Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113832
DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorGu, Y-
dc.creatorChen, A-
dc.creatorXu, Y-
dc.creatorKitthamkesorn, S-
dc.date.accessioned2025-06-25T06:06:19Z-
dc.date.available2025-06-25T06:06:19Z-
dc.identifier.issn0968-090X-
dc.identifier.urihttp://hdl.handle.net/10397/113832-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectCombined multi-infrastructure disruptionen_US
dc.subjectRoute redundancyen_US
dc.subjectUrban rail transit networken_US
dc.subjectVulnerability envelopeen_US
dc.titleModeling vulnerability envelope of urban rail transit networks under simultaneous disruptions of stations and line sectionsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume169-
dc.identifier.doi10.1016/j.trc.2024.104887-
dcterms.abstractThis 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.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTransportation research. Part C, Emerging technologies, Dec. 2024, v. 169, 104887-
dcterms.isPartOfTransportation research. Part C, Emerging technologies-
dcterms.issued2024-12-
dc.identifier.scopus2-s2.0-85206874116-
dc.identifier.eissn1879-2359-
dc.identifier.artn104887-
dc.description.validate202506 bcwh-
dc.identifier.FolderNumbera3790en_US
dc.identifier.SubFormID51089en_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextMTR Research Funding Scheme from the MTR Academyen_US
dc.description.fundingTextSmart Cities Research Institute (CDA9)en_US
dc.description.fundingTextResearch Institute of Land and Space (1-CD7N) at the Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2026-12-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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