Highlights ► Impact of a toll pattern is analyzed by a combined mode-split and traffic-assignment problem. ► Probit-based SUE and continuously distributed VOT are assumed. ► Monte Carlo simulation is used to solve the combined mode-split and traffic-assignment problem. ► A MPEC model is proposed for the optimal toll pattern with maximal total social benefit. ► The optimal toll pattern can improve the mode share of public transport to a satisfactory level.

    Abstract This paper investigates the impact of cordon-based congestion pricing scheme on the mode-split of a bimodal transportation network with auto and rail travel modes. For any given toll-charge pattern, its impact on the mode-split can be estimated by solving a combined mode-split and traffic-assignment problem. Using a binary logit model for the mode-split, the combined problem is converted into a traffic-assignment problem with elastic demand. Probit-based stochastic user equilibrium (SUE) principle is adopted for this traffic-assignment problem, and a continuously distributed value of time (VOT) is assumed to convert the toll charges and transit fares into time-units. This combined mode-split and traffic-assignment problem is then formulated as a fixed-point model, which can be solved by a convergent Cost Averaging method. The combined mode-split and traffic-assignment problem is then used to analyze a multimodal toll design problem for cordon-based congestion pricing scheme, with the aim of increasing the mode-share of public transport system to a targeted level. Taking the fixed-point model as a constraint, the multimodal toll design problem is thus formulated as a mathematical programming with equilibrium constraints (MPEC) model. A genetic algorithm (GA) is employed to solve this MPEC model, which is then numerical validated by a network example.


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    Title :

    Impact analysis of cordon-based congestion pricing on mode-split for a bimodal transportation network


    Contributors:
    Meng, Qiang (author) / Liu, Zhiyuan (author)


    Publication date :

    2011-06-24


    Size :

    14 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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