{"title":"Modeling vulnerability envelope of urban rail transit networks under simultaneous disruptions of stations and line sections","authors":"Yu Gu , Anthony Chen , Yingying Xu , Songyot Kitthamkesorn","doi":"10.1016/j.trc.2024.104887","DOIUrl":null,"url":null,"abstract":"<div><div>This paper develops a modeling approach to analyze the vulnerability of an urban rail transit network (URTN) under disruptions of rail stations, line sections, and their various combinations. The recently developed concept of vulnerability envelope is adapted to understand the possible performances of URTN under different severities of disruptions. Single-level optimization models are developed to derive the upper and lower bounds of URTN vulnerability envelope with consideration of rail transit route redundancy, which reflects the required level of service quality from the perspective of rail transit passengers. The difference between upper and lower URTN vulnerability bounds captures the range of URTN performance losses among all possible disruption scenarios. Numerical examples based on the Nanjing and Hong Kong metro networks are conducted to illustrate the properties and verify the applicability of the developed models. The results show that the proposed URTN vulnerability envelope is effective to analyze the possible range of URTN with different operability requirements under combined multi-infrastructure disruptions. Outcome of the developed method is useful for vulnerability assessment and important infrastructure identification, which may facilitate the vulnerability-oriented decision-making in URTNs.</div></div>","PeriodicalId":54417,"journal":{"name":"Transportation Research Part C-Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":7.6000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part C-Emerging Technologies","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0968090X2400408X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This paper develops a modeling approach to analyze the vulnerability of an urban rail transit network (URTN) under disruptions of rail stations, line sections, and their various combinations. The recently developed concept of vulnerability envelope is adapted to understand the possible performances of URTN under different severities of disruptions. Single-level optimization models are developed to derive the upper and lower bounds of URTN vulnerability envelope with consideration of rail transit route redundancy, which reflects the required level of service quality from the perspective of rail transit passengers. The difference between upper and lower URTN vulnerability bounds captures the range of URTN performance losses among all possible disruption scenarios. Numerical examples based on the Nanjing and Hong Kong metro networks are conducted to illustrate the properties and verify the applicability of the developed models. The results show that the proposed URTN vulnerability envelope is effective to analyze the possible range of URTN with different operability requirements under combined multi-infrastructure disruptions. Outcome of the developed method is useful for vulnerability assessment and important infrastructure identification, which may facilitate the vulnerability-oriented decision-making in URTNs.
期刊介绍:
Transportation Research: Part C (TR_C) is dedicated to showcasing high-quality, scholarly research that delves into the development, applications, and implications of transportation systems and emerging technologies. Our focus lies not solely on individual technologies, but rather on their broader implications for the planning, design, operation, control, maintenance, and rehabilitation of transportation systems, services, and components. In essence, the intellectual core of the journal revolves around the transportation aspect rather than the technology itself. We actively encourage the integration of quantitative methods from diverse fields such as operations research, control systems, complex networks, computer science, and artificial intelligence. Join us in exploring the intersection of transportation systems and emerging technologies to drive innovation and progress in the field.