University of California Transportation Center

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