Journal
ROYAL SOCIETY OPEN SCIENCE
Volume 6, Issue 2, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rsos.181301
Keywords
complex networks; resilience; robustness; trophic coherence; rich-core club
Categories
Funding
- EPSRC Engineering Complexity Resilience Network Plus [EP/N010019/1]
- EPSRC Centre for Doctoral Training in Urban Science and Progress [EP/L016400/1]
- MRC Centre for Doctoral Training in Mathematics for Real World Systems [EP/L015374/1]
- Lloyd's Register Foundation's Programme for Data-Centric Engineering at The Alan Turing Institute
- EPSRC
- EPSRC [EP/N010019/1] Funding Source: UKRI
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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.
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