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Accidents involving several plants do occur, and potential economic loss is often many times greater than that of single plant escalation accidents. The importance of domino effect on the occurrence and severity of the major accidents that take place in the process industry is emphasized. The prevention of domino accidents in chemical clusters using game theory is seldom, and there is still much space for improvement in enterprises’ efforts to prevent risk of domino accidents. The methods of assessing domino effects such as quantitative risk assessment (QRA), Bayesian networks (BN) and Monte Carlo simulation (MCS) are analyzed.
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From the analysis, we can find the characteristic of domino accidents such as the time and the location, the origin and causes of domino accidents. In the review, we summarize the research from three aspects: The statistical analysis of domino accidents in chemical process industry, the evaluation of domino accidents and the prevention of domino accidents in chemical clusters by game theory. Many researchers have studied domino effect in chemical clusters from different perspectives. Domino effect of the major accidents in chemical cluster is emphasized. Domino effect is a fairly common phenomenon in process industry accidents, which makes many process industry accidents serious and the consequent losses enhanced.