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© 2025 Elsevier Ltd. Urban transportation systems face growing risks from climate-induced disasters and infrastructure disruptions. This study presents a resilience-oriented evaluation framework integrating microscopic traffic simulation via SUMO to examine both structural and functional performance of urban road networks facing four distinct emergency scenarios. Utilized in the context of China's Greater Bay Area, the framework quantifies system responses in terms of travel delays, congestion propagation, and network connectivity. Results indicate that (i) peak-hour delays are nearly six times higher than off-peak under severe disturbances; (ii) flood events lead to the highest departure delays despite limited changes in travel distance; and (iii) failure of coastal bridges triggers significant structural fragmentation. These findings highlight spatial temporal vulnerabilities in urban transport systems and provide actionable insights for emergency traffic management, climate adaptation planning, and resilient infrastructure design in rapidly urbanizing regions.
Author(s): Wang W, Wan Y, Liu Q, Liu H, Li C, Yang S, Lai X, Liu Y, Yue Q
Publication type: Article
Publication status: Published
Journal: Transportation Research Part D: Transport and Environment
Year: 2026
Volume: 151
Print publication date: 01/02/2026
Online publication date: 10/12/2025
Acceptance date: 03/12/2025
ISSN (print): 1361-9209
ISSN (electronic): 1879-2340
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.trd.2025.105158
DOI: 10.1016/j.trd.2025.105158
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