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Title: Data source compendium of non-residential transportation energy use

Abstract

Considerable information is collected and known concerning residential transportation energy use from currently existing surveys. Energy use data in the non-residential transportation sector, however, cover a broad spectrum from very good, reliable data to virtually non-existent data. Objective of this report is to identify and evaluate the sources of data that relate to energy end use in the non-residential transportation sector. The compendium lists data sources, level of detail, frequency of publication, time between data occurrence and data availability, and the probability of continued publication. In addition, to the extent possible, quality of the data is assessed. All modes of the non-residential transportation sector - highway, air, rail, marine, pipeline, and military - are covered in this study. Exhibits of all tables from the various data sources, showing energy consumption estimates or other data from which energy use may be derived, are included with the discussion of the mode. For the modes of transportation that are the most regulated, a significant amount of data are available. Conversely, for those areas or modes where there is no regulation and the industry, itself, is rather disjointed, there may always be a dearth of data or information.

Authors:
;
Publication Date:
Research Org.:
Oak Ridge National Lab., TN (USA)
OSTI Identifier:
6409848
Report Number(s):
ORNL/TM-9329
ON: DE86003005
DOE Contract Number:
AC05-84OR21400
Resource Type:
Technical Report
Resource Relation:
Other Information: Portions of this document are illegible in microfiche products. Original copy available until stock is exhausted
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 29 ENERGY PLANNING, POLICY AND ECONOMY; ENERGY CONSUMPTION; SURVEYS; TRANSPORTATION SECTOR; AIR TRANSPORT; DATA COMPILATION; LAND TRANSPORT; PIPELINES; RAIL TRANSPORT; DATA; INFORMATION; NUMERICAL DATA; TRANSPORT; 320200* - Energy Conservation, Consumption, & Utilization- Transportation; 298000 - Energy Planning & Policy- Consumption & Utilization

Citation Formats

McGill, R.N., and Holcomb, M.C.. Data source compendium of non-residential transportation energy use. United States: N. p., 1985. Web.
McGill, R.N., & Holcomb, M.C.. Data source compendium of non-residential transportation energy use. United States.
McGill, R.N., and Holcomb, M.C.. Fri . "Data source compendium of non-residential transportation energy use". United States. doi:.
@article{osti_6409848,
title = {Data source compendium of non-residential transportation energy use},
author = {McGill, R.N. and Holcomb, M.C.},
abstractNote = {Considerable information is collected and known concerning residential transportation energy use from currently existing surveys. Energy use data in the non-residential transportation sector, however, cover a broad spectrum from very good, reliable data to virtually non-existent data. Objective of this report is to identify and evaluate the sources of data that relate to energy end use in the non-residential transportation sector. The compendium lists data sources, level of detail, frequency of publication, time between data occurrence and data availability, and the probability of continued publication. In addition, to the extent possible, quality of the data is assessed. All modes of the non-residential transportation sector - highway, air, rail, marine, pipeline, and military - are covered in this study. Exhibits of all tables from the various data sources, showing energy consumption estimates or other data from which energy use may be derived, are included with the discussion of the mode. For the modes of transportation that are the most regulated, a significant amount of data are available. Conversely, for those areas or modes where there is no regulation and the industry, itself, is rather disjointed, there may always be a dearth of data or information.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Nov 01 00:00:00 EST 1985},
month = {Fri Nov 01 00:00:00 EST 1985}
}

Technical Report:
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