Abstract
Extreme events disrupt routine mobility patterns and affect citizens’ daily lives. Current disaster resilience measurements often rely on static proxies or topological analyses, failing to capture the dynamic interactions between functional organization and transportation systems, as well as critical regime shifts within the resilience process. Using big data sourced from mobile-devices, this study delineates the evolving nature of various response flows during disasters with different intensities, depicts curves illustrating shifts in maintained traffic flow proportion, maps mobility resilience heterogeneity, and examines the spatial ramifications of flow redistribution. Our findings revealed that even minor incidents prompt city-wide flow reorganization. Clusters of low resilience with gradients are caused by mobility structures rather than distance from the disaster. Arterial roads uphold connectivity for long-distance journeys, whereas branch roads facilitate shorter trips but remain vulnerable to traffic surges. Based on these findings, strategies for preparedness and emergency planning under road failure conditions are evidence-based.
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