most citedPredicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data

6 citations · 7 across the 3 of their papers we have counts for

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stat.AP2024★ 1 cited

Non-locality and Spillover Effects of Residential Flood Damage on Community Recovery: Insights from High-resolution Flood Claim and Mobility Data

Junwei Ma, Russell Blessing, Samuel Brody +1

Examining the relationship between vulnerability of the built environment and community recovery is crucial for understanding disaster resilience. Yet, this relationship is rather…