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Assessing Urban Rail Transit Systems Vulnerability: Metrics vs. Interdiction Models

Starita, Stefano and Esposito Amideo, Annunziata and Scaparra, Maria Paola (2018) Assessing Urban Rail Transit Systems Vulnerability: Metrics vs. Interdiction Models. In: D’Agostino, G, ed. Critical Information Infrastructures Security. Lecture Notes in Computer Science . Springer. ISBN 978-3-319-99842-8. E-ISBN 978-3-319-99843-5. (doi:10.1007/978-3-319-99843-5_13) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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Abstract

Urban rail transit systems are highly vulnerable to a variety of disruptions, including accidental failures, natural disasters and terrorist attacks. Due to the crucial role that railway infrastructures play in economic development, productivity and social well-being of communities, evaluating their vulnerability and identifying their most critical components is of paramount importance. Two main approaches can be deployed to assess transport infrastructure vulnerabilities: vulnerability metrics and interdiction models. In this paper, we compare these two approaches and apply them to the Central London Tube to identify the most critical stations with respect to accessibility, efficiency and flow measures.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-319-99843-5_13
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Faculties > Social Sciences > Kent Business School > Management Science
Faculties > Social Sciences > Kent Business School > Centre for Logistics and Heuristic Organisation (CLHO)
Depositing User: Maria Paola Scaparra
Date Deposited: 15 Nov 2017 15:38 UTC
Last Modified: 01 Aug 2019 10:42 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/64450 (The current URI for this page, for reference purposes)
Esposito Amideo, Annunziata: https://orcid.org/0000-0002-7284-9690
Scaparra, Maria Paola: https://orcid.org/0000-0002-2725-5439
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