Qualified with benefits in the aspects of environment, economy, and society, urban rail transit presents a rapid development in China during recent decades. Increasing initiatives and practices with views to facilitate people's lives and intensively utilize land resources have been engaged. Accordingly, urban rail transit stations with multi-layer structure integrated in three-dimensional space have been designed and built in many cities. Due to the complexity of the rail transit stations, there is a need to identify those high-risk nodes in the stations and develop relevant risk management strategies. Therefore, this paper introduces a new approach to identify high-risk nodes in the urban rail transit stations through field investigation and complex network analysis. The Chongqing Lianglukou rail transit station was selected for case study. With the determined high-risk nodes, rail transit management firms can develop relevant risk mitigation measures for those high-risk nodes, re-allocate their resources to create a safe and secure environment for passengers in urban rail transit stations.


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    Titel :

    High-Risk Nodes Determination for the Urban Rail Transit Station


    Beteiligte:
    Xu, Hui (Autor:in) / Tan, Yongtao (Autor:in) / Chen, Shulin (Autor:in) / Zheng, Junwei (Autor:in) / Shen, Ningxin (Autor:in)

    Kongress:

    International Conference on Construction and Real Estate Management 2018 ; 2018 ; Charleston, South Carolina


    Erschienen in:

    ICCREM 2018 ; 139-146


    Erscheinungsdatum :

    2018-08-08




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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