Estimating and implementing a Danish activity-based model in SimMobility

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Abstract

Accurately modeling individual travel demand and behavior is essential for forecasting the impact of
alternative policies both at the disaggregated and aggregated levels. In the last decades, the state-ofthe-
art of travel demand models advanced from traditional four-step models, passing through tourbased
models, to activity-based models. The latter models postulate that the demand for travel is
derived from the demand for performing activities, i.e., travels are only undertaken when the utility of
an activity and its associated travel exceeds the utility of activities involving no travel [1]. Furthermore, it
considers that daily travels are temporally and spatially constrained, and individuals start their day at
home and return to a home base at the end of the day