Spatial equity is an extremely important issue in both design of a new and redesign of an existing transit (and highway) network because it is concerned with the benefit distribution among transit (and highway) network users. This paper presents a bi-level optimization model—in which the spatial equity issue is explicitly considered for the first time—for solving the public transportation network redesign problem (PTNRP). The goal of the upper-level subprogram is to minimize total cost, including user cost, operator cost, and unsatisfied demand cost, for the studied bus transit network, subject to a variety of resource- and policy-related constraints. The lower-level subprogram is a user self-routing optimization problem in which all transit users try to find the transit route to minimize their own travel cost (or time) and number of transfers in the network. Then, a procedure for a genetic algorithm–based solution is developed to solve this PTNRP bi-level optimization model. Network experiments are conducted, and numerical results are described. Future research directions are also given.


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    Title :

    Bi-Level Optimization Model for Public Transportation Network Redesign Problem


    Subtitle :

    Accounting for Equity Issues


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2011-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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