FORECASTING ELECTRIC VEHICLE OWNERSHIP AND USE IN THE CALIFORNIA SOUTH COAST AIR BASIN
This research deals with demand for automobiles and light-duty and medium-duty trucks. Planners concerned with energy consumption, air quality and the provision of transportation facilities must have dependable forecasts of vehicle ownership and use from both the residential (personal-use vehicle) sectors and the fleet (commercial and governmental) sectors. This paper briefly describes the forecasting system being developed and summarizes some preliminary results. This research builds upon previous efforts to provide quantitative estimates of demand for electric and alternative fuel vehicles. The forecasting system is comprised of two main subsystems, the residential (personal-vehicle) demand subsystem and the fleet demand subsystem. The table of contents includes: base case forecasts; programmer interface guide; program technical documentation; household sample weighting; household demographic microsimulation; household transactions timing; household transactions type choice; household vehicle usage adjustment; fleet sample weighting; fleet vehicle allocation choice; and fleet vehicle and fuel demand.
- Submitted to The Southern California Edison Company.
University of California, IrvineInstitute of Transportation Studies
Irvine, CA United States 92697
- Golob, T F
- Brownstone, D
- Bunch, D S
- Kitamura, R
- Publication Date: 1996-8
- Features: Figures; References; Tables;
- Pagination: v.p.
- TRT Terms: Alternate fuels; Automobiles; Cost allocation; Demand; Demographics; Economic forecasting; Electric vehicles; Fleet management; Forecasting; Households; Ownership; Residential areas; Samples; Surveys; Trucks
- Uncontrolled Terms: Fleets
- Geographic Terms: California
- Old TRIS Terms: Allocations; Residential sector
- Subject Areas: Economics; Energy; Highways; Motor Carriers; Planning and Forecasting; Society; I10: Economics and Administration;
- Accession Number: 00728619
- Record Type: Publication
- Report/Paper Numbers: UCI-ITS-RR-96-3, Final Report
- Files: TRIS
- Created Date: Nov 25 1996 12:00AM