The hazard-affected objects can be regarded as nodes, and the quantitative possibility of accident propagation may be represented by the weight of the links between nodes in a network or graph . Following this basic concept, graph-based methodologies may provide a framework to tackle complex multi-hazard coupling scenarios and higher-order propagations . Static graph-based methods such as Petri-nets and Bayesian Networks offer great advantages in capturing spatial evolution characteristics of domino accidents .