A discrete continuous model of vehicle ownership and use in Flanders

We estimate a discrete-continuous model of vehicle demand and use for the Belgian region of Flanders, combining the results of the official regional travel survey with a detailed database of vehicle characteristics. The overall predictive value of the submodel predicting the number of vehicles owned by each household is satisfying, and in line with expectations. However, existing data turn out to be relatively poor predictors of the vehicle class owned by households and of the annual mileage per vehicle. We argue that the current travel survey focuses on determinants of travel in the peak periods. In order to predict overall travel demand, future versions of the travel survey should identify indicators with a higher predictive value for travel behavior for other than commuting purposes.