| Title |
Development of A Quantitative Risk Assessment Model by BIM-based Risk Factor Extraction - Focusing on Falling Accidents - |
| Authors |
Go, Huijea ; Hyun, Jihun ; Lee, Juhee ; Ahn, Joseph |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2022.23.4.015 |
| Keywords |
BIM; Risk Assessment; Risk Factor DB; Visualization |
| Abstract |
As the incidence and mortality of serious disasters in the construction industry are the highest, various efforts are being made in Korea to reduce them. Among them, risk assessment is used as data for disaster reduction measures and evaluation of risk factors at the construction stage. However, the existing risk assessment involves the subjectivity of the performer and is vulnerable to the domestic construction site. This study established a DB classification system for risk assessment with the aim of early identification and pre-removal of risks by quantitatively deriving risk factors using BIM in the risk assessment field and presents a methodology for risk assessment using BIM. Through this, prior removal of risks increases the safety of construction workers and reduces additional costs in the field of safety management. In addition, since it can be applied to new construction methods, it improves the understanding of project participants and becomes a tool for communication. This study proposes a framework for deriving quantitative risks based on BIM, and will be used as a base technology in the field of risk assessment using BIM in the future. |