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Vulnerability assessment modelling for railway networks

Meesit, R.; Andrews, J.

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Authors

R. Meesit

JOHN ANDREWS john.andrews@nottingham.ac.uk
Professor of Infrastructure Asset Management



Abstract

Railway networks are prone to many different potential disruptive events such as technical failures (e.g. the failure of aging components), natural disasters (e.g. flooding) and intentional man-made disasters (e.g. trespass and suicide). Assessing the vulnerability of railway networks can help infrastructure managers to create the right preventive strategies to improve the robustness and the resilience of railway networks before the occurrence of disruptions. This study proposes a stochastic-vulnerability analysis model that enables the critical components of railway networks to be identified. The model is developed using a discrete event simulation technique. Its framework includes modules for assigning the disruption to the network components, predicting the network vulnerability, in terms of passenger delays and journey cancellations, and calculating the risk-based criticality of network components. Finally, an example application of the model is presented using a part of the East Midland railway network in UK.

Citation

Meesit, R., & Andrews, J. (2018, June). Vulnerability assessment modelling for railway networks. Presented at 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR 2018), Manchester, UK

Presentation Conference Type Edited Proceedings
Conference Name 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR 2018)
Start Date Jun 13, 2018
End Date Jun 15, 2018
Acceptance Date Mar 7, 2018
Online Publication Date Jun 13, 2018
Publication Date Jun 13, 2018
Deposit Date May 21, 2018
Publicly Available Date Jun 13, 2018
Peer Reviewed Peer Reviewed
Book Title Proceedings of the 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability
Chapter Number n/a
ISBN 978-0-905091-32-7
DOI https://doi.org/10.19124/ima.2018.001.16
Public URL https://nottingham-repository.worktribe.com/output/937764
Publisher URL https://ima.org.uk/vulnerability-assessment-modelling-for-railway-networks/
Contract Date May 21, 2018

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