Embedding intermodal mobility behavior in an agent-based demand model

Intermodality is the combination of different modes of transport along a single, seamless trip. It is assumed to reduce the amount of emissions generated by transport and being healthier for the users than conventional monomodal trips using passenger cars due to incorporating active modes of transport. In parallel, it promises to be competitive with passenger cars in terms of travel time. For determining the effects of measures that target at increasing the rate of intermodal trips, demand models that replicate the possibility to combine different modes of transport are needed. Herein, the extension of the agent-based demand model TAPAS for incorporating intermodal trips is presented. The given preliminary results show that the system is capable to compute the correct number of intermodal trips. (C) 2018 The Authors. Published by Elsevier B.V.