인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The construction industry has the highest occupational fatality rate, with over 75% of accidents attributed to workers' unsafe behaviors. Traditional top-down safety management approaches have limitations in reflecting the complex and dynamic characteristics of construction sites. This study developed an agent-based model based on construction workers' cognitive processes to analyze the effects of safety education cycles and scales. The model incorporates individual factors (risk attitude) and social-organizational factors (group norms and management norms) that influence workers' risk acceptance and behavioral decisions. Through simulation of 100 agents over 100 time units, various education scenarios were analyzed. Results showed that shortening education cycles from 20 days to 1 day reduced accident occurrence by 73% (from 3.18 to 0.86 incidents). An effective threshold was identified at education cycles of 2 days or shorter, with significant effects when targeting 50% or more of workers. This research provides theoretical foundations for safety education approaches through agent-based modeling and offers insights for improving current quarterly group education methods.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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