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.
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North China Elect Power Univ, Coll Environm Sci & Engn, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Coll Environm Sci & Engn, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R China
Xu, Ye
Li, Ye
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North China Elect Power Univ, Coll Environm Sci & Engn, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Coll Environm Sci & Engn, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R China
Li, Ye
Zheng, Lijun
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Univ Sci & Technol Liaoning, Sch Mat & Met, Anshan 114051, Peoples R ChinaNorth China Elect Power Univ, Coll Environm Sci & Engn, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R China
Zheng, Lijun
Cui, Liang
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Shanxi Univ Finance & Econ, Coll Resources & Environm, Taiyuan 030006, Peoples R ChinaNorth China Elect Power Univ, Coll Environm Sci & Engn, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R China
Cui, Liang
Li, Sha
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Jinghai Dist Environm Protect Bur, Tianjin 301600, Peoples R ChinaNorth China Elect Power Univ, Coll Environm Sci & Engn, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R China
Li, Sha
Li, Wei
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North China Elect Power Univ, Coll Environm Sci & Engn, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Coll Environm Sci & Engn, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R China
Li, Wei
Cai, Yanpeng
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Guangdong Univ Technol, Inst Environm & Ecol Engn, Guangzhou 510006, Peoples R ChinaNorth China Elect Power Univ, Coll Environm Sci & Engn, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R China