Topological Analytics for Vulnerability Enhancement and Recovery Strategy after Disruptions of Rail Networks in the United States

dc.contributor.advisorAyyub, Bilalen_US
dc.contributor.authorCao, Siqien_US
dc.contributor.departmentCivil Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2020-10-10T05:30:44Z
dc.date.available2020-10-10T05:30:44Z
dc.date.issued2020en_US
dc.description.abstractRail networks are real-life examples of complex networks and critical logistic and economic contributors to the wellbeing of society. Natural or human-caused hazards leading to the disruptions of rail network’s components can cause severe consequences including significant economic impacts. Therefore, analyzing rail networks and further reducing the impacts of potential disruptions are critical in order to manage risks to the performance of rail networks. Based on existing research on rail networks, this thesis proposes a methodology to analyze the rail networks with a large number of nodes, links, and complex connectivity from topological perspectives. Additionally, topology enhancement prior to failures and recovery strategies post to failures are used to reduce the impacts of potential failures based on vulnerability and resilience assessments. The analysis results of two case studies, the Amtrak and Class I rail networks, indicate that the proposed methodology is well suited to analyze and enhance the topology, vulnerability, and resilience of complex rail networks effectively and efficiently.en_US
dc.identifierhttps://doi.org/10.13016/5ydp-q7l7
dc.identifier.urihttp://hdl.handle.net/1903/26571
dc.language.isoenen_US
dc.subject.pqcontrolledCivil engineeringen_US
dc.titleTopological Analytics for Vulnerability Enhancement and Recovery Strategy after Disruptions of Rail Networks in the United Statesen_US
dc.typeThesisen_US

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