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Research Suggestion for Disaster Prediction using Safety Report of Korea Government

안전신문고를 이용한 재난 예측 방법론 제안

  • Lee, Jun (Transport Safety & Disaster Prevension Research Center, Korea Transport Institute (KOTI)) ;
  • Shin, Jindong (Safety Research Division, National Disaster Management Research Institute (NDMI)) ;
  • Cho, Sangmyeong (Life Safety Policy Bureau, Ministry of the Interior and Safety (MOIS)) ;
  • Lee, Sanghwa (Industrial-Academic Cooperation Foundation, Mokwon University)
  • 이준 (한국교통연구원 안전방재연구센터) ;
  • 신진동 (국립재난안전연구원 안전연구실) ;
  • 조상명 (행정안전부 안전정책실) ;
  • 이상화 (목원대학교 산학협력단)
  • Received : 2019.11.14
  • Accepted : 2019.12.16
  • Published : 2019.12.31

Abstract

Anjunshinmungo (The safety e-report) has been in operation since 2014, and there are about 1 million cumulative reports by June 2019. This study analyzes the contents of more than 1 million safety newspapers reported at the present time of information age to determine how powerful and meaningful the people's voice and interest are. In particular, we are interested in forecasting ability. We wanted to check whether the report of the safety newspaper was related to possible disasters. To this end, the researchers received data reported in the safety newspaper as text and analyzed it by natural language analysis methodology. Based on this, the newspaper articles during the analysis of the safety newspaper were analyzed, and the correlation between the contents of the newspaper and the newspaper was analyzed. As a result, accidents occurred within a few months as the number of reports related to response and confirmation increased, and analyzing the contents of safety reports previously reported on social instability can be used to predict future disasters.

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