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System dynamics model identifies risk factors in hazardous chemical accidents, suggesting complex network implications.
This paper is based on a system dynamics model established, collecting 170 cases of hazardous chemical fire and explosion accidents from both domestic and international sources. The risk factors in the system are treated as nodes in a network, with the coupling relationships between these risk factors serving as the edges connecting the nodes. A multi-factor risk coupling network model for hazardous chemical fire and explosion accidents is constructed using methods related to complex network theory. Based on the characteristic parameters of complex networks, an initial analysis of secondary risk factors within each subsystem is conducted, identifying nodes with high out-degree centrality, in-degree centrality, and clustering coefficient in the network.
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Zhu et al. (2025) studied this question.
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