Construction Project Risk Assessment Using Existing Database and Project-Specific Information
Publication: Journal of Construction Engineering and Management
Volume 134, Issue 11
Abstract
This paper develops a risk assessment methodology for construction projects by combining existing large quantities of data and project-specific information through updating approaches. Earlier studies have indicated that risk assessment is still difficult for practicing engineers to use due to the requirement of data on too many input variables. However, the availability of existing large quantities of data and project-specific information makes it possible to simplify the risk assessment procedure. Two main ideas are pursued in this paper to facilitate practical implementation: identify and evaluate the critical risk events, and develop a systematic updating methodology. Both epistemic and aleatory types of uncertainties in the data are considered, and corresponding updating procedures are developed. The proposed methodology is illustrated for the construction risk assessment of a cable-stayed bridge.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The work was supported by the Postdoctoral Fellowship Program of the Korea Research Foundation (KRF, UNSPECIFIEDM01-2004-000-20055-0). The support is gratefully acknowledged.
References
Ang, A. H.-S., and Tang, W. H. (1975). Probability concepts in engineering planning and design, Vols. I and II, Wiley, New York.
Ang, A. H.-S., and Tang, W. H. (2006). Probability concepts in engineering: Emphasis on applications to civil and environmental engineering, 2nd Ed., Wiley, New York.
Apeland, S., Aven, T., and Nilsen, T. (2002). “Quantifying uncertainty under a predictive, epistemic approach to risk analysis.” Reliab. Eng. Syst. Saf., 75, 93–102.
Baldwin, J. F., and Pilsworth, B. W. (1979). “Fuzzy truth definition of possibility measure for decision classification.” Int. J. Man-Mach. Stud., 2, 447–463.
Blockley, D. I. (1999). “Risk based structural safety methods in context.” Struct. Safety, 214, 335–348.
Cho, H. N., Choi, H. H., and Kim, Y. B. (2002). “A risk assessment methodology for incorporating uncertainties using fuzzy concepts.” Reliab. Eng. Syst. Saf., 78, 173–183.
Choi, H. H. (2005). “A risk and safety assessment methodology using fuzzy uncertainty and imprecise reliability for large civil structures.” Ph.D. thesis, Dept. of Civil and Environmental Engineering, Hanyang Univ., Hanyang, Korea.
Choi, H. H., Cho, H. N., and Seo, J. W. (2004). “Risk assessment methodology for underground construction projects.” J. Constr. Eng. Manage., 130(2), 258–272.
Dubois, D., and Prade, H. (1982). “The use of fuzzy numbers in decision analysis.” Fuzzy information and decision processes, M. M. Gupta and E. Sanchez, eds., North-Holland, New York, 309–321.
Everett, J. G., and Frank, P. B. (1996). “Costs of accidents and injuries to the construction industry.” J. Constr. Eng. Manage., 122(2), 158–164.
Fujino, T. (1994). “The development of a method for investigation construction site accidents using fuzzy fault tree analysis.” Ph.D. thesis, Ohio State Univ.
Hadipriono, F. C. (1985). “Assessment of falsework performance using fuzzy set concepts.” Struct. Safety, (3), 47–57.
Haldar, A., and Mahadevan, S. (2000). Probability, reliability, and statistical methods in engineering design, Wiley, New York.
Klir, G. J. (2004). “Generalized information theory: Aims, results, and open problems.” Reliab. Eng. Syst. Saf., 85, 21–38.
Korea Occupational Safety and Health Agency (KOSHA). (2000). Rep. of Investigation of the Preventive Measures against Vital Accidents at Construction Sites.
Park, Y. H. (1995). “Failures of structures and the causes of them.” Construction Technology Information, 7–17.
Information & Authors
Information
Published In
Copyright
© 2008 ASCE.
History
Received: Aug 12, 2005
Accepted: Apr 23, 2007
Published online: Nov 1, 2008
Published in print: Nov 2008
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.