With the continuous increase of open lines and operational mileage, the operational safety and efficiency of urban rail transit have attracted more and more attention from experts and the society. To reveal the law of occurrence of various failures and emergencies and provide support for further research and decision-making, this paper selects credible Internet information as the data source, uses keyword screening method, regular extraction method and other methods to extract urban rail failure information, and refers to relevant literature and documents to reclassify the data. The statistical analysis method is used to analyze the attribution of the data from the annual occurrence, the time period of the occurrence and the troubleshooting time. It reveals that the failures and emergencies occurrence period is mainly concentrated in the morning peak period, and there is another small peak in the evening peak period. The difference in the troubleshooting time of various types of failures and emergencies is analyzed. The analytic hierarchy process was used to evaluate the impact of various failures and emergencies on operations. We suggest establishing a standardized failure and emergency information format and setting up a database for further research.


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    Title :

    Data Analysis and Operational Impact Analysis of Urban Rail Transit Failure and Emergency: Evidence from Credible Internet


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liang, Jianying (editor) / Jia, Limin (editor) / Qin, Yong (editor) / Liu, Zhigang (editor) / Diao, Lijun (editor) / An, Min (editor) / Ze, Shen (author) / Xiaoyong, Wang (author) / Lun, Zhang (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2021 October 21, 2021 - October 23, 2021



    Publication date :

    2022-02-19


    Size :

    17 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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