In recent years, urban road traffic is frequently affected by various abnormal events, which not only damage the traffic facilities, but also have an impact on the operation of social economy. Therefore, it has become an important research direction to explore the resilience of urban road traffic, identify its influencing factors, and analyze the advantages and disadvantages of urban traffic resilience. This paper takes Beijing and Shanghai as the research objects, uses analytic hierarchy process (AHP) to construct the urban road traffic resilience evaluation index system, obtains the index data from 2017 to 2021, and evaluates the urban road traffic resilience according to the index weights by using the grey relational degree model. The main research content is the evaluation of urban road traffic resilience, the exploration of influencing factors and the optimization strategy. The results show that road traffic resilience in Beijing and Shanghai is closely related to each index.


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    Titel :

    Research on Evaluation and Optimization Strategy of Road Traffic Resilience


    Weitere Titelangaben:

    Advances in Engineering res


    Beteiligte:
    Chen, Gongfa (Herausgeber:in) / Guo, Baohua (Herausgeber:in) / Chen, Yan (Herausgeber:in) / Guo, Jingwei (Herausgeber:in) / Wang, Kai (Autor:in) / Fan, Aihua (Autor:in) / Wang, Kefeng (Autor:in)

    Kongress:

    International Conference on Rail Transit and Transportation ; 2024 ; Jiaozuo, China October 10, 2024 - October 12, 2024



    Erscheinungsdatum :

    15.12.2024


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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