R. Meesit
Vulnerability assessment modelling for railway networks
Meesit, R.; Andrews, J.
Authors
Professor 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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