, Undergraduate Travel» Relocation Travel» Guest Travel» TOP STORIES - highlights of our science, people, technologies close Rio Arriba Leadership Summit addresses challenges, opportunities

  6. Connected Traveler

    SciTech Connect (OSTI)

    Schroeder, Alex

    2015-11-01

    The Connected Traveler project is a multi-disciplinary undertaking that seeks to validate potential for transformative transportation system energy savings by incentivizing efficient traveler behavior. This poster outlines various aspects of the Connected Traveler project, including market opportunity, understanding traveler behavior and decision-making, automation and connectivity, and a projected timeline for Connected Traveler's key milestones.

  7. Relocation Travel

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Relocation Travel Relocation Travel Travel reimbursement process information for relocations including new regular hires, term assignment hires, post-doctoral or advance study employees, and long-term visiting staff members. Contact Gloria Salazar Relocation Office (505) 665-4484 Email Sher Robinson (505) 665-8529 Relocation travel process Reimbursement for travel includes new regular hires, term assignment hires, post-doctoral or advance study employees, and long-term visiting staff members.

  8. Household magnets

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Household magnets Chances are very good that you have experimented with magnets. People have been fascinated with magnetism for thousands of years. As familiar to us as they may be, magnets still have some surprises for us. Here is a small collection of some of our favorite magnet experiments. What happens when we break a magnet in half? Radio Shack sells cheap ceramic magnets in several shapes. Get a ring shaped magnet and break it with pliers or a tap with a hammer. Try to put it back

  9. Guest Travel

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    group office for reimbursement.) Guest makes reservations for airline, rental car, and hotel, in accordance with Laboratory travel regulations. After guest returns Visitor...

  10. EIA - Household Transportation report: Household Vehicles Energy...

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

    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....

  11. Travel | The Ames Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Travel Travel The Office of Travel Management serves as the Department's POC for the following services: Headquarters Travel Management Center (TMC) Official Travel, Domestic and Foreign 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) Car Rental Hotel Reservations Travel FAQs For questions about Travel Services or the

  12. JLab Travelers and Travel Coordinators: Effective Immediately...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    information could result in denial of country clearance and jeopardize future travel. ... All FTMS Travel Requisitions and Electronic Country Clearance (eCC) requests must be ...

  13. Fact #902: December 7, 2015 Rural versus Urban Vehicle Miles...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Montana 69.3% 30.7% 12,033 Nebraska 58.1% 41.9% 19,322 Nevada 20.3% 79.7% 24,649 New Hampshire 39.3% 60.7% 12,903 New Jersey 6.1% 93.9% 74,530 New Mexico 57.3% 42.7% 25,086 New ...

  14. Graduate, Undergraduate Student Travel

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Graduate, Undergraduate Travel Graduate, Undergraduate Student Travel Travel reimbursement process information for participants in the Graduate Research Assistant (GRA) and Undergraduate Student (UGS) programs Contact Travel Reservations (505) 667-1692 Email Student Travel (505) 667-5859 Email Graduate, undergraduate student travel process Travel by employees who participate in the Graduate Research Assistant (GRA) and Undergraduate Student (UGS) programs will be reimbursed only when the

  15. On-Line Travel Reservations through "Concur Travel" | The Ames...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    them as a travel administrator. Travel will not be booked on Concur Travel until Ames Lab Travel Worksheet has been received and reviewed by the Travel Office. Concur Travel is...

  16. Relocation Travel FAQs Travel/Moving FAQs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Relocation Travel FAQs Travel/Moving FAQs When may I begin making travel and moving arrangements? No arrangements should be made prior to receiving a written offer of employment from Human Resources (HR) Division. The written offer letter is the official offer. The offer of employment must be accepted in writing (a signature on the offer letter) and returned to the Laboratory before making any travel or moving arrangements. How will I receive the relocation information? The relocation

  17. Cost Analysis of Plug-In Hybred Electric Vehicles Using GPS-Based Longitudinal Travel Data

    SciTech Connect (OSTI)

    Wu, Xing; Dong, Jing; Lin, Zhenhong

    2014-01-01

    Using spatial, longitudinal travel data of 415 vehicles over 3 18 months in the Seattle metropolitan area, this paper estimates the operating costs of plug-in hybrid electric vehicles (PHEVs) of various electric ranges (10, 20, 30, and 40 miles) for 3, 5, and 10 years of payback period, considering different charging infrastructure deployment levels and gasoline prices. Some key findings were made. (1) PHEVs could help save around 60% or 40% in energy costs, compared with conventional gasoline vehicles (CGVs) or hybrid electric vehicles (HEVs), respectively. However, for motorists whose daily vehicle miles traveled (DVMT) is significant, HEVs may be even a better choice than PHEV40s, particularly in areas that lack a public charging infrastructure. (2) The incremental battery cost of large-battery PHEVs is difficult to justify based on the incremental savings of PHEVs operating costs unless a subsidy is offered for largebattery PHEVs. (3) When the price of gasoline increases from $4/gallon to $5/gallon, the number of drivers who benefit from a larger battery increases significantly. (4) Although quick chargers can reduce charging time, they contribute little to energy cost savings for PHEVs, as opposed to Level-II chargers.

  18. 2001 New York State NHTS: Travel Patterns of Special Populations

    SciTech Connect (OSTI)

    Hu, Patricia S; Reuscher, Tim

    2010-03-01

    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

  19. Minority Transportation Expenditure Allocation Model

    Energy Science and Technology Software Center (OSTI)

    1993-04-12

    MITRAM (Minority TRansportation expenditure Allocation Model) can project various transportation related attributes of minority (Black and Hispanic) and majority (white) populations. The model projects vehicle ownership, vehicle miles of travel, workers, new car and on-road fleet fuel economy, amount and share of household income spent on gasoline, and household expenditures on public transportation and taxis. MITRAM predicts reactions to sustained fuel price changes for up to 10 years after the change.

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

    SciTech Connect (OSTI)

    Henson, Kriste M; Gou; ias, Konstadinos G

    2010-11-30

    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.

  1. appl_household2001.pdf

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

    Appliances Tables (Million U.S. Households; 60 pages, 240 kb) Contents Pages HC5-1a. Appliances by Climate Zone, Million U.S. Households, 2001 5 HC5-2a. Appliances by Year of Construction, Million U.S. Households, 2001 5 HC5-3a. Appliances by Household Income, Million U.S. Households, 2001 5 HC5-4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 5 HC5-5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 5 HC5-6a. Appliances by Type of Rented

  2. Travel Requirements - ITER (June 2014

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Travel Requirements - ITER (June 2014) Prior to any travel under this subcontract, the ... approval, with a copy to the identified US ITER Project Office Travel Administrative ...

  3. Travel Policy | The Ames Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Policy Travel Policy Travel Policy for Contractor Personnel Travel Policy Changes October 1, 2009 Per Diem Adjustments for Meals Memo or EXAMPLE...

  4. Travel Policy and Procedures

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2002-09-04

    To supplement the Federal Travel Regulation (41 CFR, Parts 300-304), the principal source of policy for Federal employee travel and relocation matters, and to establish DOE M 552.1-1, U.S. Department of Energy Travel Manual, dated 09-04-02, as the repository for supplementary travel requirements information for the Department of Energy (DOE). Cancels DOE 1500.2A and DOE 1500.4A. Canceled by DOE O 552.1A.

