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March 3, 2026Reliability Engineering & System Safety0 citationsOpen Access

Beyond waterlogging: Evaluating the impact of extreme rainfall on the road network

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JLJie LiuZXZizhen XuLWLi Wan

Key Points

  • The study reveals that overestimating road capacities leads to inaccurate assessments of network efficiency due to extreme rainfall effects.
  • Road capacities can be overestimated by 15-30% if reduced visibility and power outages are disregarded under different rainfall scenarios.
  • Analysis across 26 Local Government Areas indicates the largest impact underestimation occurs during 1-in-30-year rainfall risk events.
  • Limited effects of traffic signal power failures highlight the need for broader considerations in transport network evaluations.

Abstract

Existing research of extreme rainfall impact on transport networks primarily examines the effect of waterlogging. Although the other two main factors-reduced visibility and traffic-signal power outages-have been shown to significantly affect road operation, their contributions at the network scale remain underexplored. Taking a macroscopic approach, this study gauges the impacts of these three factors on the road network connectivity and efficiency during extreme rainfall through a case study of 26 Local Government Areas in and around Greater London. The result shows that focusing solely on waterlogging while disregarding reduced visibility and traffic signal power failures overestimates road capacities by 15-30% and underestimates network efficiency impacts by 1–23% under different rainfall scenarios. Particularly, the largest impact underestimation is observed for 1-in-30-year rainfall risk, where waterlogging is less dominant, while poor visibility considerably contributes to the impacts. The analysis also suggests that signal power failures during rainfall have limited, localised effects at the network level.

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Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/69a75dcac6e9836116a28040https://doi.org/10.1016/j.ress.2026.112308
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