Journal of the Korea Institute of Building Construction (한국건축시공학회지)

The Korean Institute of Building Construction (한국건축시공학회)
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A Study on the Quantitative Risk Assessment of Bridge Construction Projects

교량 공사 프로젝트의 정량적 리스크 평가에 관한 연구

  • Ahn, Sung-Jin (Department of Architectural Engineering, Mokpo National University)
  • Received : 2019.12.20
  • Accepted : 2020.01.31
  • Published : 2020.02.20
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Abstract

The recent bridge construction projects is demanded more sophisticated risk management measures and loss forecasts to brace for risk losses from an increase in the trend of bridge construction. This study aims to analyze the risk factors that caused the loss of material in actual bridge construction and to develop a quantified predictive loss model, based on the past record of insurance payment by major domestic insurance companies for bridge construction projects. For the development of quantitative bridge construction loss model, the dependent variable was selected as the loss ratio, i.e., the ratio of insurance payout divided by the total project cost, while the independent variable adopted 1) Technical factors: superstructure type, foundation type, construction method, and bridge length 2) Natural hazards: typhoon and flood 3) Project information: construction period and total project cost. Among the selected independent variables, superstructure type, construction method, and project period were shown to affect the ratio of bridge construction losses. The results of this study can provide government agencies, bridge construction design and construction and insurance companies with the quantitative damage prediction and risk assessment services, using risk indicators and loss prediction functions derived from the findings of this study and can be used as a guideline for future basic bridge risk assessment development research.

최근의 교량 건설 프로젝트는 교량 건설의 증가추세에 따라 위험 손실에 대비하기 위해 보다 정교한 리스크 관리 조치와 손실 예측을 요구하고 있다. 본 연구는 교량 건설 사업에 대한 국내 주요 보험사의 과거 보험료 지급 실적을 토대로 실제 교량 건설에서 목적물의 손실을 유발하는 위험 요인을 분석하고, 정량화된 예측 손실 모델을 개발하고자 하였다. 정량적 교량건설 손실모형 개발을 위해 사고 건당 보험지급액을 총공사비로 나눈 손실비율을 종속변수로 선정하였고, 독립변수로는 1)기술적 요인: 상부 구조 유형, 하부 구조 유형, 상부 가설방법, 교량 길이 2) 자연재해요인 : 태풍, 홍수 3) 프로젝트 정보: 공사기간, 총공사비를 채택하였다. 선정된 독립변수 중 상부구조, 가설방법 및 프로젝트 기간이 교량건설 손실 비율에 영향을 미치는 지표로 나타났다. 본 연구 결과로 도출된 리스크 지표와 손실예측 함수는 정부 관련기관, 교량 건설 설계 및 시공사, 보험회사에 정량적 피해 예측 및 위험 평가 서비스를 제공하며, 향후 기초 교량 리스크 평가 개발 연구의 가이드라인으로 활용할 수 있다.

