Abstract
Modeling of Electric scooters (e-scooters) and prediction of their impacts in the transport system is challenging due to their dual drive behavior i.e., from vehicles’ roadway to pedestrians’ sidewalk. This study aims to develop a model to integrate e-scooter routing process in an agent-based model, namely: MATSim. The developed model is built on the hypothesis that perceived safety affects travel behavior of e-scooter users and is related to road environment. By performing a network analysis, links are classified in seven safety levels; these classifications are later introduced in the simulation process where agents balance safety with time and distance to make choices. Four network scenarios are simulated. The simulation outputs show that there are some distance thresholds for which e-scooter users are not willing to travel longer even if safety levels for such routes are higher.
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