2016年熊本地震におけるTwitterを用いた被災者ニーズ推定モデルの検討

抄録

Understanding the spatial distribution of information on the needs of victims and damage from the content of tweets is a difficult task. The purpose of this study is to investigate a model for estimating the needs of victims expressed in tweets by performing spatial interpolation using kriging on the distribution of seismic intensity and tweets posted after the 2016 Kumamoto earthquake. As a result, it is suggested that the blank area where tweets about the situation of the victims are not sent out can be a clue to grasp the actual damage situation in the affected areas.