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RECORD NUMBER: 476 OF 1688

OLS Field Name OLS Field Data
Main Title Energy forecasts through 2010 : the effect of efficiency improvements in the transportation sector /
Author Cornett, Colleen M.,
Publisher Assistant Administrator for Applied Analysis, Office of Integrative Analysis, Long-Term Analysis Division : For sale by the Supt. of Docs., U.S. G.P.O.,
Year Published 1981
Report Number DOE/EIA-0290
Stock Number 061-003-00198-0
OCLC Number 07887985
ISBN $3.50
Subjects Transportation--Energy conservation--United States. ; Economic efficiency ; Forecasting ; Policy ; Transportation--United States--Energy conservation
Internet Access
Description Access URL
https://babel.hathitrust.org/cgi/pt?id=ien.35556021183413;view=1up;seq=7
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
ELCM  TJ163.5.T7E5 NVFEL Library/Ann Arbor, MI 11/19/1999
Collation 23 p. ; ill. ; 28 cm.
Notes
"June 1981." "DOE/EIA-0290."
Contents Notes
This paper examines energy saving opportunities in the transportation sector through 2010. Projections of transportation energy use have been prepared for the Department of Transportation (DOT), using the same input data and assumptions as those used for the Annual Report to Congress, 1980, but with a modified transportation sector as specified by DOT. This analysis, also conducted at the request of DOT, would be of interest to those concerned with future transportation energy needs, possible efficiency improvements in the transportation sector, or energy conservation efforts. Five energy forecasts are analyzed. A scenario assuming moderate efficiency improvements in the transportation sector is analyzed for low, middle, and high world oil prices. Two additional sensitivity cases (using the middle oil price assumption) are presented based on different rates of efficiency improvement. This report describes the DOT representation of the transportation sector, presents base case projections for energy use and transportation services, and then compares the base case results with forecasts from sensitivity cases. (Author)