  5. Travel Policy and Procedures

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2006-02-17

    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, U.S. Department of Energy Travel Manual, dated 2-17-06, as the DOE repository for supplementary travel requirements information. Cancels DOE O 552.1-1. Canceled by DOE O 552.1A Admin Chg 1.

  6. Travel Policy and Procedures

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2006-02-17

    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, U.S. Department of Energy Travel Manual, dated 2-17-06, as the repository for supplementary travel requirements information. Supersedes DOE O 552.1. Admin Chg 1, dated 10-1-08, supersedes DOE O 552.1A.

  7. housingunit_household2001.pdf

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  8. appl_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  9. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  10. spaceheat_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  11. JLab Travelers and Travel Coordinators: Effective Immediately - Critical

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    new requirements for all travel to or passing through France | Jefferson Lab Travelers and Travel Coordinators: Effective Immediately - Critical new requirements for all travel to or passing through France JLab Travelers and Travel Coordinators: Effective Immediately - Critical new requirements for all travel to or passing through France Due to increased security levels in France, it is critical for the U.S. State Department / Embassy of Paris to have the ability to quickly and directly

  12. Smart Growth Resources

    Broader source: Energy.gov [DOE]

    Transportation efficiency reduces travel demand as measured by vehicle miles traveled (VMT). While transportation efficiency policies are often implemented under local governments, national and...

  13. LEDSGP/Transportation Toolkit/Key Actions/Create a Baseline ...

    Open Energy Info (EERE)

    with location, private motorized vehicle ownership by type, vehicle miles traveled per capita, non-motorized transport, and travel patterns Supply of transport infrastructure...

  14. Official Foreign Travel

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2002-11-08

    To establish Department of Energy (DOE) and National Nuclear Security Administration (NNSA) requirements and responsibilities governing official foreign travel by Federal and contractor employees. The Page Change 1 to the CRD issued 11-8-02, will expand the requirements for country clearance for contractors to include all official foreign travel, including travel to nonsensitive countries. Cancels DOE O 551.1. Canceled by DOE O 551.1B.

  15. Official Foreign Travel

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2008-06-24

    The Order sets forth requirements and responsibilities governing official foreign travel by Federal and contractor employees. Cancels DOE O 551.1B.

  16. Official Foreign Travel

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2012-04-12

    The order establishes requirements and responsibilities governing official foreign travel by Federal and contractor employees. Cancels DOE O 551.1C.

  17. Official Foreign Travel

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2012-04-02

    The order establishes DOE requirements and responsibilities governing official foreign travel by Federal and contractor employees. The Pg Chg removes the requirement to surrender official passports and replaces it with a process that requires travelers be responsible for safeguarding theirown official passports. Supersedes DOE O 551.1D, dated 4-12-12.

  18. Official Foreign Travel

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2012-04-02

    The order establishes DOE requirements and responsibilities governing official foreign travel by Federal and contractor employees. The proposed revisions to the Official Foreign Travel Order align it with established leave policy and update organizational responsibilities. Supersedes DOE O 551.1D Chg 1 (Pg Chg).

  19. Household Vehicles Energy Consumption 1991

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

    or commercial trucks (See Table 1). Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 5 The 1991 RTECS count includes vehicles that were owned or used...

  20. Household Vehicles Energy Consumption 1991

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

    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...

  1. Accounting Techinican (Travel Duties)

    Broader source: Energy.gov [DOE]

    This position may be filled either at Morgantown, WV or Pittsburgh, PA. A successful candidate in this position will provide technical accounting support to the travel program at the National...

  2. Traveling-wave photodetector

    DOE Patents [OSTI]

    Hietala, Vincent M.; Vawter, Gregory A.

    1993-01-01

    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.

  3. Traveling-wave photodetector

    DOE Patents [OSTI]

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

    1993-12-14

    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.

  4. Official Foreign Travel

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2000-08-25

    To establish Department of Energy (DOE) and National Nuclear Security Administration (NNSA) requirements and responsibilities governing official foreign travel by Federal and contractor employees. Cancels DOE O 551.1. Canceled by DOE O 551.1B.

  5. Official Foreign Travel

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2003-08-19

    To establish Department of Energy (DOE) and National Nuclear Security Administration (NNSA) requirements and responsibilities governing official foreign travel by Federal and contractor employees. Cancels DOE O 551.1A. Canceled by DOE O 551.1C.

  6. Official Foreign Travel

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2000-01-31

    Establishes Department of Energy (DOE) requirements and responsibilities governing official foreign travel by Federal and contract employees. Cancels DOE O 1500.3. Canceled by DOE O 551.1A.

  7. Accounting Technician (Travel Duties)

    Broader source: Energy.gov [DOE]

    This position may be filled either at Morgantown, WV or Pittsburgh, PA. A successful candidate in this position will provide technical accounting support to the travel program at the National...

  8. Next Generation Household Refrigerator | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Next Generation Household Refrigerator Next Generation Household Refrigerator Embraco's high efficiency, oil-free linear compressor.
    Credit: Whirlpool Embraco's high ...

  9. Household Vehicles Energy Use Cover Page

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

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

  10. Strategies for Collecting Household Energy Data | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Collecting Household Energy Data Strategies for Collecting Household Energy Data Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for ...

  11. ac_household2001.pdf

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

    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

  12. ac_household2001.pdf

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

    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

  13. ac_household2001.pdf

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

    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 Census Division Mountain Pacific 0.4 1.2 1.7 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 10.7 3.4 7.2 7.1 Air Conditioners Not Used ........................... 2.1 1.1 0.2 0.9 15.5 Households Using Electric Air-Conditioning 1 ........................................ 80.8 9.6 3.2

  14. ac_household2001.pdf

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

    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

  15. ac_household2001.pdf

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

    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

  16. ac_household2001.pdf

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

    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

  17. homeoffice_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... 29.1 5.3 22.7 3.8 1 Below 150 percent of poverty line or 60 percent of median State ...

  18. char_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... Income Relative to Poverty Line Below 100 Percent ...... 15.0 13.2 1.8 Q ...

  19. char_household2001.pdf

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Contact: Stephanie J. Battles, Survey Manager (stephanie.battles@eia.doe.gov) World Wide Web: http:www.eia.doe.govemeuconsumption Table HC2-1a. Household Characteristics by ...

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

    Gasoline and Diesel Fuel Update (EIA)

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

  1. Reporting Unofficial Foreign Travel

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2000-12-15

    Establishes requirements for the reporting of unofficial travel to foreign countries by DOE and DOE contractor employees that hold an access authorization (personnel security clearances). DOE N 251.40, dated 5/3/01, extended this directive until 12/31/01.

  2. EERE Success Story-Thurston Regional Planning Council HelpsWashington...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    (e.g., environmental concerns, sustainability, rising fuel costs, and the increase in childhood obesity); and reduce greenhouse gases, carbon footprint, and vehicle miles traveled. ...

  3. Driving/Idling Resources

    Broader source: Energy.gov [DOE]

    While transportation efficiency policies are often implemented under local governments, national and state programs can play supportive roles in reducing vehicle miles traveled. Find driving/idling...

  4. Thurston Regional Planning Council Helps Washingtonians Save...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    (e.g., environmental concerns, sustainability, rising fuel costs, and the increase in childhood obesity); and reduce greenhouse gases, carbon footprint, and vehicle miles traveled. ...

  5. Alternative Fuels Data Center: Multi-Modal Transportation

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Commuter Rewards - a program from the Clean Air Campaign at Georgia College that rewards ... to reduce vehicle miles traveled and pollution to encourage employees to use ...

