A method for efficiently assessing the impact of local mobility services in large-scale agent-based simulations
Résumé
Methodologies relying on agent-based simulation are increasingly used in mobility studies and The MATSim framework is a popular open-source tools used by researchers. Often, the objective is to assess a mobility solution on a small area, for which simulating the mobility of the whole surrounding region appears disproportionate, since the run times increase with the size of the population and the study area. To address this issue, a procedure for cutting out specific areas from a MATSim simulation scenario is available and regularly used by the community. However, despite speeding-up simulations, the existing approach comes with limitations that do not allow to fully estimate the impact of new mobility services in the area of interest. In the paper at hand, we propose a new simulation scenario-cutting procedure that alleviates the limitations of the previous one in terms of the capacity to assess the modal shift induced by changes of mobility configuration. Our approach is evaluated on a case-study involving the introduction of an on-demand mobility system in a rural area of the Île-de-France region. Comparisons against the already existing method, as well as running a full simulation of the whole region, show conclusive results. Our approach is able to better estimate the impact of new services on traveller decisions, achieving results that are significantly closer to the full simulation than the previous method. The simulation platform, the implementation of our approach as well as the data required used to build the scenarios are openly available, making this research fully reproducible.
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