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  1. 防災科研関係論文

Implementation of Effective Field Survey for Damaged Buildings under Harmonious Collaboration between Human and ICT - A Case Study of 2018 Hokkaido Eastern Iburi Earthquake -

https://nied-repo.bosai.go.jp/records/6702
https://nied-repo.bosai.go.jp/records/6702
f61a3f42-e541-4ec2-84a3-01484b1deb8f
Item type researchmap(1)
公開日 2024-10-14
タイトル
言語 en
タイトル Implementation of Effective Field Survey for Damaged Buildings under Harmonious Collaboration between Human and ICT - A Case Study of 2018 Hokkaido Eastern Iburi Earthquake -
言語
言語 eng
著者 Munenari Inoguchi

× Munenari Inoguchi

en Munenari Inoguchi

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Keiko Tamura

× Keiko Tamura

en Keiko Tamura

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Kei Horie

× Kei Horie

en Kei Horie

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Ryota Hamamoto

× Ryota Hamamoto

en Ryota Hamamoto

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Haruo Hayashi

× Haruo Hayashi

en Haruo Hayashi

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抄録
内容記述タイプ Other
内容記述 Based on the experience at past disasters, we have developed the effective method of inspection for each building damage. In this method, we developed only paper-based forms for damage inspection. However, with paper-based forms, we cannot control the quality of collected information, we cannot grab the progress of building damage inspection in real-time, and we cannot draw the whole picture of building damage in the affected area for rational and immediate decision making. Against these issues, we decided to develop an integrated system for effective and efficient building damage inspection utilizing mobile-GIS and cloud-based GIS. We designed the flow of Information Production dealing with information as a product, and developed an integrated system. In this process, we consider about how to realize harmonious collaboration between human and ICT. Finally, we implemented it at Abira town in Hokkaido, which was affected by 2018 Hokkaido Eastern Iburi Earthquake on 6th September. Through the on-site implementation for one month, we and local responders finished the damage inspection for all buildings placed in Abira town, which was over 7,200. Furthermore, we found that system supported their activity effectively, and we detected some issues we should solve for implementation at future disaster.
言語 en
書誌情報 en : Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

p. 3504-3509, 発行日 2019-01-22
出版者
言語 en
出版者 Institute of Electrical and Electronics Engineers Inc.
DOI
関連識別子 10.1109/BigData.2018.8622648
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