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Analysis of Primary Internal and External Risk Factors According to the Accident Causes in Construction Site

건설현장의 사고원인에 따른 내·외부 리스크 핵심 요인 분석

  • Yu, Yeong-Jin (School of Architectural Engineering, University of Ulsan) ;
  • Kim, Taehui (Department of Architectural Engineering, Mokpo National University) ;
  • Son, Kiyoung (School of Architectural Engineering, University of Ulsan) ;
  • Lee, Kyoung-Hun (National 119 Headquarters, Ministry of P ublic Safety and Security) ;
  • Kim, Ji-Myong (Construction Science Department, Texas A&M University, College Station)
  • Received : 2016.08.09
  • Accepted : 2016.10.18
  • Published : 2016.12.20

Abstract

The demand of construction risk analysis is rapidly increased to improve the competitiveness of construction companies and the sound management of the construction project. However, estimating the amount and uncertainty of the risk is difficult due to the wide range of risks in the construction industry. Moreover, most of the research on risk management of construction risk is only focused on the causes of risk without separate the internal and external risk. This study statistically analysis the internal risk and external risk based on the accidents cases which are caused at construction sites to define the difference and importances of the risk. An accident cause analysis and T-test analysis are carried out to reach the goal of study. The results of the study are expected to be used as a guideline of construction project risk analysis.

최근 건설 기업들이 질적 성장을 필요로 하면서 리스크 분석 요구가 증가하고 있다. 하지만 건설 현장의 정량적인 데이터를 활용하여 손해 범위로 리스크 분류를 진행하는 연구는 미비한 실정이다. 따라서 본 연구에서는 건설 현장의 사고원인에 따른 내 외부 리스크 핵심 요인을 분석하는 것을 목표로 한다. 이를 위해 본 연구에서는 A보험사에서 실제 12년간 발생된 사고 데이터를 329개 수집하였다. 우선 수집한 데이터를 토대로 내 외부 발생 위험도에 따른 사고 원인별 중요도 차이를 분석하기 위해 RPN 기법을 수행하였다. 또한, 이러한 차이가 유의미한지를 분석하기 위해 T-test분석을 활용하여 내 외부 발생 위험도 간의 피해율 차이를 검증하였다. 그 결과, 내 외부 발생 위험도 간의 차이는 유의미한 것으로 나타났으며, 특히 480억 미만의 건설 현장의 사고에서는 시공결함과 진동 소음 먼지가, 480억 이상의 대규모 건설 프로젝트의 현장에서는 호우, 태풍이 주요사고 원인으로 이에 대한 대처 방안이 필요한 것으로 나타났다. 본 연구의 결과는 향후 건설 공사 현장에서 리스크 관리를 수행할 때, 내 외부에 따른 체계적인 리스크 식별 데이터로 활용이 가능할 것으로 기대된다.

Keywords

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