This paper extends the work on Pareto-improving hybrid rationing and pricing policy for general road networks by considering heterogeneous users with different values of time. Mathematical programming models are proposed to find a multiclass Pareto-improving pure road space rationing scheme (MPI-PR) and multiclass hybrid rationing and pricing schemes (MHPI and MHPI-S). A numerical example with a multimodal network is provided for comparing both the efficiency and equity of the three proposed policies. We discover that MHPI-S can achieve the largest reduction in total system delay, MHPI can induce the least spatial inequity and MHPI-S is a progressive policy which is appealing to policy makers. Furthermore, numerical results reveal that different classes of users react differently to the same hybrid policies and multiclass Pareto-improving hybrid schemes yield less delay reduction when compared to their single-class counterparts.


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    Titel :

    A Pareto-improving hybrid rationing and pricing policy with multiclass network equilibria


    Beteiligte:
    Chu, Zhaoming (Autor:in) / Chen, Hui (Autor:in) / Cheng, Lin (Autor:in) / Zhu, Senlai (Autor:in) / Sun, Chao (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    17.02.2018


    Format / Umfang :

    18 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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