Abstract: Typhoon and the associated rainstorms induced clusters of landslides in Taishun County,Zhejiang Province,resulting in substantial economic losses and casualties.Quantifying the relationship between inducing factors and landslide occurrence is essential for landslide risk assessment in the region.This study investigated 1 241 landslides triggered by Typhoon Meranti in 2016 and analyzed their spatial distribution.Twelve factors,including slope gradient,aspect,topographic curvature,engineering geological formations,and rainfall,were selected to construct a hazard assessment framework.A coupled model combining frequency ratio (FR) analysis and Logistic regression was further developed,where FR was used to monotonicize the factor data.The results indicate that typhoon-induced landslides in Taishun County are primarily small soil landslides.The proposed model achieved a high predictive performance,with a ROC value of 0.955.Landslide-prone areas are located in Zhuli Town,Siqian Town,and the Wuyanling National Nature Reserve.In addition,Logistic regression coefficients identified topographic curvature,slope gradient,aspect,and vegetation type as the most influential factors controlling landslide occurrence.Specifically,topographic curvature is negatively correlated with landslide hazard (β=3.479),with FR analysis indicating that every 0.1 decrease in curvature increases the probability of landslide occurrence by 24.4%.