Development of Prototype System to Generate Chronological Response Scenario Dataset by Assembling Multi-responders' Action Logs at Past Disaster

Munenari Inoguchi*

*この論文の責任著者

研究成果: 書籍の章/レポート/会議録会議への寄与査読

抄録

In recent years, various kinds of disasters such as landslide disasters, heavy rain-fall disasters, and earthquake disasters have occurred in any area of Japan. In the case of a large-scale disaster, local governments tend to verify the disaster response, identify issues, and consider solutions. However, in the case of other disasters, the response is managed on a department-by-department basis, and it is rarely summarized comprehensively and the overall picture of the disaster response is not reviewed. On the other hand, assuming training, a disaster response scenario is essential. However, although experienced people and researchers create scenarios reviewing past disasters as examples, they are based on their own experience and they are not necessarily reflected all the actual conditions of past disasters.Against this issue, we designed and developed a web application that comprehensively organizes the action logs in chronological order reflecting the structure of the organization even though those action logs are managed individually by each department. With this tool, based on the accumulated dataset, past response logs are given to a user as situations for each time step, and the user can easily and quickly experience disaster response drill.

本文言語英語
ホスト出版物のタイトルProceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
編集者Yixin Chen, Heiko Ludwig, Yicheng Tu, Usama Fayyad, Xingquan Zhu, Xiaohua Tony Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3519-3521
ページ数3
ISBN(電子版)9781665439022
DOI
出版ステータス出版済み - 2021
イベント2021 IEEE International Conference on Big Data, Big Data 2021 - Virtual, Online, 米国
継続期間: 2021/12/152021/12/18

出版物シリーズ

名前Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

学会

学会2021 IEEE International Conference on Big Data, Big Data 2021
国/地域米国
CityVirtual, Online
Period2021/12/152021/12/18

ASJC Scopus 主題領域

  • 情報システムおよび情報管理
  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム

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