Earthquake will cause surface vibration and damage, and increase the probability of landslide, collapse, debris flow and other secondary disasters. It is an effective measure to predict the vulnerability of geological disasters in cities located in seismic zones. In order to explore the influence of regional geological development degree on geological disasters, Pingwu County in the Songpan-Bianchang typical seismic belt was taken as an example, and the inducement factors of geological disasters were selected from six aspects: topographic and geomorphic features, stratigraphic geological conditions, meteorology and hydrology, development characteristics of seismic belt, soil and vegetation, and the influence of human engineering activities. Three evaluation models, information-information model, information-analytic hierarchy process (AHP) and information-random forest (RF), were used to evaluate the vulnerability of geological disasters in Pingwu County. The results show that the comparative analysis results of information-RF model are better than the other two models. The area under curve (AUC) value (0.991) of the information-RF model evaluated by receiver operating characteristics (ROC) curve accuracy is higher than that of the information-AHP model (0.931) and the information-AHP model (0.920), indicating that the comprehensive vulnerability assessment model based on the information-coupled random forest is more suitable for the vulnerability assessment of geological disasters in seismic zones and has good prediction accuracy.