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ID 63251
フルテキストURL
fulltext.pdf 1.74 MB
著者
Murata, Atsuo Department of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology, Okayama University Kaken ID publons researchmap
Doi, Toshihisa Department of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology, Okayama University ORCID Kaken ID researchmap
Hasegawa, Rin Department of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology, Okayama University
Karwowski, Waldemar Department of Industrial Engineering and Management Systems, University of Central Florida
抄録
This study investigated biased prediction of cumulative precipitation, using a variety of patterns of histories of cumulative precipitation, to explore how such biased prediction could delay evacuation or evacuation orders. The irrationality in predicting the future of cumulative precipitation was examined to obtain insights into the causes of delayed evacuation or evacuation orders using a simulated prediction of future cumulative precipitation based on the cumulative precipitation history. Anchoring and adjustment, or availability bias stemming from asymmetry of information, was observed in the prediction of cumulative precipitation, and found to delay evacuation or evacuation orders.
キーワード
flooding of riverbanks
delayed evacuation
cumulative precipitation
asymmetry of information
prediction failure
anchoring and adjustment
availability bias
発行日
2021-12-22
出版物タイトル
Symmetry
14巻
1号
出版者
MDPI
開始ページ
6
ISSN
2073-8994
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© 2021 by the authors.
論文のバージョン
publisher
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.3390/sym14010006
ライセンス
https://creativecommons.org/licenses/by/4.0/