Quatifying Disaster Damage Based on The Use of Collective Intelligence
| Project/Area Number |
26560194
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Natural disaster / Disaster prevention science
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| Research Institution | Kansai University |
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Principal Investigator |
Kawata Yoshiaki 関西大学, 社会安全学部, 特別任命教授 (10027295)
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | 縮災 / 首都直下地震 / 南海トラフ巨大地震 / 社会経済被害 / 集合知 / 国難 / 災害 / 復興 / ネット集合知 / 定性的被害 / 社会経済被害額 / 被害想定 / ネット / 最悪の被災シナリオ / 東日本大震災 / 被害の定量化 |
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| Outline of Final Research Achievements |
In this study, the author developed a method in which the descriptions of damage scenarios are collected from over a thousand people and the damage costs evaluated by examining the frequency of used words. Specifically, a questionnaire survey was first conducted to extract the people's views of disaster, and the frequencies of specific words used in these descriptions of disaster were used as indicators of damage. It was then assumed that the difference in the appearance of these words in newspaper articles before and after an actual disaster represents the damage impact, and this difference was used to estimate the damage costs. The results suggested the possibility of developing an evaluation method based on collective intelligence, as well as the need to improve refine the method in the future.
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Report
(5 results)
Research Products
(47 results)
