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Risk Analysis using Construction Insurance Claim Payouts

건설공사보험 피해 보상금 지급액을 활용한 리스크 분석

  • Yu, Yeong-Jin (School of Architectural Engineering, University of Ulsan) ;
  • Son, Kiyoung (School of Architectural Engineering, University of Ulsan) ;
  • Kim, Ji-Myong (Construction Science Department, Texas A&M University)
  • Received : 2016.02.15
  • Accepted : 2016.04.04
  • Published : 2016.08.20

Abstract

Recently, the quantity of risk in construction project has been inflated due to the fact that current construction projects have been large and complicated. Therefore, a study on the risk management methods is necessary that can predict and respond to the need in complicated modern construction projects. In this study, the objective is to analyze the cause of accident in actual construction sites and develop a risk assessment model based on insurance claims records. To reach the goal of this study, first, the frequency and severity of accidents are analyzed the causes of accidents based on the classification; progress rate, season, and total construction costs. Second, a risk assessment model is developed by utilizing a multiple regression analysis. The dependent variable is loss ratio of material damage and three categories; natural hazards, geographic information, and construction method & ability, are used as the independent variables. The model's adjusted R-square is 0.455. The contributions of this study will be used as a material for a quantitative risk analysis model development and review of the construction risk factors for future study.

최근 건설프로젝트는 산업성장의 영향으로 대형화 복잡화 첨단화 되어 가며, 이로 인해 건설공사 리스크의 불확실 요소가 증가하고 있다. 이에 따라, 복잡해진 현대 건설 프로젝트에서 예측 및 대응할 수 없는 리스크 관리 방법에 관한 연구가 필요하다. 이에 본 연구는 A보험사의 클레임레코드를 토대로 실제 건설 공사 현장 내에 보상금 지급액 데이터를 수집하였으며, 사고원인 분석 및 회귀분석을 실시하였다. 사고원인 분석을 위해 본 연구에서는 공정률별, 계절별, 총공사금액별로 분류하고, 사고 빈도와 보상금 지급액으로 분석하여 리스크 중점관리요인을 도출하였다. 두 번째, 종속변수로 피해율을, 독립변수로 자연재해 위험도와 지리정보, 시공방법 및 능력, 프로젝트 규모로 분류하여 다중회귀분석을 실시하여, 총공사금액 대비 보상금 지급액에 대한 피해율 예측 모델을 개발하였다. 회귀분석 결과 45.5%의 설명력을 가진 피해율예측모델을 개발 및 검증하였다. 본 연구의 결과는 향후 건설 공사의 정량적인 리스크 분석 모델 개발 및 리스크 인자에 대한 검토를 위한 자료로 활용될 것이다.

Keywords

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