Extending the J-value framework for safety analysis to include the environmental costs of a large accident

Abstract A severe accident on an industrial plant has the potential to cause, in addition to human harm, general damage and hence expense, associated with ground contamination, evacuation of people and business disruption, for example. The total cost of damages, given the name “environmental costs” in this paper, may be comparable with or larger than the cost of direct health consequences, as assessed objectively by the J -value approach. While the low probability of the accident may mean that the expectation of monetary loss is small, the paper develops a utility-based approach to determine how much should be spent on protection systems to protect against both environmental costs and human harm. The behaviour of the fair decision maker in an organisation facing possible environmental costs is represented by an Atkinson Utility function, which is dependent on the organisation's assets and on the elasticity of marginal utility or, equivalently, the coefficient of relative risk aversion, “risk-aversion” for short. A Second Judgment Value, J 2 , may be derived from the spend on the protection system after subtracting the amount sanctioned to prevent direct human harm. This net, environmental expenditure is divided by the most that it is reasonable to spend to avert environmental costs at the highest, rational risk-aversion. The denominator in this ratio is found by first calculating the maximum, sensible spend at a risk-aversion of zero, and then multiplying this figure by a Risk Multiplier to give the maximum, fair amount to avert environmental costs. The Risk Multiplier incorporates a risk-aversion that is as large as it can be without rendering the organisation's safety decisions indiscriminate and hence random. An overall, Total Judgment Value, the J T -value, may also be calculated, which takes into account the reduction in both human harm and environmental cost brought about by the protection system. The new J T -value will show similar behaviour to the original J -value, in that J T -values up to unity will indicate reasonable value for money, while J T -values greater than unity will indicate a prima facie overspend on protection that will need to be justified by further argument. While the analysis is phrased in terms of environmental costs, the treatment is sufficiently general for all costs, including onsite damages, loss of capability etc. to be included. The new, J T -value method provides for a full and objective evaluation of the worth of any industrial protection system. A worked example is given.

[1]  T. Bedford,et al.  Probabilistic Risk Analysis: Foundations and Methods , 2001 .

[2]  Philip Thomas,et al.  The Extent of Regulatory Consensus on Health and Safety Expenditure: Part 1: Development of the J-Value Technique and Evaluation of Regulators’ Recommendations , 2006 .

[3]  R. D. Jones,et al.  Calculating the benefit to workers of averting a radiation exposure lasting longer than the working lifetime , 2009 .

[4]  David W. Stupples,et al.  Numerical Techniques for Speeding up the Calculation of the Life Extension Brought About by Removing a Prolonged Radiation Exposure , 2007 .

[5]  J. H. Fremlin,et al.  Power Production: What are the Risks? , 1985 .

[6]  M. F. Versteeg External safety policy in the netherlands: An approach to risk management , 1988 .

[7]  L. Bortkiewicz,et al.  Das Gesetz der kleinen Zahlen , 1898 .

[8]  N. Kaldor The Philosophy of Economics: Welfare Propositions of Economics and Interpersonal Comparisons of Utility , 1939 .

[9]  P. Johansson An introduction to modern welfare economics: Measuring welfare changes , 1991 .

[10]  R. Romer,et al.  A guidebook to nuclear reactors , 1979 .

[11]  J. Pratt RISK AVERSION IN THE SMALL AND IN THE LARGE11This research was supported by the National Science Foundation (grant NSF-G24035). Reproduction in whole or in part is permitted for any purpose of the United States Government. , 1964 .

[12]  Sheldon M. Ross Introduction to Probability Models. , 1995 .

[13]  Jan Dhaene,et al.  Modern Actuarial Risk Theory , 2001 .

[14]  J. Hicks,et al.  Value and Capital , 2017 .

[15]  Jatin Nathwani,et al.  A conceptual approach to the estimation of societal willingness-to-pay for nuclear safety programs , 2003 .

[17]  A. Atkinson On the measurement of inequality , 1970 .

[18]  R. D. Jones,et al.  Calculating the life extension achieved by reducing nuclear accident frequency , 2009 .

[19]  R. D. Jones,et al.  The limits to risk aversion: Part 2: The permission point and worked examples , 2010 .

[20]  James H. Lebovic The Law of Small Numbers , 2002 .

[21]  I. S. Gradshteyn,et al.  1 – ELEMENTARY FUNCTIONS , 1980 .

[22]  R. Larsen,et al.  An introduction to mathematical statistics and its applications (2nd edition) , by R. J. Larsen and M. L. Marx. Pp 630. £17·95. 1987. ISBN 13-487166-9 (Prentice-Hall) , 1987, The Mathematical Gazette.

[23]  R. D. Jones,et al.  The limits to risk aversion: Part 1. The point of indiscriminate decision , 2010 .

[24]  David W. Stupples,et al.  The Life Extension Achieved by Eliminating a Prolonged Radiation Exposure , 2006 .

[25]  J. Muller Elementary Functions, Algorithms and Implementation, 2nd Edition , 2006 .

[26]  David W. Stupples,et al.  Analytical Techniques for Faster Calculation of the Life Extension Achieved by Eliminating a Prolonged Radiation Exposure , 2007 .

[27]  David W. Stupples,et al.  The Extent of Regulatory Consensus on Health and Safety Expenditure: Part 2: Applying the J-Value Technique to Case Studies Across Industries , 2006 .

[28]  R. D. Jones,et al.  Incorporating the 2007 recommendations of the International Commission on Radiation Protection into the J-value analysis of nuclear safety systems , 2009 .

[29]  Philip Thomas,et al.  The trade-offs embodied in J-value safety analysis , 2010 .