Applications of probabilistic risk assessments: the selection of appropriate tools.

Probabilistic risk assessment (PRA) is an important methodology for assessing the risks of complex technologies. This paper discusses the strengths and weaknesses of PRA. Its application is explored in three different settings: adversarial policy processes, regulatory/licensing procedures, and plant safety audits. It is concluded that PRA is a valuable tool for auditing safety precautions of existing or planned technologies, especially when it is carried out as an interactive process involving designers and plant personnel who are familiar with actual, everyday operations. PRA has not proven to be as well-suited in providing absolute risk estimates in public-policy debates concerning the acceptability of a technology, or for the licensing and regulatory procedures. The reasons for this are discussed.

[1]  Ralph R. Fullwood,et al.  Probabilistic Risk Assessment in the Nuclear Power Industry: Fundamentals and Applications , 1988 .

[2]  D. Winterfeldt,et al.  Beyond acceptable risk: On the social acceptability of technologies , 1982 .

[3]  J. W. Minarick The US NRC accident sequence precursor program: Present methods and findings , 1990 .

[4]  Daniel J. Fiorino Technical and Democratic Values in Risk Analysis1 , 1989 .

[5]  J. Ravetz CHAPTER 7 – Uncertainty, Ignorance and Policy , 1987 .

[6]  Ralph R. Fullwood,et al.  Probabilistic risk assessment in the nuclear power industry , 1988 .

[7]  E. M. Dougherty,et al.  Human reliability analysis - where shouldst thou turn? , 1990 .

[8]  R. Zimmerman The Management of Risk , 1986 .

[9]  Andrew F. Fritzsche,et al.  The Health Risks of Energy Production , 1989 .

[10]  R. Brickman Science and the Politics of Toxic Chemical Regulation: U.S. and European Contrasts , 1984 .

[11]  Brian Wynne,et al.  Risk Assessment of Technological Systems — Dimensions of Uncertainty , 1984 .

[12]  P. Slovic Perception of risk. , 1987, Science.

[13]  Joanne Linnerooth,et al.  The political processing of uncertainty , 1984 .

[14]  Ralph L. Keeney,et al.  On the uses of expert judgment on complex technical problems , 1989 .

[15]  Michael Thompson,et al.  LEG Risk Assessments: Experts Disagree , 1983 .

[16]  M. Kraft The Political and Institutional Setting for Risk Analysis , 1986 .

[17]  G. E. Apostolakis,et al.  The accident sequence precursor methodology , 1990 .