Landslide susceptibility mapping along the China Pakistan Economic Corridor (CPEC) route using multi-criteria decision-making method

This study maps the landslide susceptibility along the China-Pakistan Economic Corridor (CPEC) route using multiple landslide causative factors. A decisive statistical approach and the Geographic Information System (GIS) were used to map the route's susceptibility. The study area comprises a 236 km section of the Karakoram Highway, located in a region subjected to repeated landslides. The maps of different causative factors, including topographical, geological, and hydrological factors, were generated through GIS using data obtained from various sources. The causative factors were weighted according to their potential for developing a landslide event in a pairwise matrix of a multi-criteria decision-making approach. The analytical hierarchy process was applied to get the Consistency Index that governed the whole rating process. The weights of the landslide causative factors were used for generating the study area's final landslide susceptibility map. The results indicated that about 38% of the study area falls under the category of high and very high susceptibility. The outcomes of this study could be valuable in the identification of the parameters at a given area or region that are more prominently influencing the happening of landslides, in this way permitting the more viable preventive measures to be taken.

Automated summary

This study utilized GIS technology and a decisive statistical approach to map the landslide susceptibility along the China-Pakistan Economic Corridor route, considering various landslide causative factors. The results showed that about 38% of the study area is classified as high to very high susceptibility, providing valuable insights for landslide prevention measures.