[4Xin1] Poster session 2

[4Xin1-04] Understanding the ever-changing information needs during disaster situations

〇Kota Tsubouchi¹, Tatsuru Higurashi¹, Shinya Fujishima², Shigeki Asou² (1.Yahoo Japan Corporation, 2.Japan Broadcasting Corporation)

Keywords:Disaster Prevention, Location Data, Search History Data

This study, utilizing past actual disasters as case studies, analyzed the location and search history information of users in affected areas to determine the existence of specific evacuation signals in each area. The data from the 2022 Typhoon No. 14 disaster was evaluated, and information regarding the operation of major transportation systems and the closure of local grocery stores were identified as evacuation signals. Regional variations in evacuation signals were also identified. Providing information that is pertinent to the user's context can elicit appropriate evacuation behavior in the event of a disaster.