Abstract In the planning stage of a BOT highway project, the future traffic demand plays a pivotal role on designing contract factors. Considering that the traffic demand generally has variations with time, the constant toll during the concession period obviously is not a good choice. And the different toll charges classified by vehicles types definitely affect the traffic composition and maintenance cost. To address this practical issue, this study proposes the mixed integer nonlinear programming models to select the period-dependent toll charges for multi-type vehicles and highway capacity, by considering both the objectives of the government and private firms. Then two solution algorithms are provided to solve our proposed models. Finally, numerical experiments are conducted to assess the applicability and efficiency of our models and algorithms.

    Highlights Based on an empirical formula, pavement rehabilitation costs are estimated by the time-varying traffic demand. Mixed integer nonlinear programming models are proposed to select the optimal highway capacity and toll charges by vehicle type. Two solution algorithms are provided to solve our proposed model. Numerical experiments are conducted to assess our proposed methodology.


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    Titel :

    Period-dependent pricing methods of multi-type vehicles for BOT highway projects with pavement rehabilitation effects


    Beteiligte:
    Lu, Zhaoyang (Autor:in) / Li, Yanfeng (Autor:in) / Zuo, Dajie (Autor:in)

    Erschienen in:

    Transport Policy ; 150 ; 84-94


    Erscheinungsdatum :

    2024-03-09


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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