Conventional parking demand forecasting methods are likely to overestimate the mixed land-use case by simply adding up the entire peak parking demand of all types of land uses. Focusing on the CBD of urban area, taking its land and traffic characteristics into consideration, based on the intensity of trip attraction and traffic mode split, a model of parking demand forecasting for shared parking facilities in CBD was presented.


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    Titel :

    Parking Demand Forecasting for CBD Based on Shared Parking


    Beteiligte:
    Zheng, Jingheng (Autor:in) / Chen, Jun (Autor:in) / Xie, Kai (Autor:in) / Yan, Xingchen (Autor:in) / Cai, Lei (Autor:in)

    Kongress:

    Fourth International Conference on Transportation Engineering ; 2013 ; Chengdu, China


    Erschienen in:

    ICTE 2013 ; 2157-2161


    Erscheinungsdatum :

    09.10.2013




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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