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Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data
Takahiro Yabe1, Yoshihide Sekimoto1,2, Kota Tsubouchi3
1Department of Civil Engineering, University of Tokyo, Tokyo, Japan.
Plos One
|February 21, 2019
Summary
Predicting earthquake evacuation is crucial. This study reveals individual evacuation probability strongly depends on seismic intensity, with a critical threshold around 5.5, simplifying disaster response predictions.
Area of Science:
- Disaster Science
- Mobility Studies
- Geophysics
Background:
- Understanding evacuation mobility dynamics after disasters is vital for effective disaster relief.
- Limited empirical evidence exists on individual evacuation behavior across multiple disaster events.
Purpose of the Study:
- To analyze large-scale GPS mobility data to understand individual evacuation behavior following major earthquakes.
- To identify key factors influencing evacuation decisions and distances.
Main Methods:
- Analysis of anonymized GPS trajectories from over 1 million mobile phone users before and after four major Japanese earthquakes.
- Cross-comparative analysis of evacuation patterns across different seismic events and urban characteristics.
Main Results:
- Individual evacuation probability is strongly dependent on experienced seismic intensity, with a critical threshold around seismic intensity 5.5.
- Evacuation probability patterns were consistent across all analyzed earthquakes, regardless of event specifics or urban setting.
- The distance individuals evacuate is independent of the seismic intensity experienced.
Conclusions:
- Evacuation behavior following earthquakes exhibits a predictable pattern primarily driven by seismic intensity.
- These findings can aid in developing efficient computational models for predicting evacuee numbers using seismic intensity and population data.
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