Machine learning-based identification and assessment of snow disaster risks using multi-source data: Insights from Fukui prefecture, Japan

Machine learning-based identification and assessment of snow disaster risks using multi-source data: Insights from Fukui prefecture, Japan

Understanding the driving factors behind snowstorm risk and their nonlinear effects is critical for developing effective response strategies. This study, focusing on the 2018 Fukui snowstorm in Japan, integrates multi-source data, including mobile GPS data, Digital Elevation Model (DEM) data, road d...

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Bibliographic Details
Main Authors: Zhenyu Yang, Hideomi Gokon, Qing Yu
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Progress in Disaster Science
Subjects:
Snow disaster
Multi-source data
Machine learning
SHAP
Non-linear effects
Online Access:http://www.sciencedirect.com/science/article/pii/S2590061725000237
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