  6. ac_household2001.pdf

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

    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

  7. ac_household2001.pdf

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

    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

  8. ac_household2001.pdf

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

    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

  9. Travel Resources | The Ames Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Resources Airline Baggage Policies Amtrak Argonne Guest House Association of Corporate Travel Executives Database of hotels that meet fire safety code GSA Per Diem Rates Iowa Road Work ISU - Office Procedure Guide - Travel Policies Map Quest Atlas National Business Travel Association Weather Channel Web Flyer

  10. homeoffice_household2001.pdf

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

    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

  11. homeoffice_household2001.pdf

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

    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

  12. homeoffice_household2001.pdf

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

    2a. Home Office Equipment by West Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.6 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Households Using Office Equipment ......................................... 96.2 21.4 6.2 15.2 1.0 Personal Computers 1 ................................. 60.0 14.3 4.0 10.4 3.7 Number of

  13. homeoffice_household2001.pdf

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

    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

  14. travel-demand-modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Travel Demand Modeling for a Small sized MPO Using TRANSIMS Mohammad Sharif Ullah Champaign County Regional Planning Commission 1776 E Washington Street, Urbana, IL 61802 Phone: 217 328 3313 Ext 124 Email: This email address is being protected from spambots. You need JavaScript enabled to view it. List of Authors ================ Mohammad Sharif Ullah, Senior Transportation Engineer, CCRPC, Urbana, IL Asadur Rahman, PhD student, IIT, Chicago, IL Rita Morocoima-Black, Planning & Comm.

  15. homeoffice_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... 29.1 5.3 22.7 3.8 1 Below 150 percent of poverty line or 60 percent of median State income

  16. Fact #748: October 8, 2012 Components of Household Expenditures...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Household Expenditures on Transportation, 1984-2010 Fact 748: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010 The overall share of annual household ...

  17. Interviewee Travel Regulations Scope

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    rucks that travel in the western United States will soon be able to operate clean-burning alternative fuel vehicles (AFVs) along the Interstate Clean Transpor- tation Corridor (ICTC). The ICTC project is the first effort to develop clean transportation corridors to connect Los Angeles, San Bernar- dino, the San Joaquin Valley, Sacra- mento/San Francisco, Salt Lake City, Reno, and Las Vegas along routes 1-15, 1-80, and 1-5/CA-99. The ICTC team, headed by California- based Gladstein and

  18. Omega World Travel Awarded JLab Contract for Travel Services | Jefferson

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Lab Who is Omega World Travel? Omega World Travel has over 43 years of experience in the travel industry with a diversified customer base across multiple industries as well as DOE Laboratories. When is the Omega "Go-Live" date? The "Go-Live" date is Monday, August 1, 2016. Why did we select Omega World Travel? Omega's capabilities and experience, coupled with advantageous pricing and customer satisfaction, resulted in their selection. What does this mean to me? The Concur

  19. Travel Patterns and Characteristics of Elderly Subpopulation in New York State

    SciTech Connect (OSTI)

    Hwang, Ho-Ling; Wilson, Daniel W.; Reuscher, Tim; Yang, Jianjiang; Taylor, Rob D.; Chin, Shih-Miao

    2015-03-01

    With the increasing demographic shift towards a larger population of elderly (individuals 65 years and older), it is essential for policy makers and planners to have an understanding of transportation issues that affect the elderly. These issues include livability of the community, factors impacting travel behavior and mobility, transportation safety, etc. In this study, Oak Ridge National Laboratory was tasked by the New York State (NYS) Department of Transportation to conduct a detailed examination of travel behaviors, and identify patterns and trends of the elderly within NYS. The National Household Travel Survey (NHTS) was used as the primary data source to analyze subjects and address questions such as: Are there differences in traveler demographics between the elderly population and those of younger age groups who live in various NYS regions; e.g., New York City, other urban areas of NYS, or other parts of the country? How do they compare with the population at large? Are there any regional differences (e.g., urban versus rural)? Gender differences? Do any unique travel characteristics or patterns exist within the elderly group? In addition to analysis of NHTS data, roadway travel safety concerns associated with elderly travelers were also investigated in this study. Specifically, data on accidents involving the elderly (including drivers, passengers, and others) as captured in the Fatal Analysis Reporting System (FARS) database was analyzed to examine elderly driver and elderly pedestrian travel safety issues in NYS. The analyses of these data sets provide a greater understanding of the elderly within NYS and their associated transportation issues. Through this study, various key findings on elderly population size, household characteristics, and travel patterns were produced and are report herein this report.

  20. ac_household2001.pdf

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

    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

  1. homeoffice_household2001.pdf

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

    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

  2. appl_household2001.pdf

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

    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

  3. Foreign Travel | The Ames Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Guidance Foreign Trip Report Template Trip Report Example 1 Trip Report Example 2 Insurance: Travelers are eligible for the Cultural Insurance Services International (CISI)...

  4. appl_household2001.pdf

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

    0a. Appliances by Midwest Census Region, Million U.S. Households, 2001 Appliance Types and 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 1.5 Total .............................................................. 107.0 24.5 17.1 7.4 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 23.8 16.6 7.2 NE 1

  5. appl_household2001.pdf

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

    1a. Appliances by South Census Region, Million U.S. Households, 2001 Appliance Types and 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 1.4 1.5 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 36.2 19.4 6.4 10.3 1.5 1

  6. appl_household2001.pdf

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

    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

  7. appl_household2001.pdf

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

    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 ...........................................

  8. appl_household2001.pdf

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

    6a. Appliances by Type of Rented Housing Unit, Million U.S. Households, 2001 Appliance Types and 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 Kitchen Appliances Cooking Appliances Oven ........................................... 33.4 10.1 7.3 14.9 1.1

  9. appl_household2001.pdf

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

    8a. Appliances by Urban/Rural Location, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.9 1.4 1.2 1.3 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.1 Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 47.5 17.5 19.9 16.8 4.2 1

  10. appl_household2001.pdf

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

    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

  11. homeoffice_household2001.pdf

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

    2001 Home Office Equipment 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 Households Using Office Equipment ......................................... 96.2 6.2 11.4 6.7 5.9 1.7 Personal Computers 1 ................................. 60.0 3.4 7.9 4.1 3.8 4.4 Number of Desktop PCs 1

  12. spaceheat_household2001.pdf

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

    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

  13. spaceheat_household2001.pdf

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

    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

  14. spaceheat_household2001.pdf

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

    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

  15. spaceheat_household2001.pdf

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

    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

  16. spaceheat_household2001.pdf

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

    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

  17. spaceheat_household2001.pdf

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

    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

  18. spaceheat_household2001.pdf

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

    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

  19. Omega World Travel Awarded JLab Contract for Travel Services | Jefferson

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Lab Effective today, ALL travel to go through Omega World Travel. The Concur On-line Travel System is up and running. You can access it now. Questions / Concerns Omega representatives will be holding informational / training sessions August 1st 3:00pm - 4:00pm and August 2nd 2:00pm - 3:00pm in the Cebaf Center Auditorium. All staff are encouraged to attend. Topics will cover: Introduction of Omega's Account Manager, Reservation Agent, and Transition Team, Elimination of on-site agent, Who to

  20. ORISE: Travelers' Health Campaign | How ORISE is Making a Difference

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Travelers' Health Campaign Travelers' Health Campaign takes critical messages worldwide Travelers' Health Campaign poster Click image to enlarge Traveling can be a dangerous...

