@article{Scherr_Manser_Joshi_Frischknecht_Métrailler_2020, title={Towards agent-based travel demand simulation across all mobility choices – the role of balancing preferences and constraints}, volume={20}, url={https://journals.open.tudelft.nl/ejtir/article/view/4463}, DOI={10.18757/ejtir.2020.20.4.4463}, abstractNote={<p>This article presents an agent-based travel demand model, where agents react to transport supply across all mobility choices. Long-term choices include mobility tool ownership and work locations. Daily travel patterns are simulated at the individual level by sequentially combining activity frequency, activity durations and destinations as well as a rule-based time-of-day scheduling.  A key to success in this novel approach is balancing individual preferences of travelers with system constraints. The model incorporates two types of constraints: 1) capacity constraints of the transport infrastructure. 2) natural time and space constraints during the execution of individual 24-hour day plans. Model results are validated against empirical observations of travel demand in Switzerland. The article concludes with a perspective for further research and development in the field of applied agent-based modeling.</p>}, number={4}, journal={European Journal of Transport and Infrastructure Research}, author={Scherr, Wolfgang and Manser, Patrick and Joshi, Chetan and Frischknecht, Nathalie and Métrailler, Denis}, year={2020}, month={Oct.}, pages={152–172} }