This study optimizes the distribution of shopping centers (SC) in terms of realizing the shortest car-based shopping trips in an urban area. First, modal split between road and railway networks is calculated, and then the interaction between land-use and transportation in the context of choice of shopping destinations is modeled to build the optimal function. Second, Genetic Algorithm (GA) is applied to solve the optimal problem and several problems in application of GA are discussed. Finally a case study, which examines the effectiveness our method, is carried out.


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    Title :

    Optimizing the Distribution of Shopping Center with Genetic Algorithm


    Contributors:

    Conference:

    International Conference on Traffic and Transportation Studies (ICTTS) 2002 ; 2002 ; Guilin, China



    Publication date :

    2002-07-10




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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