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Correlational Structure Modelling for Fall Accident Risk Factors of Portable Ladders Using Co-occurrence Keyword Networks

동시 출현 기반 키워드 네트워크 기법을 이용한 이동식 사다리 추락 재해 위험 요인 연관 구조 모델링

  • Hwang, Jong Moon (Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency) ;
  • Shin, Sung Woo (Department of Safety Engineering, Pukyong National University)
  • 황종문 (한국산업안전보건공단 산업안전보건연구원) ;
  • 신성우 (부경대학교 안전공학과)
  • Received : 2021.03.31
  • Accepted : 2021.05.17
  • Published : 2021.06.30

Abstract

The main purpose of accident analysis is to identify the causal factors and the mechanisms of those factors leading to the accident. However, current accident analysis techniques focus only on finding the factors related to the accident without providing more insightful results, such as structures or mechanisms. For this reason, preventive actions for safety management are concentrated on the elimination of causal factors rather than blocking the connection or chain of accident processes. This greatly reduces the effectiveness of safety management in practice. In the present study, a technique to model the correlational structure of accident risk factors is proposed by using the co-occurrence keyword network analysis technique. To investigate the effectiveness of the proposed technique, a case study involving a portable ladder fall accident is conducted. The results indicate that the proposed technique can construct the correlational structure model of the risk factors of a portable ladder fall accident. This proves the effectiveness of the proposed technique in modeling the correlational structure of accident risk factors.

Keywords

Acknowledgement

이 논문은 2019학년도 부경대학교 연구년 교원 지원사업에 의하여 연구되었음.

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