  1. NEUP Student Travel Request Form | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Student Travel Request Form NEUP Student Travel Request Form NEUP Fellowship Travel Request Form PDF icon Student Travel Request Form.pdf More Documents & Publications Investing in ...

  2. Household energy consumption and expenditures, 1990

    SciTech Connect (OSTI)

    Not Available

    1993-03-02

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide.

  3. ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    9: TRAVEL AND TRANSPORTATION RECORDS (Revision 2) ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION RECORDS (Revision 2) This schedule covers records documenting the ...

  4. Microsoft Word - Travel Checklist.doc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    kinds of tickets are and are not reimbursable are, in conjunction with the ongoing globalization of airline and other travel consortiums, complex enough that whether a travel...

  5. Sequentially pulsed traveling wave accelerator

    DOE Patents [OSTI]

    Caporaso, George J.; Nelson, Scott D.; Poole, Brian R.

    2009-08-18

    A sequentially pulsed traveling wave compact accelerator having two or more pulse forming lines each with a switch for producing a short acceleration pulse along a short length of a beam tube, and a trigger mechanism for sequentially triggering the switches so that a traveling axial electric field is produced along the beam tube in synchronism with an axially traversing pulsed beam of charged particles to serially impart energy to the particle beam.

  6. appl_household2001.pdf

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

    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

  7. appl_household2001.pdf

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

    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

  8. spaceheat_household2001.pdf

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

    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 ........................

  9. spaceheat_household2001.pdf

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

    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

  10. Fact #565: April 6, 2009 Household Gasoline Expenditures by Income |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy 5: April 6, 2009 Household Gasoline Expenditures by Income Fact #565: April 6, 2009 Household Gasoline Expenditures by Income In the annual Consumer Expenditure Survey, household incomes are grouped into five equal parts called quintiles (each quintile is 20%). Households in the second and third quintiles consistently have a higher share of spending on gasoline each year than households in the other quintiles. Household Gasoline Expenditures by Income Quintile Bar graph

  11. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    SciTech Connect (OSTI)

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

    2009-04-15

    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.

  12. Kingston Creek Hydro Project Powers 100 Households | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Kingston Creek Hydro Project Powers 100 Households Kingston Creek Hydro Project Powers 100 Households August 21, 2013 - 12:00am Addthis Nevada-based contracting firm Nevada ...

  13. Energy Information Administration/Household Vehicles Energy Consumptio...

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

    , Energy Information AdministrationHousehold Vehicles Energy Consumption 1994 ix Household Vehicles Energy Consumption 1994 presents statistics about energy-related...

  14. Loan Programs for Low- and Moderate-Income Households | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Programs for Low- and Moderate-Income Households Loan Programs for Low- and Moderate-Income Households Better Buildings Residential Network Multifamily and Low-Income Housing Peer ...

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

    Open Energy Info (EERE)

    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...

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

    SciTech Connect (OSTI)

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

    2000-05-01

    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.

  17. 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  California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site

  18. 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  California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site

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

    SciTech Connect (OSTI)

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

    2011-01-01

    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.

  20. Household energy consumption and expenditures 1993

    SciTech Connect (OSTI)

    1995-10-05

    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.

  1. Travel Office creates on-line guide to help travelers | The Ames Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Travel Office creates on-line guide to help travelers The Ames Lab Travel Office has created a couple of informational tools found on their web page to help assist travelers while making travel arrangements. "How to Fill Out a Travel Worksheet" can be found under the "Instructions" tab. The guide walks you step-by-step in filling out a travel worksheet. Also, the "Travel Arrangement Guide" can help with general questions and this is found under the "Making

  2. Enabling time travel for the scholarly web

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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 ...

  3. Travel Patterns And Characteristics Of Transit Users In New York State

    SciTech Connect (OSTI)

    Hwang, Ho-Ling; Wilson, Daniel W.; Reuscher, Tim; Chin, Shih-Miao; Taylor, Rob D.

    2015-12-01

    This research is a detailed examination of the travel behaviors and patterns of transit users within New York State (NYS), primarily based on travel data provided by the National Household Travel Survey (NHTS) in 2009 and the associated Add-on sample households purchased by the New York State Department of Transportation (NYSDOT). Other data sources analyzed in this study include: NYS General Transit Feed Specification (GTFS) to assist in analyzing spatial relationships for access to transit and the creation of Transit Shed geographic areas of 1, 2.5, and 5 miles from transit stop locations, LandScan population database to understand transit coverage, and Census Bureau s American Community Survey (ACS) data to examine general transit patterns and trends in NYS over time. The majority of analyses performed in this research aimed at identifying transit trip locations, understanding differences in transit usage by traveler demographics, as well as producing trip/mode-specific summary statistics including travel distance, trip duration, time of trip, and travel purpose of transit trips made by NYS residents, while also analyzing regional differences and unique travel characteristics and patterns. The analysis was divided into two aggregated geographic regions: New York Metropolitan Transportation Council (NYMTC) and NYS minus NYMTC (Rest of NYS). The inclusion of NYMTC in all analysis would likely produce misleading conclusions for other regions in NYS. TRANSIT COVERAGE The NYS transit network has significant coverage in terms of transit stop locations across the state s population. Out of the 19.3 million NYS population in 2011, about 15.3 million (or 79%) resided within the 1-mile transit shed. This NYS population transit coverage increased to 16.9 million (or 88%) when a 2.5-mile transit shed was considered; and raised to 17.7 million (or 92%) when the 5-mile transit shed was applied. KEY FINDINGS Based on 2009 NHTS data, about 40% of NYMTC households used transit

  4. Determinants of Household Use of Selected Energy Star Appliances - Energy

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Determinants of Household Use of Selected Energy Star Appliances Release date: May 25, 2016 Introduction According to the 2009 Residential Energy Consumption Survey (RECS), household appliances1accounted for 35% of U.S. household energy consumption, up from 24% in 1993. Thus, improvements in the energy performance of residential appliances as well as increases in the use of more efficient appliances can be effective in reducing household energy consumption and

  5. ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION...

    Broader source: Energy.gov (indexed) [DOE]

    & Publications ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION RECORDS (Revision 2) ADMINISTRATIVE RECORDS SCHEDULE 6: ACCOUNTABLE OFFICERS' ACCOUNTS RECORDS ADM 6 PDF...

  6. Fermilab | Tevatron | Tevatron Symposium | Travel and Lodging

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Travel and Lodging Directions to Fermilab Local Accommodations Map of Local Hotels Transportation Visa Information Wifi Access at Fermilab Other Useful Links

  7. Household Energy Consumption Segmentation Using Hourly Data

    SciTech Connect (OSTI)

    Kwac, J; Flora, J; Rajagopal, R

    2014-01-01

    The increasing US deployment of residential advanced metering infrastructure (AMI) has made hourly energy consumption data widely available. Using CA smart meter data, we investigate a household electricity segmentation methodology that uses an encoding system with a pre-processed load shape dictionary. Structured approaches using features derived from the encoded data drive five sample program and policy relevant energy lifestyle segmentation strategies. We also ensure that the methodologies developed scale to large data sets.

  8. Household energy consumption and expenditures, 1987

    SciTech Connect (OSTI)

    Not Available

    1989-10-10

    Household Energy Consumption and Expenditures 1987, Part 1: National Data is the second publication in a series from the 1987 Residential Energy Consumption Survey (RECS). It is prepared by the Energy End Use Division (EEUD) of the Office of Energy Markets and End Use (EMEU), Energy Information Administration (EIA). The EIA collects and publishes comprehensive data on energy consumption in occupied housing units in the residential sector through the RECS. 15 figs., 50 tabs.

