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Description: This project was created to store the videos sourced from social media and the corresponding protective-action behavior annotations during earthquakes.

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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 eart…

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