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Resilience analysis of multi-level highway networks under disruptions

Author

Listed:
  • Zhang, Xuan
  • Zhang, Shuaijie
  • Tang, Jinjun
  • Hu, Lipeng
  • Qin, Lin

Abstract

The measurement of resilience in regional highway networks is crucial for ensuring regional safety and efficiency. This study investigates the topological and functional resilience of sub-networks and multi-level highway networks under various disruption scenarios. In particular, functional resilience is evaluated by incorporating the traffic characteristics of the highway network. Furthermore, the study explores the optimal recovery sequence of failed edges to maximize overall network resilience. To validate the proposed approach, we apply highway network and volume data from Hunan Province, China. The results demonstrate that multilevel networks exhibit greater resilience against disruptions compared to individual sub-networks. Additionally, the findings indicate that functional resilience is more vulnerable to disruptions and exhibits lower recovery effectiveness than topological resilience. These insights provide valuable guidance for stakeholders, enhancing their understanding of transportation network resilience and offering a practical reference for the development of resilience strategies.

Suggested Citation

  • Zhang, Xuan & Zhang, Shuaijie & Tang, Jinjun & Hu, Lipeng & Qin, Lin, 2026. "Resilience analysis of multi-level highway networks under disruptions," Chaos, Solitons & Fractals, Elsevier, vol. 204(C).
    • Handle: RePEc:eee:chsofr:v:204:y:2026:i:c:s0960077925017412
    DOI: 10.1016/j.chaos.2025.117728
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