Cellular automation can be regarded as physical systems in which space, time, and the state of the system are discrete . Due to its ability to simulate the spatiotemporal evolution of complex systems, vulnerability indexes described by cellular automation are updated dynamically with the change of spatiotemporal zones of the system . Considering the characteristics of cross-category hazards coupling scenarios in CPI, Chen et al. explored the vulnerability theory in CPI. As shown in Fig. -1, the system vulnerability is composed of three system properties: Sensitivity, Resilience, and Exposure. A cellular automation-based methodology was proposed to analyze and visualize the vulnerability of a chemical industrial park under multi-hazard coupling scenarios. The outcome of this methodology can be used to support the decision-making of regional planning, emergency management, hazards prevention and mitigation. The proposed methodology can only cope with the first propagation level of domino effects. However, numerous studies have pointed out however that the risk of high-level domino propagation cannot be ignored. According to the delimitation criterion of multi-hazard coupling scenarios, the cross-category hazards coupling scenario Chen et al. focused on is incomplete.