Profiling of Workers based on Safety Accident Big Data in Construction Site

건설현장 안전사고 빅 데이터 기반 작업자별 프로파일 분석

  • 강성원 (경기대학교 건축공학과) ;
  • 이기석 (경기대학교 건축공학과) ;
  • 유위성 (한국건설산업연구원) ;
  • 신윤석 (경기대대학교 건축공학과)
  • Published : 2021.05.20

Abstract

Recently, the government is pursuing to reduce the serious accidents in most industries, including the construction industry, by enacting laws on punishment. The accident rate tends to be depended on the size and type of construction sites, and the accidents occur frequently due to inadequate implementation of safety management system and management standards, especially, in small and medium-sized sites. This study has performed the profiling of 265,000 accident cases on construction sites by attribute analysis such as the ratio of days lost to work, and pattern of days lost to work compared to the size of the construction. It turned out that the proportion of accident cases was high mainly in small-scale construction sites, and long-term labor losses occurred. Shortly, it is necessary to establish an institutional standard for applying a realistic safety management cost calculation and management system centered on small-scale sites. Therefore, this study is expected to be used as fundamental data or guideline for developing a customized safety management and accident prevention system for a worker reflecting the conditions of a construction site in the future.

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Acknowledgement

본 논문은 2021년 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기본연구임(No. 2018R1D1A1B07051149).