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-of-the-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. 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.