In this paper, we propose step fare schemes for a rail transit line connecting a residential district with a central business district (CBD). The proposed fare schemes aim to reduce the total system cost (TSC) while ensuring revenue-neutrality for the rail operator. The user equilibrium (UE) principle in terms of generalized trip cost is adopted to formulate commuters’ departure time choice problems with late arrival under the proposed fare schemes. The equilibrium flow patterns and trip costs are analytically derived. It is found that passengers’ departure times present more even distribution under the schemes with more fare steps, resulting in a lower TSC. Besides, the optimal train schedule and the optimal number and capacity of trains are analyzed. Finally, numerical examples are provided to illustrate the performance of the proposed transit fare schemes.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Managing rail transit peak-hour congestion with step fare schemes


    Contributors:
    Lu, Xiao-Shan (author) / Zhang, Xin (author) / Long, Jiancheng (author) / Li, Yao (author)

    Published in:

    Publication date :

    2020-01-01


    Size :

    22 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Fare incentive strategies for managing peak-hour congestion in urban rail transit networks

    Zhou, Feng / Li, Changfeng / Huang, Zhiyuan et al. | Taylor & Francis Verlag | 2022


    Research on Time-Based Fare Discount Strategy for Urban Rail Transit Peak Congestion

    Xiaobing Ding / Chen Hong / Jinlong Wu et al. | DOAJ | 2023

    Free access

    Research on Time-Based Fare Discount Strategy for Urban Rail Transit Peak Congestion

    Ding, Xiaobing / Hong, Chen / Wu, Jinlong et al. | Springer Verlag | 2023

    Free access


    Can Transit-Oriented Development Reduce Peak-Hour Congestion?

    Zhang, Ming | Transportation Research Record | 2010