Abstract: Landslide susceptibility evaluation is the basis and key to identify landslide hazard target area.The Jurassic stratum area in Zigui County, the Three Gorges Reservoir area, is a landslide hazard prone area.Eight influencing factors including slope, surface cutting depth, curvature, and distance from water system to road network were selected.The information model(I)was coupled with four common machine learning models, namely artificial neural network(ANN),random forest(RF),XGBboostand support vector machine(SVM)to carry out the evaluation of landslide susceptibility.Through a comparative analysis on the receiver operating characteristic curve, it was found that the AUC valuein the ROC curve of the model coupled with information valuemodel and SVMmodel was the largest(0.848).The zoning map of landslide susceptibility showed that the high-prone areas were concentrated on both sides of the water system and the road network, and the results were basically consistent with the actual landslide distribution.The research results can provide reference for regional landslide susceptibility evaluation and landslide disaster prevention.