대한건축학회논문집 (Journal of the Architectural Institute of Korea)

  • 제39권10호
  • /
  • Pages.291-298
  • /
  • 2023
  • /
  • 2733-6239(pISSN)
  • /
  • 2733-6247(eISSN)
대한건축학회 (Architectural Institute of Korea)
권호 표지
DOI QR코드

DOI QR Code

건설업의 프로젝트 생애 주기별 웹기반 정량적 위험도 산정 모델 개발

Creating a Web-based Quantitative Risk Assessment Model for Construction Based on the Project Life Cycle Perspective

  • 정재욱 (서울과학기술대 안전공학과)
  • Jeong, Jae-Wook (Dept. of Safety Engineering, Seoul National University of Science and Technology)
  • 투고 : 2023.07.31
  • 심사 : 2023.10.04
  • 발행 : 2023.10.30
⟨ 이전 논문 다음 논문 ⟩

초록

This study aims to develop a web-based quantitative risk assessment model for the construction industry, focusing on the entire project life cycle. The construction industry is known for its higher risk compared to other sectors. In response to safety concerns, the South Korean government has mandated safety risk assessments before the construction phase. However, these methods have been predominantly qualitative and subjective. To address this issue, this study proposes a web-based quantitative risk assessment model tailored to the construction industry, considering the entire project life cycle. The outlined four-step approach for the model's development entails data collection to gather relevant data, accident probability calculation by determining the likelihood of accidents, project characteristic definition of identifying project-specific attributes, and accident-related loss calculation by assessing potential losses due to accidents. This model was then applied to actual construction projects. The findings indicate estimated accident-related losses of 100 million KRW, with a fatality rate of 1.02 and an injury rate of 1.50 during the project phase. In the design phase, the rates were 4.6×10-2 for fatality and 3.7×10-2 for injury, while in the construction phase, they were 4.2×10-4 for fatality and 1.3×10-3 for injury. This study provides a valuable tool for assessing high-risk areas throughout the entire project life cycle, thereby contributing to improved safety practices in the construction industry.

키워드

과제정보

본 연구는 산업통상자원부와 한국산업기술진흥원의 "DX한걸음 프로젝트"의 지원을 받아 수행된 연구결과임. (과제번호 P0024779)

참고문헌

  1. Abukhashabah, E., Ahmed. S., & Mansour B. (2020). Occupational accidents and injuries in construction industry in Jeddah city. Saudi Journal of Biological Sciences, 27(8) 1993-1998. https://doi.org/10.1016/j.sjbs.2020.06.033
  2. Baradan, S., & Usmen, M. A. (2006). Comparative injury and fatality risk analysis of building trades. Journal of construction engineering and management 132(5), 533-539. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:5(533)
  3. Dong, X., Choi, S., Borchardt, J., Wang, X., & Largay, J. (2013). Fatal falls from roofs among US construction workers. Journal of Safety Research, 44, 17-24. https://doi.org/10.1016/j.jsr.2012.08.024
  4. Dong, X. S., Fujimoto, A., Ringen, K., & Men, Y. (2009). Fatal falls among Hispanic construction workers. Accident Analysis & Prevention, 41(5), 1047-1052. https://doi.org/10.1016/j.aap.2009.06.012
  5. Grant, A., & Hinze, J. (2014). Construction worker fatalities related to trusses: An analysis of the OSHA fatality and catastrophic incident database. Safety science, 65, 54-62. https://doi.org/10.1016/j.ssci.2013.12.016
  6. Huang, X., & Hinze, J. (2003). Analysis of construction worker fall accidents. Journal of construction engineering and management, 129(3), 262-271. https://doi.org/10.1061/(ASCE)0733-9364(2003)129:3(262)
  7. Hwang, J., Jeong, J., Lee, M., Jeong, J., & Lee, J. (2023). Establishment of outdoor thermal comfort index groups for quantifying climate impact on construction accidents. Sustainable Cities and Society, 91, 104431.
  8. Jeong, J., & Jeong, J. (2021). Novel approach of the integrated work & risk breakdown structure for identifying the hierarchy of fatal incident in construction industry. Journal of Building Engineering, 41, 102406.
  9. Jeong, J., & Jeong, J. (2022). Quantitative risk evaluation of fatal incidents in construction based on frequency and probability analysis. Journal of Management in Engineering, 38(2), 04021089.
  10. Jeong, J., Jeong, J., Lee, J., Kim, D., & Son, J. (2022). Learning-driven construction productivity prediction for prefabricated external insulation wall system. Automation in Construction, 141, 104441.
  11. Kumi, L., Jeong, J., Jeong, J., & Lee, J. (2022). Empirical analysis of dust health impacts on construction workers considering work types. Buildings, 12(8), 1137.
  12. Lee, J., Jeong, J., Soh, J., & Jeong, J. (2022). Quantitative Analysis of the Accident Prevention Costs in Korean Construction Projects. Buildings, 12(10), 1536.
  13. Lee, M., Jeong, J., Jeong, J., & Lee, J. (2021). Exploring fatalities and injuries in construction by considering thermal comfort using uncertainty and relative importance analysis. International journal of environmental research and public health, 18(11), 5573.
  14. Leu, S., & Chang, C. (2015). Bayesian-network-based fall risk evaluation of steel construction projects by fault tree transformation. Journal of Civil Engineering and Management, 21(3), 334-342. https://doi.org/10.3846/13923730.2014.890643
  15. Ling, F., Liu, M., & Woo, Y. (2009). Construction fatalities in Singapore. International Journal of Project Management, 27(7), 717-726. https://doi.org/10.1016/j.ijproman.2008.11.002
  16. Ramona, S. (2011). Advantages and disadvantages of quantitative and qualitative information risk approaches. Chinese Business Review, 10(12).
  17. Soh, J., Jeong, J., Jeong, J., & Lee, J. (2023). Quantitative Risk Evaluation by Building Type Based on Probability and Cost of Accidents. Buildings, 13(2), 327.
  18. Kim, J. (2010). Plans for Reducing Risk through a Case Study of Risk Factors at a Construction Site-Focused on Earth work, Foundation Work, Reinforced Concrete Construction. Journal of the Korea Institute of Building Construction, 10(4), 83-93. https://doi.org/10.5345/JKIC.2010.10.4.083
  19. Kim, T., Kim, K., & Lee, M. (2023). Development of Work Safety Management Platform based on Construction Accident Big Data Analysis. Journal of the Architectural Institute of Korea, 39(1), 331-336. https://doi.org/10.5659/JAIK.2023.39.1.331
  20. Park, C., & Jang, J. (2004). A Study on Developing Weather Adjustment Factor Due to Snowfall in Estimating AADT. Seoul Studies, 5(2), 68-79.
  21. Ahn, H. (2005). A study on the improvement of the safety organizations for construction projects. Journal of the Architectural Institute of Korea, 21(9), 137-44.
  22. Lee, M., Jeong, J., Jeong, J., & Lee, J. (2022). Analysis of the Relationship between Construction Accidents and PM 10 Level using Big Data. Journal of the Architectural Institute of Korea, 38(1), 245-251.
  23. Lee, J., Jeong, J., Soh, J., & Jeong, J. (2021). Quantification analysis of safety investment cost and fatal accident cost in construction. Journal of the Architectural Institute of Korea, 37(7), 211-218. https://doi.org/10.5659/JAIK.2021.37.7.211