  9. Code for Calculating Regional Seismic Travel Time

    Energy Science and Technology Software Center (OSTI)

    2009-07-10

    The RSTT software computes predictions of the travel time of seismic energy traveling from a source to a receiver through 2.5D models of the seismic velocity distribution within the Earth. The two primary applications for the RSTT library are tomographic inversion studies and seismic event location calculations. In tomographic inversions studies, a seismologist begins with number of source-receiver travel time observations and an initial starting model of the velocity distribution within the Earth. A forwardmore » travel time calculator, such as the RSTT library, is used to compute predictions of each observed travel time and all of the residuals (observed minus predicted travel time) are calculated. The Earth model is then modified in some systematic way with the goal of minimizing the residuals. The Earth model obtained in this way is assumed to be a better model than the starting model if it has lower residuals. The other major application for the RSTT library is seismic event location. Given an Earth model, an initial estimate of the location of a seismic event, and some number of observations of seismic travel time thought to have originated from that event, location codes systematically modify the estimate of the location of the event with the goal of minimizing the difference between the observed and predicted travel times. The second application, seismic event location, is routinely implemented by the military as part of its effort to monitor the Earth for nuclear tests conducted by foreign countries.« less

  10. NEUP Foreign Travel Request Form | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Foreign Travel Request Form NEUP Foreign Travel Request Form NEUP Foreign Travel Request Form NEUP Foreign Travel Form 07_31_12.docx (62.57 KB) More Documents & Publications DOE F 551.1 NEUP Student Travel Request Form HQ FNVA Questionnaire

  11. Positioner with long travel in two dimensions

    DOE Patents [OSTI]

    Trumper, David L.; Williams, Mark E.

    1997-12-23

    A precision positioning system is provided which provides long travel in two of the linear dimensions, while using non-contact bearings for both a first subassembly which provides long travel in one of the linear dimension and a second subassembly which provides long travel in the second linear dimension. The first or upper subassembly is preferably a magnetic subassembly which, in addition to providing long travel, also compensates or positions in three rotary dimensions and in the third linear dimension. The second subassembly is preferably either an air bearing or magnetic subassembly and is normally used only to provide long travel. Angled surfaces may be provided for magnetic bearings and capacitive or other gap sensing probes may be mounted to the stage and ground flush with the bearing actuators to provide more precise gap measurements.

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

    SciTech Connect (OSTI)

    Guerin, D.A.

    1988-01-01

    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 = <.05) relationship between the dependent-variable energy-consumption change and the predictor variables heating degree days, addition of insulation, addition of a wood-burning stove, year the housing unit was built, and weighted number of appliances. A significant (p = <.05) relationship was found between the criterion variable energy-consumption change and the discriminating variables of age of the head of the household, cooling degree days, heating degree days, year the housing unit was built, and number of stories in the housing unit.

  13. Better World Club Travel Cool | Open Energy Information

    Open Energy Info (EERE)

    World Club Travel Cool Jump to: navigation, search Name: Better World Club Travel Cool Place: Portland, Oregon Zip: 97209 Product: Travel Cool is the eNewsletter of the Better...

  14. Traveling-wave device with mass flux suppression (Patent) | DOEPatents

    Office of Scientific and Technical Information (OSTI)

    Traveling-wave device with mass flux suppression Title: Traveling-wave device with mass flux suppression A traveling-wave device is provided with the conventional moving pistons ...

  15. U.S. Department of Energy, Energy Information Administration...

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

    A7 - VMT by Income","Table A7. U.S. Vehicle-Miles Traveled by Family Income and Poverty Status, 2001 (Billion Miles) " "Std Errors for A7","Relative Standard Errors for Table A7....

  16. U.S. Department of Energy, Energy Information Administration...

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

    3 - Avg VMT by Efficiency","Table A13. U.S. Average Vehicle-Miles Traveled by Vehicle Fuel Economy Category, 2001 (Thousand Miles per Vehicle) " "Std Errors for A13","Relative...

  17. Y-12 earns national Best Workplaces for Commuters designation...

    National Nuclear Security Administration (NNSA)

    vehicle miles traveled each week and eliminates about 4,500 tons of greenhouse gas emissions each year. See more. About the photo: Durand Carmany shares how Y-12's 410 schedule...

  18. Identify Petroleum Reduction Strategies for Vehicles and Mobile Equipment

    Broader source: Energy.gov [DOE]

    As defined by the Federal Energy Management Program (FEMP), greenhouse gas (GHG) emission reduction strategies for Federal vehicles and equipment are based on the three driving principles of petroleum reduction: Reduce vehicle miles traveled Improve fuel efficiency Use alternative fuels.

  19. Short-Term Energy Outlook Model Documentation: Motor Gasoline Consumption Model

    Reports and Publications (EIA)

    2011-01-01

    The motor gasoline consumption module of the Short-Term Energy Outlook (STEO) model is designed to provide forecasts of total U.S. consumption of motor gasolien based on estimates of vehicle miles traveled and average vehicle fuel economy.

  20. Figure ES2. Annual Indices of Real Disposable Income, Vehicle...

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

    ES2 Figure ES2. Annual Indices of Real Disposable Income, Vehicle-Miles Traveled, Consumer Price Index (CPI-U), and Real Average Retail Gasoline Price, 1978-2004, 1985100...

  1. Drive Less, Save More | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    the vehicle miles travelled per person is actually twice as high as it is in Western Europe and three times higher than in Japan. However, alternatives to using your car have...

  2. Supplemental Guidance Regarding Compensatory Time Off for Travel |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy 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

  3. Venue and Travel | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Venue and Travel Venue and Travel Venue and Travel Hilton Anaheim 777 W Convention Way Anaheim, California, 92802 USA TEL: 1-714-750-4321 FAX: 1-714-740-4460 Reserving Your Room For your convenience, a limited room block has been set up at the group rate of $133 per night (plus applicable taxes). Space is limited and will sell out fast. Reservations can be made via the call center 1-877-776-4932 using the group code: SGE or you can book online: SunShot Grand Challenge Summit Room Block.

  4. ORISE: CDC Travelers' Health Mobile App, Designed by ORISE, Gains...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    choices while traveling internationally and tasked ORISE with designing iPhone and Android versions. "Nothing is more important to us than the health and safety of travelers,...

  5. DOE Energy Taxation Forum - Travel Fact Sheet | Department of...

    Office of Environmental Management (EM)

    Travel Fact Sheet DOE Energy Taxation Forum - Travel Fact Sheet PDF icon TFS Tax Forum New Orleans 02272012.pdf More Documents & Publications DOE Energy Taxation Forum -...

  6. Strategies for Collecting Household Energy Data | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Collecting Household Energy Data Strategies for Collecting Household Energy Data Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for Collecting Household Energy Data, Call Slides and Discussion Summary, July 19, 2012. Call Slides and Discussion Summary (700.06 KB) More Documents & Publications Homeowner and Contractor Surveys Mastermind: Jim Mikel, Spirit Foundation Generating Energy Efficiency Project Leads and Allocating Leads to Contractors

  7. Geostatistical evaluation of travel time uncertainties

    SciTech Connect (OSTI)

    Devary, J.L.

