Agent-based simulation of shared bikes and e-scooters: the case of Lyon

Abstract

Shared micro-mobility services are increasingly becoming popular in many cities. These services can help shape sustainable cities and reduce car dependency. To unlock their full potential, a deep understanding of these services’ operation, adoption, and integration within existing mobility systems is required. This paper uses a newly introduced agent-based simulation framework to study the implications of shared bikes and e-scooters in Lyon, France. The paper describes data collection, processing, and input data generation for the simulation of shared bikes and e-scooters. Simulation outcomes evaluate the impact of introducing these services on existing travel modes. The introduction of shared bikes and e-scooters can compete against public transit and walking. The simulation framework can be used to assess various aspects of shared bikes and e-scooters and help policy-makers take advantage of their full potential to improve urban mobility.