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Risk and Uncertainty Analysis in Government Safety Decisions

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  • Elisabeth Paté‐Cornell

Abstract

Probabilistic risk analysis (PRA) can be an effective tool to assess risks and uncertainties and to set priorities among safety policy options. Based on systems analysis and Bayesian probability, PRA has been applied to a wide range of cases, three of which are briefly presented here: the maintenance of the tiles of the space shuttle, the management of patient risk in anesthesia, and the choice of seismic provisions of building codes for the San Francisco Bay Area. In the quantification of a risk, a number of problems arise in the public sector where multiple stakeholders are involved. In this article, I describe different approaches to the treatments of uncertainties in risk analysis, their implications for risk ranking, and the role of risk analysis results in the context of a safety decision process. I also discuss the implications of adopting conservative hypotheses before proceeding to what is, in essence, a conditional uncertainty analysis, and I explore some implications of different levels of ``conservatism'' for the ranking of risk mitigation measures.

Suggested Citation

  • Elisabeth Paté‐Cornell, 2002. "Risk and Uncertainty Analysis in Government Safety Decisions," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 633-646, June.
    • Handle: RePEc:wly:riskan:v:22:y:2002:i:3:p:633-646
    DOI: 10.1111/0272-4332.00043
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    Cited by:

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    6. Kasai, Naoya & Matsuhashi, Shigemi & Sekine, Kazuyoshi, 2013. "Accident occurrence model for the risk analysis of industrialfacilities," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 71-74.
    7. Michael Greenberg & Charles Haas & Anthony Cox & Karen Lowrie & Katherine McComas & Warner North, 2012. "Ten Most Important Accomplishments in Risk Analysis, 1980–2010," Risk Analysis, John Wiley & Sons, vol. 32(5), pages 771-781, May.
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    9. Morales-Torres, Adrián & Escuder-Bueno, Ignacio & Serrano-Lombillo, Armando & Castillo Rodríguez, Jesica T., 2019. "Dealing with epistemic uncertainty in risk-informed decision making for dam safety management," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    10. H. Christopher Frey, 2002. "Introduction to Special Section on Sensitivity Analysis and Summary of NCSU/USDA Workshop on Sensitivity Analysis," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 539-545, June.
    11. Steve Jacob & Nathalie Schiffino, 2015. "Risk Policies in the United States: Definition and Characteristics Based on a Scoping Review of the Literature," Risk Analysis, John Wiley & Sons, vol. 35(5), pages 849-858, May.
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    14. Anna Kosovac & Brian Davidson & Hector Malano, 2019. "Are We Objective? A Study into the Effectiveness of Risk Measurement in the Water Industry," Sustainability, MDPI, vol. 11(5), pages 1-13, February.
    15. Olga Špačková & Daniel Straub, 2015. "Cost‐Benefit Analysis for Optimization of Risk Protection Under Budget Constraints," Risk Analysis, John Wiley & Sons, vol. 35(5), pages 941-959, May.
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    17. Roxane Foulser‐Piggott & Gary Bowman & Martin Hughes, 2020. "A Framework for Understanding Uncertainty in Seismic Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 40(1), pages 169-182, January.
    18. Christoph M. Rheinberger & Michael Bründl & Jakob Rhyner, 2009. "Dealing with the White Death: Avalanche Risk Management for Traffic Routes," Risk Analysis, John Wiley & Sons, vol. 29(1), pages 76-94, January.

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