Abstract
Mobile phone location data enable us to overview the damage of disaster on human behavior from new viewpoints. In this research, we proposed the new viewpoints and methodology for observing the damage and recovery process on human mobility patterns from mobile phone location data. The methodology were applied to the “congestion statistics ®” data for analyzing the Kumamoto Earthquake 2016. The results indicate that the proposed methodology can estimate the rough number of evacuees. Moreover this methodology enable us to obtain additional information (ex. conditions of working or moving behavior) in real time. These information help us to decide the disaster response and relief supply strategies.
