[Objective] In order to provide a theoretical basis for urban planning and disaster prevention and mitigation engineering, the zoning evaluation on urban landslide proneness was conducted.[Methods] The evaluation was conducted at urban area of Yichang City, Hubei Province. Evaluation indicators, i.e. elevation, slope gradient, lithology, normalized difference vegetation index(NDVI), distance to watercourse and roading density, were identified by GIS platform; the relations between landslide proneness and evaluation indicators were analyzed based on likelihood ratio method, and the evaluation indicators could be quantified using the generalized likelihood ratio. As the independent variable in Logistic regression model, the regression model of landslide proneness evaluation was established based on sample datum.[Results] The significance of evaluation indicators was tested notable. The overall accuracy and the area under the ROC curve of evaluation model reached to 79.2% and 0.871 respectively. The extremely low proneness zone and the low proneness zone covered 61.59% of the total area, where landslide contributed 11.29% of the total landslides. Landslides in the high proneness zone and the extremely high proneness zone accounted for 68.55%, although it covered only 17.88% of the total area. The evaluation outcomes were conincided with the distribution of historical landslides by and large.[Conclusion] The landslide proneness of urban area of Yichang City is classified. The result of landslide proneness evaluation based on GIS and Logistic regression model is accurate and reliable.