Characterising the high spatial heterogeneity of urban flood resilience under extreme rainfall using mobile signal data

Characterisation of the spatial heterogeneity of urban flood resilience (UFR) under extreme rainfall events can support decision-making in urban planning and emergency management. Traditional flood-resilience assessment methods based on socioeconomic or infrastructure statistics, face challenges in...

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Autori principali:	Junqi Mao, Xiaoyan Cao, Runqiao Zhang, Junqing Tang, Pengjun Zhao, Huapeng Qin
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Taylor & Francis Group 2026-12-01
Serie:	Geomatics, Natural Hazards & Risk
Soggetti:	Urban flood resilience urban operational efficiency mobile signal big data resilience matrix spatial attention-based machine learning
Accesso online:	https://www.tandfonline.com/doi/10.1080/19475705.2025.2605116
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