This paper investigates and compares several transit fare structures including flat fare, station-based, and mileage-based fare. For each fare structure, there exists an optimal fare pattern inducing to the highest total social benefit and total net profit. A bi-level model is then proposed to determine the optimal fare pattern. The upper-level problem intends to address the maximization of total social benefit from the perspective of transportation authority and the maximization of profit of transit authority, whereas the lower-level problem is a path-based stochastic transit assignment problem with elastic demand. A modified genetic algorithm is adopted to solve the bi-level model. A numerical example of a 9-node transit network is provided to illustrate that differentiated fare structures and have a better financial performance than flat fare.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Optimization Decision Model of Urban Public Transit Fare Structures


    Beteiligte:
    Huang, Di (Autor:in) / Liu, Zhiyuan (Autor:in) / Hua, Dongsheng (Autor:in)

    Kongress:

    16th COTA International Conference of Transportation Professionals ; 2016 ; Shanghai, China


    Erschienen in:

    CICTP 2016 ; 658-669


    Erscheinungsdatum :

    2016-07-01




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Urban Rail Transit Network Fare Analysis

    Yang, Ke ;Jia, Jun Fang | Trans Tech Publications | 2014


    Mode Split Model under Different Public Transit Fare

    Yang, Z. / Yao, L. / Yan, W. et al. | British Library Conference Proceedings | 2010


    Mode Split Model under Different Public Transit Fare

    Yang, Zhongwei / Yao, Liya / Yan, Weipo | ASCE | 2010



    Profit Maximization Model with Fare Structures and Subsidy Constraints for Urban Rail Transit

    Qing Wang / Paul Schonfeld / Lianbo Deng | DOAJ | 2021

    Freier Zugriff