DisasterNeedFinder: A Framework for Understanding the Information Needs in the Noto Earthquake

Kota Tsubouchi, Shuji Yamaguchi, Keijirou Saitou, Akihisa Soemori, Masato Morita, Shigeki Asou

Abstract: We propose and demonstrate the DisasterNeedFinder framework in order to provide appropriate information support for the Noto Peninsula Earthquake. In the event of a large-scale disaster, it is essential to accurately capture the ever-changing information needs.As a data-driven approach, we aim to pick up precise information needs at the site by integrally analyzing the location information of disaster victims and search information. The idea of assuming that the magnitude of information needs is not the volume of searches, but the degree of abnormalities in searches, enables an appropriate understanding of the information needs of the disaster victims in low population area. DNF has been continuously clarifying the information needs of disaster areas since the disaster strike, and has been recognized as a new approach to support disaster areas by being featured in the major Japanese media on several occasions. (For more information on this short paper, please refer to the Tsubouchi et al.[8].)