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ID 63251
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Author
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
Abstract
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.
Keywords
flooding of riverbanks
delayed evacuation
cumulative precipitation
asymmetry of information
prediction failure
anchoring and adjustment
availability bias
Published Date
2021-12-22
Publication Title
Symmetry
Volume
volume14
Issue
issue1
Publisher
MDPI
Start Page
6
ISSN
2073-8994
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© 2021 by the authors.
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publisher
DOI
Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.3390/sym14010006
License
https://creativecommons.org/licenses/by/4.0/