    1983-08-01

    Data on potentiometric head and hydraulic conductivity, gathered from the Wolfcamp Formation of the Permian System, have exhibited tremendous spatial variability as a result of heterogeneities in the media and the presence of petroleum and natural gas deposits. Geostatistical data analysis and error propagation techniques (kriging and conditional simulation) were applied to determine the effect of potentiometric head uncertainties on radionuclide travel paths and travel times through the Wolfcamp Formation. Blok-average kriging was utilized to remove measurement error from potentiometric head data. The travel time calculations have been enhanced by the use of an inverse technique to determine the relative hydraulic conductivity along travel paths. In this way, the spatial variability of the hydraulic conductivity corresponding to streamline convergence and divergence may be included in the analysis. 22 references, 11 figures, 1 table.

  8. Hotel and Travel Information for the Summit

    Broader source: Energy.gov [DOE]

    The Executive Summit on Wind Research and Development is being held in the Cottonwoods Pavillion at the Hyatt Regency Tamaya Resort and Spa. Here registrants can find summit hotel and travel...

  9. Household energy consumption and expenditures 1987

    SciTech Connect (OSTI)

    Not Available

    1990-01-22

    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.

  10. Appliance Commitment for Household Load Scheduling

    SciTech Connect (OSTI)

    Du, Pengwei; Lu, Ning

    2011-06-30

    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.

  11. Household energy consumption and expenditures, 1990. [Contains Glossary

    SciTech Connect (OSTI)

    Not Available

    1993-03-02

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide.

  12. Delivering Energy Efficiency to Middle Income Single Family Households

    SciTech Connect (OSTI)

    none,

    2011-12-01

    Provides state and local policymakers with information on successful approaches to the design and implementation of residential efficiency programs for households ineligible for low-income programs.

  13. Barriers to household investment in residential energy conservation: preliminary assessment

    SciTech Connect (OSTI)

    Hoffman, W.L.

    1982-12-01

    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)

  14. " Million U.S. Housing Units" ,,"2005 Household...

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

    8 Water Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ... to 79,999","80,000 or More" "Water Heating Characteristics" ...

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

    SciTech Connect (OSTI)

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

    2012-06-01

    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

  16. Thurston Regional Planning Council Helps Washingtonians Save on Travel Costs

    Broader source: Energy.gov [DOE]

    Thurston County provides travel information for lower costs, improved safety, and faster response to challenges.

  17. PIA - Foreign Travel Management System (FTMS) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Travel Management System (FTMS) PIA - Foreign Travel Management System (FTMS) PIA - Foreign Travel Management System (FTMS) PIA - Foreign Travel Management System (FTMS) (389.71 KB) More Documents & Publications PIA - INL PeopleSoft - Human Resource System PIA - INL SECURITY INFORMATION MANAGEMENT SYSTEM BUSINESS ENCLAVE

  18. Foreign Travel Health & Wellness Information | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    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

  19. New Hire Relocation Travel Information Guide

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    New Hire Relocation Travel Information Guide This information guide is provided by the CFO Travel Relocation Office to assist you in planning your relocation to Los Alamos. Please contact the Relocation Office at least two to four weeks prior to your relocation to discuss your relocation plans. You can contact the Relocation Office at (505) 665-4484 or by e-mail at relocation@lanl.gov. You must have met all contingencies, if any, of your hire as well as have proper work authorization before the

  20. Perceptions of risk among households in two Australian coastal communities

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Elrick-Barr, Carmen E.; Smith, Timothy F.; Thomsen, Dana C.; Preston, Benjamin L.

    2015-04-20

    There is limited knowledge of risk perceptions in coastal communities despite their vulnerability to a range of risks including the impacts of climate change. A survey of 400 households in two Australian coastal communities, combined with semi-structured interviews, provides insight into household perceptions of the relative importance of climatic and non-climatic risks and the subsequent risk priorities that may inform household adaptive action. In contrast to previous research, the results demonstrated that geographic location and household characteristics might not affect perceptions of vulnerability to environmental hazards. However, past experience was a significant influence, raising the priority of environmental concerns. Overall,more » the results highlight the priority concerns of coastal households (from finance, to health and environment) and suggest to increase the profile of climate issues in coastal communities climate change strategies need to better demonstrate links between climate vulnerability and other household concerns. Moreover, promoting generic capacities in isolation from understanding the context in which households construe climate risks is unlikely to yield the changes required to decrease the vulnerability of coastal communities.« less

  1. Perceptions of risk among households in two Australian coastal communities

    SciTech Connect (OSTI)

    Elrick-Barr, Carmen E.; Smith, Timothy F.; Thomsen, Dana C.; Preston, Benjamin L.

    2015-04-20

    There is limited knowledge of risk perceptions in coastal communities despite their vulnerability to a range of risks including the impacts of climate change. A survey of 400 households in two Australian coastal communities, combined with semi-structured interviews, provides insight into household perceptions of the relative importance of climatic and non-climatic risks and the subsequent risk priorities that may inform household adaptive action. In contrast to previous research, the results demonstrated that geographic location and household characteristics might not affect perceptions of vulnerability to environmental hazards. However, past experience was a significant influence, raising the priority of environmental concerns. Overall, the results highlight the priority concerns of coastal households (from finance, to health and environment) and suggest to increase the profile of climate issues in coastal communities climate change strategies need to better demonstrate links between climate vulnerability and other household concerns. Moreover, promoting generic capacities in isolation from understanding the context in which households construe climate risks is unlikely to yield the changes required to decrease the vulnerability of coastal communities.

  2. Reconstructing householder vectors from Tall-Skinny QR

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Ballard, Grey Malone; Demmel, James; Grigori, Laura; Jacquelin, Mathias; Knight, Nicholas; Nguyen, Hong Diep

    2015-08-05

    The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than columns. However, TSQR produces a different representation of the orthogonal factor and therefore requires more software development to support the new representation. Further, implicitly applying the orthogonal factor to the trailing matrix in the context of factoring a square matrix is more complicated and costly than with the Householder representation. We show how to perform TSQR and then reconstruct the Householder vector representation with the same asymptotic communication efficiency and little extra computational cost. We demonstratemore » the high performance and numerical stability of this algorithm both theoretically and empirically. The new Householder reconstruction algorithm allows us to design more efficient parallel QR algorithms, with significantly lower latency cost compared to Householder QR and lower bandwidth and latency costs compared with Communication-Avoiding QR (CAQR) algorithm. Experiments on supercomputers demonstrate the benefits of the communication cost improvements: in particular, our experiments show substantial improvements over tuned library implementations for tall-and-skinny matrices. Furthermore, we also provide algorithmic improvements to the Householder QR and CAQR algorithms, and we investigate several alternatives to the Householder reconstruction algorithm that sacrifice guarantees on numerical stability in some cases in order to obtain higher performance.« less

  3. Reconstructing householder vectors from Tall-Skinny QR

    SciTech Connect (OSTI)

    Ballard, Grey Malone; Demmel, James; Grigori, Laura; Jacquelin, Mathias; Knight, Nicholas; Nguyen, Hong Diep

    2015-08-05

    The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than columns. However, TSQR produces a different representation of the orthogonal factor and therefore requires more software development to support the new representation. Further, implicitly applying the orthogonal factor to the trailing matrix in the context of factoring a square matrix is more complicated and costly than with the Householder representation. We show how to perform TSQR and then reconstruct the Householder vector representation with the same asymptotic communication efficiency and little extra computational cost. We demonstrate the high performance and numerical stability of this algorithm both theoretically and empirically. The new Householder reconstruction algorithm allows us to design more efficient parallel QR algorithms, with significantly lower latency cost compared to Householder QR and lower bandwidth and latency costs compared with Communication-Avoiding QR (CAQR) algorithm. Experiments on supercomputers demonstrate the benefits of the communication cost improvements: in particular, our experiments show substantial improvements over tuned library implementations for tall-and-skinny matrices. Furthermore, we also provide algorithmic improvements to the Householder QR and CAQR algorithms, and we investigate several alternatives to the Householder reconstruction algorithm that sacrifice guarantees on numerical stability in some cases in order to obtain higher performance.

