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

Yu, Yeong-Jin; Son, Kiyoung; Kim, Taehui; Kim, Ji-Myong

doi:10.5345/jkibc.2017.17.3.287

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…Finally, we reviewed the previous studies on quantitative and qualitative calculation of risk in construction [15,21,[36][37][38][39][40]. In these studies, the risks in the construction industry were calculated using various methods such as surveys and data analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In these studies, the risks in the construction industry were calculated using various methods such as surveys and data analysis. The risks were also evaluated considering the frequency and intensity of accidents [21,39,40]. However, accurate risk assessment could not be performed because the accident probability was based on the number of workers or only considered some cost items.…”

Section: Literature Reviewmentioning

confidence: 99%

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Quantitative Risk Evaluation by Building Type Based on Probability and Cost of Accidents

2023

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The construction industry has the highest frequency of injuries and fatal accidents compared to other industries. Therefore, an accurate evaluation of the level of risk is necessary to effectively manage accidents in the construction industry. Although risk assessments are used in the construction industry to identify and reduce risk, they are carried out qualitatively by the subjective opinion of safety managers. Therefore, this study proposed a quantitative risk assessment based on the risk levels of 17 building facilities. Moreover, this study classified the building facilities into groups of similar risk levels. This study involved five steps. The results of the study indicated that in terms of both accident probability and financial losses, the facility type with the highest risk ranking was “Residential buildings” (5.92). The risk assessment method proposed in this study can contribute toward reducing accidents by identifying the exact risk level for each facility type. Moreover, clients and contractors can utilize this study and its findings as a basis for different safety management approaches depending on the risk group level.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Quantitative Risk Evaluation by Building Type Based on Probability and Cost of Accidents

2023

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“…Among them, a total of 154 data were selected, excluding cases of explosions, getting stuck and drowning, and electric shocks, which had 0 or 1 incidents. Cases with 0 or 1 incidents were excluded because a probability distribution could not be defined since the variance of independent variables (accident pattern) was 0 in the Monte Carlo simulation (Yu et al 2017). Therefore, 154 data with more than 2 incidents were selected and classified into 5 kinds of accident patterns such as 1) slip, 2) fall, 3) pin or overturning, 4) impact or graze, and 5) crumble.…”

Section: Definition Of Human Accident Patternsmentioning

confidence: 99%

Development of a quantification model for human accidents on construction sites in South Korea

Ryu

Son

et al. 2020

Journal of Asian Architecture and Building Engineering

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The accident rate in the Korean construction industry is rapidly increasing each year. In particular, the mortality rate from human accidents in construction is very high compared to that of other industries. This indicates that the safety activities carried out at the national level have not been effective in reducing the accident rate. To resolve these problems, the risk factors for human accidents should not only be forecasted in advance, but should also be controlled, monitored, and managed from the commencement to the completion of construction projects. However, most studies on this topic have only listed the importance of risks based on the frequency of safety accidents rather than providing a quantitative analysis. Therefore, it is necessary to develop a model that can analyze and quantify the pattern of human accident risks. The purpose of this study is to develop a quantification model for human accidents in South Korean construction sites. To this end, insurance claim payout data were collected and analyzed to develop a risk quantification model using a Monte Carlo simulation. The results will be used as base data to develop a construction site safety management checklist and human accident prediction model.

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“…Park and Choi (Park and Choi 2013) carried out a feasibility analysis of existing studio-apartment development projects by means of deterministic analysis, which relies on one representative value. However, it can be considerably changed between initial plan and final result since it takes a long time for the land development (Yu et al 2017). In this respect, the deterministic method is difficult to analyze the impact of influential factors quantitatively (Zavadskas, Turskis, and Tamošaitiene 2010).…”

Section: Introductionmentioning

confidence: 99%

Development of an income and cost simulation model for studio apartment using probabilistic estimation

Kim

Son

Jang

et al. 2020

Journal of Asian Architecture and Building Engineering

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The Korean construction industry has attracted interest and investment demand for leaseoriented investment products, such as shopping malls and studio apartments, as a substitute for financial products because of the low interest rates of the banks that resulted from the economic recession after the global financial crisis in 2008. However, there have been huge economic damages because of problems such as the oversupply, the increase in the unsold presale rate, and the decrease in rental profit. For studio-apartment development projects, dynamic analysis should be applied considering the correlation of variables in business analysis, which is complicated by such factors as profit structure and money flow. Therefore, we aim in this study to develop a statistical analysis model of studio apartments using probabilistic estimation. For this purpose, we developed a causal-loop diagram and established a simulation and optimization model. The developed model was verified by applying it to actual cases. Our results can be used as a reference for the optimization and risk management of studio-apartment business analysis in academia. In addition, from a practical point of view, this model can be used to develop a forecasting feasibility study based on risk and for business feasibility analysis.

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

Cited by 4 publications

References 3 publications

Quantitative Risk Evaluation by Building Type Based on Probability and Cost of Accidents

Quantitative Risk Evaluation by Building Type Based on Probability and Cost of Accidents

Development of a quantification model for human accidents on construction sites in South Korea

Development of an income and cost simulation model for studio apartment using probabilistic estimation

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