Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
37th (2023)
Session ID : 4Xin1-04
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Understanding the ever-changing information needs during disaster situations
*Kota TSUBOUCHITatsuru HIGURASHIShinya FUJISHIMAShigeki ASOU
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

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.

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© 2023 The Japanese Society for Artificial Intelligence
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