Samenvatting
A dynamic model of household car ownership and mode use is developed and applied to demand forecasting. The model system consists of three interrelated components: car ownership, mechanized trip generation, and modal split. A simulation experiment is conducted using sample households from the Dutch National Mobility Panel Data Set and applying the model system to predict household car ownership and mode use under different scenarios on future household income employment, and drivers'licence holding. Policy implications of the simulation results are discussed.