Quatifying Disaster Damage Based on The Use of Collective Intelligence

2017 Fiscal Year Final Research Report

• Project/Area Number: 26560194
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Natural disaster / Disaster prevention science
• Research Institution: Kansai University
• Principal Investigator: Kawata Yoshiaki 関西大学, 社会安全学部, 特別任命教授 (10027295)
• Project Period (FY): 2014-04-01 – 2018-03-31
• 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

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.

Free Research Field

防災・減災・縮災