Browse > Article
http://dx.doi.org/10.5345/JKIBC.2020.20.2.137

A Study on Bridge Construction Risk Analysis for Third-Party Damage  

Ahn, Sung-Jin (Department of Architectural Engineering, MokpoNational University)
Nam, Kyung-Yong (UTOP E&A)
Publication Information
Journal of the Korea Institute of Building Construction / v.20, no.2, 2020 , pp. 137-145 More about this Journal
Abstract
The recent bridge construction projects demand thorough and systematic safety and risk management, due to the increase of risk factors following the introduction of new and complex construction methods and technologies. Among many types of damages that can occur in bridge construction projects, the damages to third parties who are not directly related to the existing property of the contractor construction project can also bring about critical loss in the project in order to compensate the damages. Therefore, risks that could be caused by the loss occurred to indemnify the third party damages should be clearly analyzed, although there are not subsequent amount of studies focusing on the issue. Based on the past record of insurance payment from domestic insurance companies for bridge construction projects, this study aimed to analyze the risk factors of bridge construction for loss caused to compensate the third-party damages happened in actual bridge construction projects and to develop a quantified and numerical predictive loss model. In order to develop the model, the loss ratio was selected as the dependent variable; and among many analyzed independent variables, the superstructure, foundation, flood, and ranking of contractors were the four significant risk factor variables that affect the loss ratio. The results produced can be used as an essential guidance for balanced risk assessment, supplementing the existing analysis on material losses in bridge construction projects by taking into account the third-party damage and losses.
Keywords
bridge construction; risk analysis; loss; quantitative analysis; third-party damage;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
연도 인용수 순위
1 Kim SJ, Yoon MO. A study on the improvement program of bridge safety management through public-private governance. Journal of the Korean Society of Hazard Mitigation. 2018 Jan 31;18(1):145-56. https://doi.org/10.9798/KOSHAM.2018.18.1.145   DOI
2 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. 2003 May;19(5):153-60.
3 Odeyinka HA. An evaluation of the use of insurance in managing construction risks. Construction Management and Economics. 2000 Oct;18(5):519-24. http://dx.doi.org/10.1080/014461900407329   DOI
4 Ha SG, Kim TH, Son KY, Kim IM, Son SH. Quantification model development of human accidents on external construction site by applying probabilistic method. Journal of the Korea Institute of Building Construction. 2018 Dec;18(6):611-9. https://doi.org/10.5345/JKIBC.2018.18.6.611   DOI
5 Everett JG, Frank JrPB. Costs of accidents and injuries to the construction industry. Journal of Construction Engineering and Management. 1996 Jun;122(2):158-64. https://doi.org/10.1061/(ASCE)0733-9364(1996)122:2(158)   DOI
6 Kim DC, Kim HJ. A plan of the accident classification system for the analysis of disaster information in construction projects. Journal of the Architectural Institute of Korea (Structure & Construction). 2001 Dec;17(11):139-45.
7 Ahn HS. A study on the development of the accident classification systems for construction industry. Journal of the Architectural Institute of Korea. 1996 Jun:12(6):241-54.
8 Lee JS, Hong JS, Kim JJ. A self-control safety management activity model in construction sites through analysis of success factors. Journal of the Korea Institute of Building Construction. 2008 Oct;8(5):109-17. https://doi.org/10.5345/JKIC.2008.8.5.109   DOI
9 Lee JS, Ahn BJ, Kim JJ. Evaluating and suggesting key risk factors according to risk hierarchy of occurrence field of occurrence field in the overseas development projects. Korean Journal of Construction Engineering and Management. 2012 May;13(2):70-9. https://doi.org/10.6106/KJCEM.2012.13.2.070   DOI
10 Kim JM, Son K, Yoo Y, Lee D, Kim DY. Identifying risk indicators of building damage due to typhoons. Focusing on Cases of South Korea. Sustainability. 2018 Nov;10(11):3947. https://doi.org/10.3390/su10113947   DOI
11 Kim JM, Kim T, Son K, Yum SG, Ahn S. Measuring Vulnerability of Typhoon in Residential Facilities: Focusing on Typhoon Maemi in South Korea. Sustainability. 2019 Jan;11(10):2768. https://doi.org/10.3390/su11102768   DOI
12 Kunreuther H, Meyer R, Vandenbulte C. Risk analysis for extreme events: Economic incentives for reducing future losses. New York (USA): National Institute of Standards and Technology; 2004 Oct. 103 p. Report No.: NIST GCR 04-871
13 Wang YM, Elhag TM. A fuzzy group decision making approach for bridge risk assessment. Computers & Industrial Engineering. 2007 Aug;53(1):137-48. https://doi.org/10.1016/j.cie.2007.04.009   DOI
14 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; Yongin, Korea. Incheon (Korea): Korea Safety Management and Science; 2009. p. 441-59.
15 Crichton, D. Role of insurance in reducing flood risk. The Geneva Papers on Risk and Insurance-Issues and Practice, 2008 Dec;30(1):117-32. https://doi.org/10.1057/palgrave.gpp.2510151   DOI
16 Hashemi H, Mousavi SM, Mojtahedi SMH. Bootstrap technique for risk analysis with interval numbers in bridge construction projects. Journal of Construction Engineering and Management. 2011 Jan;137(8):600-8. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000344   DOI
17 Li QF, Li ZX, Niu J. Application of factor analysis to risk evaluation of bridge construction. Advanced Materials Research. 2011 May;243-249:1848-53. https://doi.org/10.4028/www.scientific.net/AMR.243-249.1848   DOI
18 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):401-20. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000857
19 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. https://doi.org/10.12652/Ksce.2015.35.6.1413   DOI
20 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. https://doi.org/10.1007/BF02829053   DOI
21 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)   DOI
22 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.
23 Choi, HH, Mahadevan. S. Construction project risk assessment using existing database and project-specific information. Journal of Construction Engineering and Management. 2008 Nov;134(11):894-903. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:11(894)   DOI
24 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.
25 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. 2010 Aug;23(1):53-60.
26 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 Korea Society of Civil Engineers. 2013 Mar;33(2):791-800. https://doi.org/10.12652/Ksce.2013.33.2.791   DOI
27 Kuo YC, Lu ST. Using fuzzy multiple criteria decision making approach to enhance risk assessment for metropolitan construction projects. International Journal of Project Management. 2013 Nov;31(4):602-14. https://doi.org/10.1016/j.ijproman.2012.10.003   DOI
28 Chan DW, Chan AP, Lam PT, Yeung JFY, Chan JHL. Risk ranking and analysis in target cost contracts: Empirical evidence from the construction industry. International Journal of Project Management. 2011 Aug;29(6):751-63. https://doi.org/10.1016/j.ijproman.2010.08.003   DOI
29 Kim JM, Kim TH, Bae JS, Son KY, Ahn SJ. 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. https://doi.org/10.1080/13467581.2019.1687089   DOI
30 Canamares MS, Escribano BMV, Garcia MNG, Barriuso AR, Saiz AR. Occupational risk-prevention diagnosis: A study of construction SMEs in Spain. Safety science. 2017 Feb;92:104-15. https://doi.org/10.1016/j.ssci.2016.09.016   DOI