Risk assessment of roadway networks exposed to landslides in mountainous regions—a case study in Fengjie County, China

• Published in: Landslides Vol. 20; no. 7; pp. 1419 - 1431
• Main Authors: Zhang, Yanjie, Ayyub, Bilal M., Gong, Wenping, Tang, Huiming
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2023; Springer Nature B.V
• Subjects: Accessibility; Agriculture; Case studies; Civil Engineering; Earth and Environmental Science; Earth Sciences; Emergency preparedness; Emergency response; Environmental risk; Geography; Geological hazards; Impact assessment; Landslides; Landslides & mudslides; Mitigation; Mountain regions; Mountainous areas; Mountains; Natural Hazards; Networks; Original Paper; Paralysis; Regions; Risk assessment; Roads; Roads & highways; Segments; Support vector machines; China; Roadway network; Support vector machine; Landslide susceptibility mapping; Road connectivity; Risk assessment
• ISSN: 1612-510X; 1612-5118
• DOI: 10.1007/s10346-023-02045-3

Landslides frequently disrupt roadway networks in mountainous regions worldwide. Because of the relatively long roadway extension and low roadway density in mountainous regions, the occurrence of a landslide hazard along a local road segment will cause traffic paralysis on the individual roadway and will further impact regional roadway network accessibility. This paper establishes an integrative risk assessment framework based on risk theory and complex network theory to combine the results of landslide susceptibility mapping along roadways and impact assessment on the roadway network. Through an analysis of the relationship between various geo-environmental conditioning factors and historical landslides along roadways, the support vector machine (SVM) model is used to assess landslide susceptibility across the regional roadway network. Both topological connectivity of the entire roadway network and transport accessibility between local residents are considered in the impact assessment on roadway networks. To illustrate the effectiveness of the proposed risk assessment framework, a case study of the roadway network in Fengjie County, China, which is prone to landslide occurrence, is conducted. The resulting landslide risk heatmap of Fengjie County’s roadway network is generated using ArcGIS software. The most critical road segments are identified as being highly susceptible to landslides, and if they are disrupted, the entire roadway network will suffer significant performance loss. The results can support adaptive strategies for landslide mitigation, preparedness, and emergency response services, as well as improve roadway plans to reduce exposure and associated consequences by adding new links to the existing roadway network.