Information on maximal potential consequences of an accident is important as society and individuals are reluctant to accept options bearing potentially large negative outcomes or large uncertainties. Simply multiplying probability by potential outcomes does not address this issue. Some authors and studies have thus applied a risk-aversion factor (larger than one) to low-probability/high-consequence events, but the choice of the coefficient is subjective and controversial. The valuation of this subjective aspect can be appropriately assessed in a multi-criteria analysis: the SECURE project identifies three separate risk indicators to characterise the risk of severe accidents and to be used in a multi-criteria decision analysis framework (Eckle et al.,