[Objective] Bedding rock landslide is one of the most developed disasters in daba mountain areas. A prediction evaluation model is constructed to provide scientific support for disaster prevention and pre-disaster work in this area, by studying the contribution rate and vulnerability of its development factors.[Methods] This paper selects the sample of 21 bedrock bedding landslides in the study area, and the basic data of nine influencing factors such as elevation, slope and slope structure were extracted by GIS technology. The samples were calculated by quantitative theoretical calculation methods to determine the category score of the factors, and then evaluates the whole range.[Results] The factors affecting the high contribution rate of landslide are:slope around 10°~20°, beding slope structure, rock mass structure of sandy hard rock with soft rock, confluence area, water erosion; The susceptibility prediction method established by quantitative theory Ⅱ can accurately divide the regional susceptibility.[Conclusion] The landslide susceptibility prediction method combined with GIS and quantitative theory Ⅱ is suitable for the study of landslide susceptibility and risk in this area.