Game Theory-Based Rescue Schemes for Domino Accidents in Industrial Parks

Chemical industrial parks have an overconcentration of major risk sources. The high density of plants and various hazardous chemicals makes it easy for a domino effect to occur, with serious consequences. In this study, the dynamic process of a domino accident was divided into several stages using an incomplete information dynamic game. The transport plan for emergency supplies was determined to achieve the lowest expected cost. This improves the efficiency of emergency supply distribution. To resolve the conflict between rescue time and expected cost in target decision-making, the evolutionary game method was used to analyze the performance of emergencies and decision-makers under different combinations of target behaviors. Multiple plants can achieve an equilibrium state characterized by the average time and lowest cost. This study can serve as a reference for studying dynamic game problems in cases involving multiple rescue schemes. Moreover, it can assist in designing site selection and planning from the viewpoint of inherent safety.