Keywords

References

  1. Hong SW, Kim HI, Ahn YS. A study on development and real situation analysis for the risk management of domestic construction companies. Journal of Architectural Institute of Korea Structure & Construction. 2003 May;19(5):153-60.
  2. Wood G, Ellis RCT. Risk management practices of leading UK cost consultants. Engineering Construction and Architectural Management. 2003 Aug;10(4):254-62. http://doi.org/10.1108/09699980310489960
  3. Dikmen I, Birgonul MT, Arikan AE. A critical review of risk management support tools. 20th Annual Conference of Association of Researchers in Construction Management; 2004 Sep 1-3; Edinburgh, UK. Reading (UK): Association of Researchers in Construction Management; 2004. p. 1145-54.
  4. Emmett JV, Therese MV. Essential of insurance: a risk management perspective. New York: John Wiley & Sons; 1995. 656 p.
  5. Yu YJ, Son K, Kim T, Kim JM. A risk quantification study for accident causes on building construction site by applying probabilistic forecast concept. Journal of the Korea Institute of Building Construction. 2017 Jun;17(3):287-94. https://doi.org/10.5345/JKIBC.2017.17.3.287
  6. UNDHA. Internationally agreed glossary of basic terms related to disaster management. Geneva: United Nations Department of Humanitarian Affairs; 1992. 64 p.
  7. Adams J. Risk. London: University College London Press; 1995. 8 p.
  8. Smith K. Environmental hazards: assessing risk and reducing disaster. 2nd ed. London: Routledge; 1996. 12 p.
  9. Crichton D. The risk triangle. Natural Disaster Management, Leicester: Tudor Rose Holdings; c1999. Chapter 5, Risk Assesment; p. 102-3.
  10. Jones RN, Boer R. Adaptation policy frameworks for climate change: developing strategies, policies and measures. Cambridge: Cambridge University Press, Cambridge; 2004. Chapter 4, Assessing current climate risks; p 91-117 [cited 2019 Sep 3]. Available from: http://www4.unfccc.int/sites/NAPC/Country%20Documents/General/apf%20technical%20paper04.pdf
  11. Zou PX, Zhang G, Wang J. Understanding the key risks in construction projects in china. International journal of project management. 2007 Aug;25(6):601-14. http://doi.org/10.1016/j.ijproman.2007.03.001
  12. Baloi D, Price AD. Modelling global risk factors affecting construction cost performance. International Journal of Project Management. 2003 May;21(4):261-9. http://doi.org/10.1016/S0263-7863(02)00017-0
  13. Laryea S. Risk pricing practices in finance, insurance and construction. COBRA 2008 The Construction and Building Research Conference of the Royal Institution of Chartered Surveyors; 2008 Sep 4-5; Dublin, Ireland. London (UK): The Construction and Building Research Conference of the Royal Institution of Chartered Surveyors; 2008. p. 1-16.
  14. Baker S, Ponniah D, Smith S. Techniques for the analysis of risks in major projects. The Journal of the Operational Research Society. 1998 Jan;49(6):567-72. http://doi.org/10.2307/3010665
  15. Wang YM, Elhag TMS. A fuzzy group decision making approach for bridge risk assessment. Computers & Industrial Engineering. 2007 Aug;53(1):137-48. http://doi.org/10.1016/j.cie.2007.04.009
  16. Elhag TMS, Wang YM. Risk assessment for bridge maintenance projects: neural networks versus regression techniques. Journal of Computing in Civil Engineering. 2007 Nov;21(6):402-9. https://doi.org/10.1061/(ASCE)0887-3801(2007)21:6(402)
  17. Seo SE, Gang GS. Risk index computation of work type for bridge construction using accident cases and the AHP method. Proceedings of the Safety Management and Science Conference; 2009 Nov 21; Seoul, Korea. Seoul (Korea): Korea Safety Management and Science; 2009. p. 441-59.
  18. Deco A, Frangopol DM. Risk assessment of highway bridges under multiple hazards. Journal of Risk Research. 2011 Oct;14(9):1057-89. https://doi.org/10.1080/13669877.2011.571789
  19. Hashemi H, Mousavi SM, Mojtahedi SM. Bootstrap technique for risk analysis with interval numbers in bridge construction projects. Journal of Construction Engineering and Management. 2011 Aug;137(8):600-8. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000344
  20. Li QF, Li ZX, Niu J. Application of factor analysis to risk evaluation of bridge construction. Advanced Materials Research. 2011 May;243:1848-53. http://doi.org/10.4028/www.scientific.net/AMR.243-249.1848
  21. Choudhry RM, Aslam MA, Hinze JW, Arain FM. Cost and schedule risk analysis of bridge construction in Pakistan: Establishing risk guidelines. Journal of Construction Engineering and Management. 2014 Mar;140(7):04014020-1-9. http://doi.org/10.1061/(ASCE)CO.1943-7862.0000857
  22. Yun SY, Kim CH, Kang LS. Development of model for selecting superstructure type of small size bridge using dual classification method. Journal of The Korean Society of Civil Engineers. 2015 Nov;35(6):1413-20. http://doi.org/10.12652/Ksce.2015.35.6.1413
  23. Public Procurement Agency [Internet]. Standards for pre-qualification for contractor[cited 2019 Sep 3]. Available from: http://www.law.go.kr/LSW//admRulLsInfoP.do?chrClsCd=&admRulSeq=2100000184412
  24. Koh HM, Kim HJ, Lim JH, Kang SC, Choo JF. Lifetime design of cable-supported super-long-span bridges. Proceedings of the 5th International Conference on Bridge Maintenance, Safety and Management; 2010 Jul 11-15; Philadelphia, PA, USA. London(UK): International Conference on Bridge Maintenance, Safety and Management; 2010. p. 26-42.
  25. Kim BI, Yoon KY, Lee SH. Field investigation of scour-protection methods for bridges in small size streams of central region of Korea. Journal of Korean Society of Hazard Mitigation. 2005 Mar;5(1):45-53.
  26. Giroux RP. Relevance of roebling. Journal of Performance of Constructed Facilities. 2009 Feb;23(1):2-4. https://doi.org/10.1061/(ASCE)0887-3828(2009)23:1(2)
  27. Jo BW, Park JC, Kim CH. Wind characteristics of existing long span bridge based on measured data. KSCE Journal of Civil Engineering. 2005 May;9(3):219-24. http://doi.org/10.1007/BF02829053
  28. Kim KW, Park MH, Chang CH. Research on the optimum design for PSC box girder bridges using the full staging method. Journal of the Korea institute for structural maintenance and inspection. 2004 Feb;8(3):159-67.
  29. Lee HW, Jang JY. Design formula for launching nose of ILM bridge considering the interaction behavior with superstructure sections. Journal of the Computational Structural Engineering Institute of Korea. 2006 Aug;23(1):53-60.
  30. Kwak HG, Son JK. Determination of design moments in bridges constructed with a movable scaffolding system. Computers and Structures. 2006 Dec;84(31-32):2141-50. http://doi.org/10.1016/j.compstruc.2006.08.044
  31. Kim SB, Cho JH. Development of the approximate cost estimating model for PSC box girder bridge based on the breakdown of standard work. Journal of the Korean Society of Civil Engineers. 2013 Mar;33(2):791-800. https://doi.org/10.12652/Ksce.2013.33.2.791
  32. Kim JM, Kim T, Bae J, Son K, Ahn S. Analysis of plant construction accidents and loss estimation using insurance loss records. Journal of Asian Architecture and Building Engineering. 2019 Dec;18(6):507-16. http://doi.org/10.1080/13467581.2019.1687089