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<p>The robustness of motorway networks is critical to ensuring the stability of transportation systems under hazards. Responding to the limited research on road network robustness subject to landslides, this study develops a robustness assessment framework that integrates landslide susceptibility evaluation, landslide scenario simulation, and network performance analysis. Using the motorway network of Hunan Province as a case study, the Information Value Method (IVM) is applied to calculate the regional Landslide Susceptibility Index (<i>LSI</i>). Secondly, based on the <i>LSI</i> and the proportional distribution of landslide volumetric magnitudes, a large number of landslide scenarios are generated using the Monte Carlo simulation to quantify the impact of landslides on the total travel time of the network. Finally, A road segment importance index is defined based on betweenness centrality, change in average path length, landslide susceptibility index, and traffic flow to identify critical links under landslide hazards. The results indicate that: the motorway network under landslides exhibits the characteristic of being “overall robust yet locally vulnerable”; the critical segments identified through the importance index play a significant role in enhancing network connectivity and traffic efficiency; and compared with betweenness-based and random repair strategies, the importance-based restoration approach enables a faster recovery of network performance during the early restoration stage. The findings provide theoretical support for risk reduction, mitigation planning, and post-disaster recovery decision-making for mountain motorways.</p>

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Robustness assessment of motorway networks under rainfall-induced landslides

  • 期刊论文

  • 发表日期：

    2026年3月18日

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  • Jie Li,
  • Caifeng He,
  • Quanjun Zhu,
  • Xinyu Zhang,
  • Chaoru Lu,
  • Yun Zhou

摘要

The robustness of motorway networks is critical to ensuring the stability of transportation systems under hazards. Responding to the limited research on road network robustness subject to landslides, this study develops a robustness assessment framework that integrates landslide susceptibility evaluation, landslide scenario simulation, and network performance analysis. Using the motorway network of Hunan Province as a case study, the Information Value Method (IVM) is applied to calculate the regional Landslide Susceptibility Index (LSI). Secondly, based on the LSI and the proportional distribution of landslide volumetric magnitudes, a large number of landslide scenarios are generated using the Monte Carlo simulation to quantify the impact of landslides on the total travel time of the network. Finally, A road segment importance index is defined based on betweenness centrality, change in average path length, landslide susceptibility index, and traffic flow to identify critical links under landslide hazards. The results indicate that: the motorway network under landslides exhibits the characteristic of being “overall robust yet locally vulnerable”; the critical segments identified through the importance index play a significant role in enhancing network connectivity and traffic efficiency; and compared with betweenness-based and random repair strategies, the importance-based restoration approach enables a faster recovery of network performance during the early restoration stage. The findings provide theoretical support for risk reduction, mitigation planning, and post-disaster recovery decision-making for mountain motorways.