No title
Quantitative Risk Analysis (QRA) for hazardous materials facilities remains dominated by event tree partitioning into discrete scenarios, with many calculations performed manually. This study formalizes the classical individual and societal risk metrics within the framework of probability theory. The resulting framework enables deeper theoretical inquiry and makes underlying assumptions explicit.
