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Resilience or robustness: Identifying topological vulnerabilities in rail networks

Pagani, A; Mosquera, G; Alturki, A; Johnson, S; Jarvis, S; Wilson, A; Guo, W; (2019) Resilience or robustness: Identifying topological vulnerabilities in rail networks. Royal Society Open Science , 6 (2) , Article 181301. 10.1098/rsos.181301. Green open access

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Abstract

Many critical infrastructure systems have network structures and are under stress. Despite their national importance, the complexity of large-scale transport networks means that we do not fully understand their vulnerabilities to cascade failures. The research conducted through this paper examines the interdependent rail networks in Greater London and surrounding commuter area. We focus on the morning commuter hours, where the system is under the most demand stress. There is increasing evidence that the topological shape of the network plays an important role in dynamic cascades. Here, we examine whether the different topological measures of resilience (stability) or robustness (failure) are more appropriate for understanding poor railway performance. The results show that resilience, not robustness, has a strong correlation with the consumer experience statistics. Our results are a way of describing the complexity of cascade dynamics on networks without the involvement of detailed agent-based models, showing that cascade effects are more responsible for poor performance than failures. The network science analysis hints at pathways towards making the network structure more resilient by reducing feedback loops.

Type: Article
Title: Resilience or robustness: Identifying topological vulnerabilities in rail networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1098/rsos.181301
Publisher version: https://doi.org/10.1098/rsos.181301
Language: English
Additional information: Copyright © 2019 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, provided the original author and source are credited.
Keywords: complex networks, robustness, rich-core club, trophic coherence, resilience
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10071494
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