behavior

Human Mobility Prediction and Simulation After Natural Disasters: A Big Data Approach Using GPS Tracking and Machine Learning

This peer-reviewed journal article presents a computational framework for predicting and simulating population movements following large-scale natural disasters, developed through analysis of big and heterogeneous data from Japan. Using GPS records from 1.6 million anonymized users collected over three years, alongside earthquake intensity data, government declarations, news reports, and urban transportation network data, the authors

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Preparedness in America: Research Insights to Increase Individual, Organizational, and Community Action

Advances our understanding of the complexities of motivating the public to prepare by examining trend data on personal preparedness behaviors and by providing findings on several new areas of analysis: Exploring the relationship between preparedness behaviors and individuals’ beliefs and experiences around disasters; Identifying profiles of the general public to assist practitioners in conducting more

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