{"title":"Vulnerability Analysis of Urban Rail Transit Network under Line Interruption Operation","authors":"Liqiao Ning, Binglei Xie, Xi Zhang, Wenkai Xu","doi":"10.1109/ICITE50838.2020.9231452","DOIUrl":null,"url":null,"abstract":"This study contributes to the vulnerability analysis of urban rail transit network under line interruption operation. Based on the complex network theory, the urban rail transit network model is built to provide an abstract description of the network structure. Considering the interruption influences, the measurement indicators of network vulnerability are developed to quantify and measure the influence of interruption from the perspective of both the topology structure and passenger service. Then, a vulnerability analysis framework is established to implement a comprehensive analysis of network. Finally, a case study on Shenzhen metro network is conducted and results show that the passenger service network seems more resistant than the topology structure network.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITE50838.2020.9231452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This study contributes to the vulnerability analysis of urban rail transit network under line interruption operation. Based on the complex network theory, the urban rail transit network model is built to provide an abstract description of the network structure. Considering the interruption influences, the measurement indicators of network vulnerability are developed to quantify and measure the influence of interruption from the perspective of both the topology structure and passenger service. Then, a vulnerability analysis framework is established to implement a comprehensive analysis of network. Finally, a case study on Shenzhen metro network is conducted and results show that the passenger service network seems more resistant than the topology structure network.