295. Resilience assessment of cross-border freight transport networks considering cascading failure
Invited abstract in session TC-39: Resilient Infrastructure System, stream Sustainable & Resilient Systems and Infrastructures.
Tuesday, 12:30-14:00Room: Newlyn LG.01
Authors (first author is the speaker)
| 1. | Tonglaga Wang
|
| College of Management and Economics, Tianjin University |
Abstract
As the Belt and Road Initiative advances, cross-border railway projects like the China-Europe Railway Express enhance regional connectivity. However, deglobalization and geopolitical conflicts increase network uncertainties. Disruptions such as natural disasters, failures, or attacks can trigger cascading failures, where local faults spread, causing systemic collapse, service disruptions, and economic losses. The 2022 Russian railway explosion highlighted network vulnerabilities.
This study applies hypernetwork theory and the coupled map lattice (CML) model to analyze the network’s topology (degree distribution, node importance) and simulate cascading failures under random and targeted attacks. Key findings include (1) Border ports like Alashankou and Khorgos are the most vulnerable. (2) Targeted attacks on high-degree and high-betweenness nodes cause greater damage than random attacks. (3) The topological coupling coefficient strongly influences failure propagation. (4) As flow coupling increases, impact shifts from high-strength to high-degree nodes.
This study provides strategies to enhance network resilience. (1) Use redundancy design to optimize topology and mitigate power-law effects at key nodes. (2) Prioritize resources for failed nodes; pre-allocate to congestion-prone nodes and transfer-limited nodes. (3) Strengthen safeguards for high-degree and high-betweenness hubs, establishing dynamic risk monitoring.
Keywords
- Railway Applications
- Disaster and Crisis Management
- Transportation
Status: accepted
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