  4. Projecting household energy consumption within a conditional demand framework

    SciTech Connect (OSTI)

    Teotia, A.; Poyer, D.

    1991-01-01

    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).

  5. Projecting household energy consumption within a conditional demand framework

    SciTech Connect (OSTI)

    Teotia, A.; Poyer, D.

    1991-12-31

    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).

  6. Fact #618: April 12, 2010 Vehicles per Household and Other Demographic...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    per Household and Other Demographic Statistics Fact 618: April 12, 2010 Vehicles per Household and Other Demographic Statistics Since 1969, the number of vehicles per ...

  7. "Table HC7.5 Space Heating Usage Indicators by Household Income...

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

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... for 2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ...

  8. "Table HC7.12 Home Electronics Usage Indicators by Household...

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

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... for 2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ...

  9. "Table HC7.10 Home Appliances Usage Indicators by Household...

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

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... for 2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ...

  10. Fact #748: October 8, 2012 Components of Household Expenditures on

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Transportation, 1984-2010 | Department of Energy 8: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010 Fact #748: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010 The overall share of annual household expenditures for transportation was lower in 2010 than it was in 1984, reaching its lowest point in 2009 at 15.5%. In the early to mid-1980s when oil prices were high, gasoline and motor oil made up a larger share of transportation

  11. Travel Services Transition to Omega World Travel to Begin on July 29 |

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Jefferson Lab on August 2 in the CEBAF Center auditorium. Be sure to monitor your email for further information on the transition and cut-over. If you have any questions about the transition, please contact Travel Services at757-269-7192. For more information, see the original announcement: https://www.jlab.org/memo/omega-world-travel-will-be-taking-over-subcontract

  12. Travel Services Transition to Omega World Travel to Begin on July 29 |

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Jefferson Lab on August 2 in the CEBAF Center auditorium. Be sure to monitor your email for further information on the transition and cut-over. If you have any questions about the transition, please contact Travel Services at757-269-7192. For more information, see the original announcement: https://www.jlab.org/memo/omega-world-travel-will-be-taking-over-subcont...

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

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

    Percent of Households with Vehicles, Selected Survey Years " ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",85.5450237,89.00343643,88.75545852,89.42917548,87.25590956,92.08...

  14. Researchers test novel power system for space travel

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Power system for space travel Researchers test novel power system for space travel The ... "The heat pipe and Stirling engine used in this test are meant to represent one module ...

  15. Ventilation Behavior and Household Characteristics in NewCalifornia Houses

    SciTech Connect (OSTI)

    Price, Phillip N.; Sherman, Max H.

    2006-02-01

    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.

  16. Checklist for Medical Issues When Traveling Overseas | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    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

  17. ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION RECORDS

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    (Revision 2) | Department of Energy 9: TRAVEL AND TRANSPORTATION RECORDS (Revision 2) ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION RECORDS (Revision 2) This schedule covers records documenting the movement of goods and persons under Government orders. ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION RECORDS (Revision 2) (14.5 KB) More Documents & Publications ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION RECORDS ADMINISTRATIVE RECORDS SCHEDULE

  18. Connected Traveler (Fact Sheet), NREL (National Renewable Energy Laboratory)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Source: Texas A&M Transportation Institute, 2015 Urban Mobility Scorecard MARKET OPPORTUNITY Increased Mobility Meets Emission Reductions Traveler Vehicle Transport System Built Environment Starting with the Traveler The Connected Traveler approach looks at sustainable transportation as a network of travelers, services, and decision points connected by communication technology and decision-making tools-rather than just by vehicles and roads-to signifcantly reduce related energy consumption

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

    SciTech Connect (OSTI)

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

    1999-07-16

    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

  20. Jefferson Lab Visitor's Center - Travel Accommodations

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Travel Accommodations While visiting or working at JLab there are many options for living accommodations. These options vary depending upon the expected length of stay, transportation available and money allotted for housing expenses. The following information has been compiled to assist in the search for living accommodations near the lab. For further assistance e-mail User Liaison or call 757-269-6388. On-Site Accommodations SURA Residence Facility Off-Site Accommodations Negotiated Lodging

  1. Extension arm for mobile travelers suit case

    DOE Patents [OSTI]

    Byington, Gerald A.

    1999-01-01

    The invention is an apparatus for adjusting a luggage handle in relation to a luggage frame utilized to transport luggage by a traveler. The handle is connected to two extendable and retractable slide tube assemblies, the assemblies allow for the telescoping of the luggage handle to multiple positions in relation to a pair of fixed frame tubes connected to a luggage shell with wheels, to accommodate the height and personal stride of traveler. The luggage handle incorporates triggering buttons that allow ambidextrous and single-handed control of the height of the handle and slide tube assembly in relation to the luggage. The handle and slide tube assembly are connected by interior filaments to pulleys and filaments within two concentric light-weight slide tubes, which are inserted respectively into two fixed frame tubes, to allow a multitude of positions for the slide tubes to lock into the fixed frame tubes. The apparatus can be pushed or pulled by the traveler, and the support shell can accommodate multiple pieces of luggage.

  2. Fact #618: April 12, 2010 Vehicles per Household and Other Demographic

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Statistics | Department of Energy 8: April 12, 2010 Vehicles per Household and Other Demographic Statistics Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics Since 1969, the number of vehicles per household has increased by 66% and the number of vehicles per licensed driver has increased by 47%. The number of workers per household has changed the least of the statistics shown here. There has been a decline in the number of persons per household from 1969 to

  3. Omega World Travel will be taking over the subcontract | Jefferson Lab

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    will be taking over the subcontract JLab's Travel Agency Contract: Omega World Travel will be taking over the subcontract by Aug. 1, 2016 Jefferson Lab's Travel Agency contract was recently sent out for rebid. We are pleased to announce that Omega World Travel was awarded the subcontract as the Lab's official travel agency. We plan to go live using Omega World Travel by August 1st. In the interim, MAKE NO CHANGES - continue to utilize CIAZ Travel for all travel arrangements until further

  4. Transportation Efficiency Resources | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Resources Transportation Efficiency Resources Transportation efficiency reduces travel demand as measured by vehicle miles traveled (VMT). While transportation efficiency policies are often implemented under local governments, national and state programs can play supportive roles in reducing VMT. Find transportation efficiency resources below. Improving Travel Efficiency at the Local Level: An ACEEE Policy Toolkit.

  5. Modeling patterns of hot water use in households

    SciTech Connect (OSTI)

    Lutz, J.D.; Liu, Xiaomin; McMahon, J.E.

    1996-11-01

    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.

  6. Modeling patterns of hot water use in households

    SciTech Connect (OSTI)

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

    1996-01-01

    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.

  7. A Glance at China’s Household Consumption

    SciTech Connect (OSTI)

    Shui, Bin

    2009-10-01

    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.

