“…At the moment, the susceptibility assessment research of geological disasters is undertaking a significant shift away from traditional qualitative evaluation to qualitative-quantitative evaluation. Analytic hierarchy process (AHP) (Gu et al, 2021;Guerriero et al, 2022;Shen et al, 2021), comprehensive index method (Anaokar et al, 2021), logistic regression analyses (Woo et al, 2014;Xu et al, 2013;Zhao & Chen, 2020), neural networks (Quan & Lee, 2012;Tian et al, 2019;Tsangaratos & Benardos, 2014), support vector machines (Kumar et al, 2017;Orhan et al, 2022;Pham et al, 2019), random forests (Kim et al, 2018;Sun, Wen, et al, 2020), information content method (ICM) (Ba et al, 2017;Fan et al, 2012;Singh & Kumar, 2017), and others are now widely used as commonplace assessed models for the susceptibility evaluation. When compared with the existing assessment approaches, the advantages of qualitative-quantitative evaluation models have a better level of accuracy than the qualitative models.…”