In view of the fact that existing metrics such as reliability and vulnerability cannot effectively and comprehensively describe road network performances under sudden major disruptive events, a connectivity resilience metric together with two resilience-based component importance measures are proposed. Bayesian network (BN) is served as a modelling tool which is used to assess the road network resilience and component importance under different earthquake magnitudes, and a case study is conducted on the Nguyen and Dupuis network. The results show that the higher the earthquake level, the lower the system resilience. The road network resilience can be deduced from links resilience and critical links can be found by BN. Two resilience-based link importance measures can effectively rank the importance of links, and the importance ranks of most links change over time. All these conclusions verify the feasibility of the proposed model.


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    Title :

    Connectivity resilience assessment of urban road networks under earthquake based on Bayesian network


    Contributors:
    Gao, Ziqiang. (author) / Lv, Biao. (author) / Guan, Xinyi. (author) / Cai, Mengyu. (author)


    Publication date :

    2020-09-20


    Size :

    429520 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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