On Examining Household Vehicle Holdings and Usage Decisions

(PI: Chandra Bhat)

The increasing diversity of vehicle type holdings and the growing usage of vehicles by households have serious policy implications for traffic congestion and air pollution. Consequently, it is important to accurately predict the vehicle holdings of households as well as the vehicle miles of travel by vehicle type to project future traffic congestion and mobile source emission levels. In this project, we will apply a multiple discrete-continuous extreme value model to analyze the holdings and use of multiple vehicle types by households. Data for the analysis will be drawn from a 2000 San Francisco Bay Area survey.

Keywords: Vehicle type holdings, vehicle use, discrete-continuous models, simulated maximum likelihood