Understanding Post-Disaster Population Recovery Patterns
Takahiro Yabe (Purdue Univ.), Kota Tsubouchi, Naoya Fujiwara (Tohoku Univ.), Yoshihide Sekimoto (UTokyo) and Satish V. Ukkusuri (Purdue Univ.)
The main conference on the scientific analysis of mobile phone datasets (NetMob 2019), 2019/7
データサイエンス (Data Science)
- Recent large scale disasters have shown the existence of significant variance and disparity in recovery trajectories across cities and communities that experienced similar dam- age levels. With the increase in the availability of large mobility datasets including mobile phone call detail records, GPS logs, and social media posts, longitudinal observations of individual mobility have become possible. Studies have analyzed mobility patterns during and after various anomalous events. Despite such progress, such studies are fragmented and there is no general understanding on the population displacement and recovery patterns of communities across heterogeneous disasters and countries. In order to bridge this gap in the current literature, we analyzed large scale mobile phone GPS dataset from multiple disasters to 1) unravel the general patterns of recovery after different disasters across countries and 2) to identify key factors that explain such recovery patterns.