Railway accidents caused by gales are indeed influenced by multiple factors, making them a complex process. However, current research and monitoring systems often focus solely on wind speed, overlooking the combined effects of other factors. This paper proposes a data-driven assessment strategy specifically designed for high-speed railways. The disaster-inducing factor, disaster-pregnant environment, disaster-bearing body, and disaster prevention/mitigation capabilities are all taken into consideration. Moreover, it explores the interrelationships between these factors. To validate the proposed mechanism, the spatial-temporal distribution of gale-induced risks along China’s high-speed railways is studied in this paper. By analyzing and interpreting the data, the researchers are able to identify areas and time periods that are particularly prone to gale-induced accidents. These findings are crucial for the development of effective strategies for disaster prevention and mitigation in the context of high-speed railways.


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    Titel :

    Data-driven gale-induced risk assessment strategy for the high-speed railway system


    Weitere Titelangaben:

    G. Zhao et al.
    Journal of Transportation Safety & Security


    Beteiligte:
    Zhao, Guanyuan (Autor:in) / Ma, Xiaoping (Autor:in) / Qiu, Xuying (Autor:in) / Zhang, Hanqing (Autor:in) / Zhang, Zhiping (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    02.08.2024


    Format / Umfang :

    21 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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