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Capturing and Integrating Knowledge for Managing Risks in Tunnel Works

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  • Ibsen Chivatá Cárdenas
  • Saad S.H. Al‐jibouri
  • Johannes I.M. Halman
  • Frits A. van Tol

Abstract

Risk‐related knowledge gained from past construction projects is regarded as potentially extremely useful in risk management. This article describes a proposed approach to capture and integrate risk‐related knowledge to support decision making in construction projects. To ameliorate the problem related to the scarcity of risks information often encountered in construction projects, Bayesian Belief Networks are used and expert judgment is elicited to augment available information. Particularly, the article provides an overview of judgment‐based biases that can appear in the elicitation of judgments for constructing Bayesian Networks and the provisos that can be made in this respect to minimize these types of bias. The proposed approach is successfully applied to develop six models for top risks in tunnel works. More than 30 tunneling experts in the Netherlands and Germany were involved in the investigation to provide information on identifying relevant scenarios than can lead to failure events associated with tunneling risks. The article has provided an illustration of the applicability of the developed approach for the case of “face instability in soft soils using slurry shields.”

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  • Ibsen Chivatá Cárdenas & Saad S.H. Al‐jibouri & Johannes I.M. Halman & Frits A. van Tol, 2013. "Capturing and Integrating Knowledge for Managing Risks in Tunnel Works," Risk Analysis, John Wiley & Sons, vol. 33(1), pages 92-108, January.
    • Handle: RePEc:wly:riskan:v:33:y:2013:i:1:p:92-108
    DOI: 10.1111/j.1539-6924.2012.01829.x
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    1. Eileen Abt & Joseph V. Rodricks & Jonathan I. Levy & Lauren Zeise & Thomas A. Burke, 2010. "Science and Decisions: Advancing Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 30(7), pages 1028-1036, July.
    2. Aven, Terje & Zio, Enrico, 2011. "Some considerations on the treatment of uncertainties in risk assessment for practical decision making," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 64-74.
    3. Zio, E., 2009. "Reliability engineering: Old problems and new challenges," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 125-141.
    4. Robert T. Clemen & Robert L. Winkler, 1999. "Combining Probability Distributions From Experts in Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 19(2), pages 187-203, April.
    5. Asokan Anandarajan & Gary Kleinman & Dan Palmon, 2008. "Novice and expert judgment in the presence of going concern uncertainty: The influence of heuristic biases and other relevant factors," Managerial Auditing Journal, Emerald Group Publishing, vol. 23(4), pages 345-366, April.
    6. Piero Baraldi & Enrico Zio, 2010. "A Comparison Between Probabilistic and Dempster‐Shafer Theory Approaches to Model Uncertainty Analysis in the Performance Assessment of Radioactive Waste Repositories," Risk Analysis, John Wiley & Sons, vol. 30(7), pages 1139-1156, July.
    7. Qiang Meng & Xiaobo Qu & Xinchang Wang & Vivi Yuanita & Siew Chee Wong, 2011. "Quantitative Risk Assessment Modeling for Nonhomogeneous Urban Road Tunnels," Risk Analysis, John Wiley & Sons, vol. 31(3), pages 382-403, March.
    8. Piero Baraldi & Enrico Zio, 2008. "A Combined Monte Carlo and Possibilistic Approach to Uncertainty Propagation in Event Tree Analysis," Risk Analysis, John Wiley & Sons, vol. 28(5), pages 1309-1326, October.
    9. Francis Adams, 2006. "Expert elicitation and Bayesian analysis of construction contract risks: an investigation," Construction Management and Economics, Taylor & Francis Journals, vol. 24(1), pages 81-96.
    10. Garthwaite, Paul H. & Kadane, Joseph B. & O'Hagan, Anthony, 2005. "Statistical Methods for Eliciting Probability Distributions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 680-701, June.
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    Cited by:

    1. Crispim, José & Fernandes, Jorge & Rego, Nazaré, 2020. "Customized risk assessment in military shipbuilding," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    2. Ibsen Chivatá Cárdenas & Saad S. H. Al‐Jibouri & Johannes I. M. Halman & Wim van de Linde & Frank Kaalberg, 2014. "Using Prior Risk‐Related Knowledge to Support Risk Management Decisions: Lessons Learnt from a Tunneling Project," Risk Analysis, John Wiley & Sons, vol. 34(10), pages 1923-1943, October.
    3. Yong Zhang & Qi Zhang & Xiang Zhang & Meng Li & Guoqing Qi, 2024. "How Do We Analyze the Accident Causation of Shield Construction of Water Conveyance Tunnels? A Method Based on the N-K Model and Complex Network," Mathematics, MDPI, vol. 12(20), pages 1-30, October.
    4. Brouwer, Sander R. & Al-Jibouri, Saad H.S. & Cárdenas, Ibsen Chivatá & Halman, Johannes I.M., 2018. "Towards analysing risks to public safety from wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 77-87.
    5. Ibsen Chivatá Cárdenas & Saad S.H. Al‐Jibouri & Johannes I.M. Halman & Frits A. van Tol, 2014. "Modeling Risk‐Related Knowledge in Tunneling Projects," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 323-339, February.
    6. Limao Zhang & Xianguo Wu & Yawei Qin & Miroslaw J. Skibniewski & Wenli Liu, 2016. "Towards a Fuzzy Bayesian Network Based Approach for Safety Risk Analysis of Tunnel‐Induced Pipeline Damage," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 278-301, February.
    7. Wasim ul Rehman & Faryal Jalil & Omur Saltik & Suleyman Degirmen & Mustafa Bekmezci, 2024. "Leveraging Strategic Innovation and Process Capabilities for Intellectual Capital Initiative Performance of Higher Education Institutes (HEIs): A Knowledge-Based Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 4161-4202, March.
    8. Wang, Fan & Li, Heng & Dong, Chao & Ding, Lieyun, 2019. "Knowledge representation using non-parametric Bayesian networks for tunneling risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 191(C).

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