Data-driven analysis and modeling of individual longitudinal behavior response to fare incentives in public transport

Data-driven analysis and modeling of individual longitudinal behavior response to fare incentives in public transport

Abstract Incentive-based public transport demand management (PTDM) can effectively mitigate overcrowding issues in crowded urban rail systems. Analyzing passengers’ behavioral responses to the incentive can guide the design, implementation, and update of PTDM strategies. Though several...

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Bibliographic Details
Main Authors: Wang, Leizhen, Chen, Xin, Ma, Zhenliang, Zhang, Pengfei, Mo, Baichuan, Duan, Peibo
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format: Article
Language:English
Published: Springer US 2023
Online Access:https://hdl.handle.net/1721.1/152268

Internet

https://hdl.handle.net/1721.1/152268

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