Abstract: Landslide is regional, group-occurring, frequent and harmful. It’s useful and effective to carry out research on regional landslide susceptibility mapping to prevent and reduce losses caused by landslides. We summarized the application of regional landslide susceptibility mapping models which include deterministic model and nondeterministic model, especially the knowledge-driven model and the data-driven model in the nondeterministic model. Moreover, we looked forward to the development tendency of these models. More researches should be carried out to select the predictors and determine the index weights of predictor objectively and quantitatively, and to avoid  the loss of useful information during the discretization of geological variables.

Key words:  regional landslide, landslide susceptibility mapping, deterministic model, knowledge-driven model, data-driven model