Modeling protective action decision-making in earthquakes by using explainable machine learning and video data

Modeling protective action decision-making in earthquakes by using explainable machine learning and video data

Abstract Earthquakes pose substantial threats to communities worldwide. Understanding how people respond to the fast-changing environment during earthquakes is crucial for reducing risks and saving lives. This study aims to study people’s protective action decision-making in earthquakes by leveragin...

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Bibliographic Details
Main Authors: Xiaojian Zhang, Xilei Zhao, Dare Baldwin, Sara McBride, Josephine Bellizzi, Elizabeth S. Cochran, Nicholas Luco, Matthew Wood, Thomas J. Cova
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-55584-7

Internet

https://doi.org/10.1038/s41598-024-55584-7

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