[2I3-GS-5b] エージェント：マルチエージェントシミュレーション

[2I3-GS-5b-01] Evaluation of the effect of introducing MaaS using actual travellers’ data and simulation

〇Ryo Nishida^1,3, Ryo Kanamori², Itsuki Noda³ (1. Tohoku University, 2. Nagoya University, 3. AIST)

Keywords:Multi-agent simulation, On-demand shared services, Mode choice model

In this study, we evaluate the effect of introducing MaaS by simulation using a multi-agent traffic simulator and cost-benefit analysis. As a case study, we use the MaaS demonstration experiment conducted in Shizuoka City in November 2019. In this demonstration experiment, in addition to railroads and fixed-route buses, the on-demand shared service, SAVS (Smart Access Vehicle Service), was introduced. We model users' mode choice behavior (demand side) and use vehicle allocation optimization method of SAVS (supply side), and integrate demand and supply model with traffic simulator SUMO to model demand-supply interaction. In order to quantitativel yevaluate the impact, we define a various indicators from different standpoints (users, providers, city, etc.) accordingto the cost-benefit analysis approach. Analyzing results show that the introduction of MaaS did not produce cost-effective benefit. However, exhaustive simulation revealed that the MaaS service can be established if the number of SAVS vehicles and price are set appropriately.