Urban metro is developing in the direction of the network. With the increasing scale, dealing with the sudden accident of the metro network has brought significant challenges to the relevant departments. When the metro is disrupted, it is necessary to evacuate the passengers. Emergency bus bridging is an essential means to evacuate the passengers. Notably, the core of efficient emergency bus bridging strategy is how to plan the location of the emergency bus reserve bases. Hence, this paper aims to establish the site selection model based on the vulnerability of the complex metro network, and rationally lay out the source of the emergency bridging bus in the case of sudden disruption of the complex metro network. Firstly, the space L topology model of the metro network is established, and the performance indicators of the network are analyzed by grey relational analysis (GRA), to identify the key stations. Secondly, we use a reverse covering location model to optimize the bridging response delay time and the number of reserved buses. Taking Tianjin metro network as a case study scenario, the research results of this paper are compared with those of other scholars. By comparison, the location results are better in coverage, bridging response delay time and the number of reserved buses. Therefore, the research method of this paper provides new ideas and new methods for the location of the emergency bridge bus reserve base.


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    Titel :

    Research on location of emergency bridging bus reserve bases based on metro complex network


    Beteiligte:
    Zhan, Yu (Autor:in) / Liu, Yugang (Autor:in) / Zheng, Shuai (Autor:in) / Sheng, Qian (Autor:in) / Chen, Bin (Autor:in) / Xu, Yihe (Autor:in)

    Kongress:

    Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022) ; 2022 ; Guangzhou,China


    Erschienen in:

    Proc. SPIE ; 12591 ; 125913I


    Erscheinungsdatum :

    16.02.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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