A Transaction Choice Model for Forecasting Demand for Alternative-Fuel Vehicles
David Brownstone,
David S. Bunch,
Thomas F. Golob and
Weiping Ren
University of California Transportation Center, Working Papers from University of California Transportation Center
Abstract:
The vehicle choice model developed here is one component in a mlcro-slmulatlon demand forecasting system being designed to produce annual forecasts of new and used vehicle demand by vehicle type and geographic area in Cahforma. The system will also forecast annual vehicle miles traveled for all vehicles and recharging demand by ume of day for electric vehicles. The choice model specification differs from past studies by directly modehng vehicle transactions rather than vehlcle holdings. The model Is calibrated using stated preference data from a new study of 4,747 urban Califorma households. These results are potentially useful to public transportation and energy agencles m their evaluation of alternatives to current gasoline-powered vehicles. The findings are also useful to manufacturers faced with designLug and marketing alternauve-fuel vehicles as well as to utility companies who need to develop long-run demand-side management plamung strategies
Keywords: Architecture (search for similar items in EconPapers)
Date: 1996-01-01
References: View complete reference list from CitEc
Citations: View citations in EconPapers (59)
Downloads: (external link)
https://www.escholarship.org/uc/item/0244r8g2.pdf;origin=repeccitec (application/pdf)
Related works:
Working Paper: A Transactions Choice Model for Forecasting Demand for Alternative-Fuel Vehicles (1996) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cdl:uctcwp:qt0244r8g2
Access Statistics for this paper
More papers in University of California Transportation Center, Working Papers from University of California Transportation Center Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().