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건설현장 안전사고 빅 데이터 기반 작업자별 프로파일 분석
Profiling of Workers based on Safety Accident Big Data in Construction Site
강성원 ( Kang Sung Won ) , 이기석 ( Lee Ki Seok ) , 유위성 ( Yoo Wi Sung ) , 신윤석 ( Shin Yoon-seok )
UCI I410-ECN-0102-2022-500-000701863
이 자료는 4페이지 이하의 자료입니다.

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.

[자료제공 : 네이버학술정보]
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