Abstract As the number of vehicles increases, the problem of parking has become more and more highlighted. This paper proposes the practice of sharing private parking space when not in use, to meet the ever-increasing parking demand through maximizing utilization of private parking lots. Optimal route and optimal parking location are two main focuses in this study on private parking sharing selection. Optimal route is a decision-making process based on the shortest travel time, using improved ant colony optimization algorithms to determine the route and travel time from travel origin to a shared private parking space, and to prepare for the quantification of the evaluation index for travel time in the shared parking space choice model, which first determines the quantified evaluation indexes according to the factors of interest when a person chooses a private parking space. Optimal parking location is determined by factoring in all the evaluation indexes and using the weighted TOPSIS model.


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    Titel :

    Research on Parking Choice Model Based on Shared Private Parking Space


    Beteiligte:
    Ding, Tongqiang (Autor:in) / Wang, Bo (Autor:in) / Zheng, Lili (Autor:in) / Xi, Jianfeng (Autor:in) / Wang, Shengli (Autor:in) / Xu, Shuangshan (Autor:in)


    Erscheinungsdatum :

    2017-07-12


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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