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http://dx.doi.org/10.5345/JKIBC.2017.17.3.287

A Risk Quantification Study for Accident Causes on Building Construction Site by Applying Probabilistic Forecast Concept  

Yu, Yeong-Jin (School of Architectural Engineering, University of Ulsan)
Son, Kiyoung (School of Architectural Engineering, University of Ulsan)
Kim, Taehui (Department of Architectural Engineering, Mokpo National University)
Kim, Ji-Myong (Construction Science Department, Texas A&M University)
Publication Information
Journal of the Korea Institute of Building Construction / v.17, no.3, 2017 , pp. 287-294 More about this Journal
Abstract
Recently the construction project is becoming large-sized, complicated, and modernize. This has increased the uncertainty of construction risk. Therefore, studies should be followed regarding scientifically identifying the risk factors, quantifying the frequency and severity of risk factors in order to develop a model that can quantitatively evaluate and manage the risk for response the increased risk in construction. To address the problem, this study analyze the probability distribution of risk causes, the probability of occurrence and frequency of the specific risk level through Monte Carlo simulation method based on the accident data caused at construction sites. In the end, this study derives quantitative analysis by analyzing the amount of risk and probability distributions of accident causes. The results of this study will be a basis for future quantitative risk management models and risk management research.
Keywords
building construction; risk analysis; monte carlo simulation method; accident cause analysis;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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