Abstract: In order to deeply understand the background of landslides and reduce the loss of life and property caused by landslide hazards, the research took Weixi County as a case study, and nine disaster-causing factors were selected, including elevations, slopes, aspects, rainfalls, distances from rivers, engineering geological petrofabric, distances from faults, NDVI and road densities. Then, the model of CF-PCCs was selected to analyze the susceptibility of disaster-causing factors, and the accuracy of the analysis results was verified. The results showed that: ① Factor susceptibilities ranged from high to low as follows: aspects, rivers, elevations, rainfalls, faults, roads, slopes, engineering geological petrofabric, and NDVI; ② The factor categories with the greatest susceptibility included: 1486−2600 m elevations, 0°−20° slopes, semi-sunny slope aspects, 782−1178 mm rainfalls, 0−300 m distances from rivers, extremely soft rock engineering geological petrofabric, 2400−3200 m distances from faults, −0.169−0.039 NDVI, and 80−117 road densities; ③ The CF-PCCs model had high accuracy and the data analysis results were reliable, which could provide new ideas for the susceptibility analysis of landslide hazards.