Available online at www.sciencedirect.com ScienceDirect Transportation Research Procedia 00 (2017) 000–000 www.elsevier.com/locate/procedia 2214-241X © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of WORLD CONFERENCE ON TRANSPORT RESEARCH SOCIETY. World Conference on Transport Research - WCTR 2016 Shanghai. 10-15 July 2016 Microscopic Destination Choice: Incorporating Travel Time Budgets as Constraints Ana Tsui Moreno * , Rolf Moeckel Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany Abstract Despite empirical evidence, the common approaches for destination choice modeling do not usually account for an overall travel time budget. In fact, if congestion worsens workers will choose different workplaces instantaneously, a highly unrealistic representation of observed work trip destination choice. The objective of this paper is to incorporate travel time budgets as constraints for non-commute trips in the destination choice model, while the commute time will be given directly by home and workplace locations as defined in a synthetic population. Individual travel time budgets for every trip purpose were calculated using the household as analysis unit. The results indicate that travel time depends on the number of required trips by trip purpose and household sociodemographics. Increasing the number of trips for one purpose reduces the travel time allocated for the other trips, confirming the existence of an overall travel time budget. Household size is the most important sociodemographic variable, followed by the household income. Destination choice modeling with travel time budgets as constraint will add fidelity to trip- based travel demand models. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of WORLD CONFERENCE ON TRANSPORT RESEARCH SOCIETY. Keywords: microsimulation; destination choice; travel time budget; weibull survival model; trip-based model 1. Introduction Modeling trip distribution is critical to traffic demand forecast and transportation planning. After trip generation, trip distribution is the second component in the traditional four-step transportation model. A number of methods have been put forward over the years to distribute trips among destinations: growth-factor methods, the gravity model and the destination choice model (Ortúzar and Willumsen, 2011). The growth factor model expands an existing origin- * Corresponding author. Tel.: +49-89-289-28598 E-mail address: ana.moreno@tum.de