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Journal of System Simulation

Abstract

Abstract: To address the issues of unclear cascading failure propagation mechanisms and difficult-to-quantify vulnerability evolution laws caused by the structural complexity and node heterogeneity of the "Belt and Road" multimodal transport network, a vulnerability assessment method for composite transportation networks integrating physical analogy and improved cascading failure model was proposed. Sub-networks were constructed based on main transportation modes of the Belt and Road, and nodes in the same city were coupled to build a composite transportation network model. An information entropy-Joule's law model was constructed to identify key nodes of the composite network and its subnetworks. A load-capacity cascading failure model conforming to the transportation state was established, and network vulnerability was measured using improved global network weighted efficiency and network connectivity. Dynamic simulations of vulnerability were conducted to analyze the vulnerability evolution under different attack strategies and varied coefficients. The results indicate that the composite transportation network effectively integrates the advantages of sub-networks and reduces system vulnerability; compared with other attack modes, intentional attacks based on node importance cause the network to collapse more rapidly; as the capacity coefficient and overload coefficient increase, the network vulnerability decreases and then gradually stabilizes.

First Page

1801

Last Page

1814

CLC

TP391.9

Recommended Citation

Qian Mingjun, Yin Chao, Huang Zhiwen, et al. Simulation Study on the Vulnerability of Belt and Road Composite Transportation Network Based on Cascading Failure[J]. Journal of System Simulation, 2026, 38(7): 1801-1814.

Corresponding Author

Yin Chao

DOI

10.16182/j.issn1004731x.joss.25-0846

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