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Ranking the critical sections of railway networks

Meesit, Ratthaphong; Andrews, John

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Authors

Ratthaphong Meesit

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



Abstract

Railway systems are now facing an increasing number of threats such as aging infrastructures and climate changes. The identification of critical network sections provides infrastructure managers with the ability to understand the impact of a disruption and creates a suitable preventive strategy to counter such threats. To this end, various vulnerability analysis methods have been proposed for railway networks. Two main types of methods, network topological analysis and network flow-based analysis, have been developed. Both approaches are constructed based on macroscopic models which take only some railway properties such as network structure, train and passenger flow into account. Thus, the results obtained are high level approximations. This study proposes a new analysis method which is developed based on the stochastic-microscopic railway network simulation model. The method can be applied to identify the critical sections of a railway network. The effect of impact levels and occurrence times of a disruption on the network section criticality are presented. An application of the proposed model is demonstrated using the Liverpool railway network in the UK.

Citation

Meesit, R., & Andrews, J. (2021). Ranking the critical sections of railway networks. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 235(3), 361-376 . https://doi.org/10.1177/0954409720925689

Journal Article Type Article
Acceptance Date Apr 18, 2020
Online Publication Date May 19, 2020
Publication Date Mar 1, 2021
Deposit Date Apr 28, 2020
Publicly Available Date Mar 29, 2024
Journal Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
Print ISSN 0954-4097
Electronic ISSN 2041-3017
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 235
Issue 3
Pages 361-376
DOI https://doi.org/10.1177/0954409720925689
Keywords Vulnerability analysis; Risk-based criticality; Simulation model; Railway network
Public URL https://nottingham-repository.worktribe.com/output/4353980
Publisher URL https://journals.sagepub.com/doi/abs/10.1177/0954409720925689

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