  8. Shared Solar Projects Powering Households Throughout America | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy Shared Solar Projects Powering Households Throughout America Shared Solar Projects Powering Households Throughout America January 31, 2014 - 2:30pm Addthis Shared solar projects allow consumers to take advantage of solar energy’s myriad benefits, even though the system is not located on the consumer’s own rooftop. | Photo courtesy of the Vote Solar Initiative Shared solar projects allow consumers to take advantage of solar energy's myriad benefits, even though the system

  9. Household heating bills expected to be lower this winter

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

    Household heating bills expected to be lower this winter U.S. consumers are expected to pay less this winter on their home heating bills because of lower oil and natural gas prices and projected milder temperatures than last winter. In its new forecast, the U.S. Energy Information Administration said households that rely on heating oil which are mainly located in the Northeast will pay the lowest heating expenditures in 9 years down 25% from last winter as consumers are expected to save about

  10. Sec. Chu Travels to Houston | Department of Energy

    Office of Environmental Management (EM)

    Secretary Chu traveled to Houston, Texas, today to meet with executives from various oil ... This strategy is focused on safely and responsibly developing our oil and gas resources ...

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

    Office of Environmental Management (EM)

    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 per...

  12. Secretary Bodman Travels to Saudi Arabia to Discuss Global Energy...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    business leaders in Jordan. He will also travel to the United Arab Emirates, Qatar, and Egypt, to continue dialogues with global leaders, enhance the United States' relationship...

  13. Travelers Rest, South Carolina: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Travelers Rest, South Carolina: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 34.9676167, -82.4434548 Show Map Loading map......

  14. Statement by DOE Spokesperson on Secretary Moniz's Travel to...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    travel to Geneva on Saturday to join Secretary Kerry in continued negotiations with Iran over its nuclear program. Department of Energy officials have consistently been...

  15. Solar Decathlon: How far did they travel? | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Decathlon Journeys Visualizing the distances that each Solar Decathlon house travelled Click competitors to toggle their journeys on and off. All routes and distances are...

  16. NNSA Administrator D'Agostino's Safeguards Conference Travel...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Conference Travel Blog Follow the second international meeting in Tokai-mura, Ibaraki Japan This week, NNSA Administrator Thomas D'Agostino attended the second international...

  17. NNSA Administrator D'Agostino's 2009 IAEA Travel Blog | National...

    National Nuclear Security Administration (NNSA)

    09 IAEA Travel Blog | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the...

  18. A technical review of urban land use - transportation models as tools for evaluating vehicle travel reduction strategies

    SciTech Connect (OSTI)

    Southworth, F.

    1995-07-01

    The continued growth of highway traffic in the United States has led to unwanted urban traffic congestion as well as to noticeable urban air quality problems. These problems include emissions covered by the 1990 Clean Air Act Amendments (CAAA) and 1991 Intermodal Surface Transportation Efficiency Act (ISTEA), as well as carbon dioxide and related {open_quotes}greenhouse gas{close_quotes} emissions. Urban travel also creates a major demand for imported oil. Therefore, for economic as well as environmental reasons, transportation planning agencies at both the state and metropolitan area level are focussing a good deal of attention on urban travel reduction policies. Much discussed policy instruments include those that encourage fewer trip starts, shorter trip distances, shifts to higher-occupancy vehicles or to nonvehicular modes, and shifts in the timing of trips from the more to the less congested periods of the day or week. Some analysts have concluded that in order to bring about sustainable reductions in urban traffic volumes, significant changes will be necessary in the way our households and businesses engage in daily travel. Such changes are likely to involve changes in the ways we organize and use traffic-generating and-attracting land within our urban areas. The purpose of this review is to evaluate the ability of current analytic methods and models to support both the evaluation and possibly the design of such vehicle travel reduction strategies, including those strategies involving the reorganization and use of urban land. The review is organized into three sections. Section 1 describes the nature of the problem we are trying to model, Section 2 reviews the state of the art in operational urban land use-transportation simulation models, and Section 3 provides a critical assessment of such models as useful urban transportation planning tools. A number of areas are identified where further model development or testing is required.

  19. Heating oil and propane households bills to be lower this winter...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Heating oil and propane households bills to be lower this winter despite recent cold spell Despite the recent cold weather, households that use heating oil or propane as their main ...

  20. Table HC1-3a. Housing Unit Characteristics by Household Income...

    Gasoline and Diesel Fuel Update (EIA)

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  1. Stable operating regime for traveling wave devices

    DOE Patents [OSTI]

    Carlsten, Bruce E.

    2000-01-01

    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.

  2. Online Travel Reservations through "Concur Travel" | The Ames Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Online Learning Center Online Learning Center Online Learning Center Whether you're looking to discover new learning opportunities, better manage your career, request external training or connect your employees with the learning they need, OLC provides new features and services to help. Fulfill your training needs with ease and save money on travel and training costs Explore the enhanced catalog and complete a course at your own pace to stay abreast in the latest technology, science

  3. Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own Three or

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    More Vehicles | Department of Energy 7: May 14, 2012 Nearly Twenty Percent of Households Own Three or More Vehicles Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own Three or More Vehicles Household vehicle ownership has changed over the last six decades. In 1960, over twenty percent of households did not own a vehicle, but by 2010, that number fell to less than 10%. The number of households with three or more vehicles grew from 2% in 1960 to nearly 20% in 2010. Before 1990,

  4. Secretary Chu To Travel to China and Japan | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    To Travel to China and Japan Secretary Chu To Travel to China and Japan November 5, 2010 - 12:00am Addthis Washington, D.C. -U.S. Energy Secretary Steven Chu will travel to China ...

  5. Urban structure and its influence on vehicle travel reduction strategies

    SciTech Connect (OSTI)

    Southworth, F.; Jones, D.W.; Harrison, G.

    1996-04-01

    This paper examines what is known about the relationship between urban spatial structure (i.e. the arrangement of residential, industrial, commercial, recreational and municipal buildings and land lots) and urban travel. The first section provides an overview of the empirical evidence for relationships between urban spatial structure and travel in the United States. Section two focuses on the barriers to and opportunities for reducing the use of automobiles and light trucks in urban areas. The final section offers a policy-point-of-impact perspective on the sort of instruments governments have at their disposal for reducing vehicular travel.

  6. Which Road to Travel? | Y-12 National Security Complex

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Which Road to Travel? Which Road to Travel? Posted: July 16, 2013 - 6:06pm There's no question which road (crosswalk) to travel when you park in the North Portal parking lot. Thanks to the recent restriping of the parking lot, the crosswalk and parking spaces are clearly marked. Earlier this year, the Employee-Driven Safety Campaign was created as a way to easily submit safety issues as we continue pursuing Safety for Life and our Voluntary Protection Program focus. Y-12 is a large site, so it

  7. ORISE: CDC Travelers' Health Team Receives Innovation Award for...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    CDC Travelers' Health Team Receives Innovation Award for Website Redesign ORISE serves as lead redesign contractor on award-winning website redesign for the CDC How ORISE is Making...

  8. Secretary Chu will Travel to China to Highlight Clean Energy...

    Broader source: Energy.gov (indexed) [DOE]

    WASHINGTON - U.S. Energy Secretary Steven Chu will travel to China from May 24th to 28th to highlight the benefit of U.S.-China partnerships and cooperation in the clean energy ...

  9. U.S. Department of Energy Travel Manual

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2006-02-17

    The Manual supplements information in the Federal Travel Regulation (FTR) by providing further clarification and establishing Department of Energy (DOE) policy on matters that the FTR left to Agency discretion. Supersedes DOE M 552.1-1.

  10. Deputy Secretary Poneman to Travel to Russia | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    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 ...