Realization of Effective Team Management Collaborating between Cloud-based System and On-site Human Activities - A Case Study of Building Damage Inspection at 2018 Hokkaido Eastern Iburi EQ-

Keiko Tamura, Munenari Inoguchi, Kei Horie, Ryota Hamamoto, Haruo Hayashi

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

The earthquake occurred on Sep 6th2018 caused all over the Abrira Town the severe physical damage. The town office had to do the building inspection operation in order to proceed support program for reconstructing livelihoods of the disaster survivors; however, the town had only 145 officials in total, so the town could assign 5 personnel on this specific duty. The research group supported the town effort to realize this duty in the quick and accurate manner utilizing the application with the mobile-GIS and cloud-based GIS. The research group focused on the developing the standardized operational procedure to manage human resources collaborating the system. In order to satisfy two conflicting requests of dealing with a large number quickly but accurately the research team designed the pattern for managing teams working with where we made the total balance among the human activity part and computer processing part. As a result, Abira town welcomed the dispatched the officials of the local administrative organ, a total of 1,128 officials, and 7,213 buildings were inspected in 22 days. Only a few numbers of people raised the objections to the results of the inspection.

本文言語英語
ホスト出版物のタイトルProceedings - 2018 IEEE International Conference on Big Data, Big Data 2018
編集者Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey Saltz
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3555-3559
ページ数5
ISBN(電子版)9781538650356
DOI
出版ステータス出版済み - 2018/07/02
イベント2018 IEEE International Conference on Big Data, Big Data 2018 - Seattle, 米国
継続期間: 2018/12/102018/12/13

出版物シリーズ

名前Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

学会

学会2018 IEEE International Conference on Big Data, Big Data 2018
国/地域米国
CitySeattle
Period2018/12/102018/12/13

ASJC Scopus 主題領域

  • コンピュータ サイエンスの応用
  • 情報システム

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