Ratthaphong Meesit
Ranking the critical sections of railway networks
Meesit, Ratthaphong; Andrews, John
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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