Proceedings of the 8th International Conference on Research in Management and Economics
Year: 2023
DOI:
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Managing Travel Modes Choice in Mobility-as-a-Service (MaaS) Platform
Yifan Zhang, Meng Xua, Yingen Ge
ABSTRACT:
Mobility as a Service (MaaS) aims to integrate travel modes and provides comprehensive travel solutions for travelers. Existing studies on MaaS have been focusing on system analysis and mechanism design, and travelers’ travel behavior have not well studied. Understanding travelers’ mode choice characteristics is crucial for enhancing the management level of MaaS platforms. To investigate the travel mode choice behaviors of travelers under the presentence of MaaS, this study first constructs a user travel utility function considering time value and comfort, and then proposes the travel mode choice models with respect to two types of travelers i.e. car travelers and non-car travelers. Further, a bi-level programming model is proposed for optimizing carbon emissions reduction at the upper level and traveler utility maximization at the lower level. Finally, using travel data from navigation application, numerical examples compare the travel mode choice behavior of two types of travelers. Sensitivity analysis is conducted to examine the impact of passenger numbers on mode share ratio. Results indicate that the number of travelers significantly influences travel mode choices of both car and non-car travelers. Increasing the number of travelers causes a gradual reduction in average carbon emissions per user in the MaaS framework. Therefore, this study proposes an approach for measuring carbon emission and travel utility under the presence of MaaS. The proposed model also provides a tool for platform managers optimize MaaS operations.
keywords: MaaS, mode choice, utility function, bi-level programming model, carbon emissions