Abstract: Using the spatial model construction tool in ArcGIS, this paper developed an urban expansion simulation model based on logistic regression and cellular automata (CA). This model consists of four modules, including a suitability module, a neighborhood effect module, a constraint effect module, and a random effect module. This model was applied to Daqing City, Heilongjiang to simulate its urban growth. In particular, this model was developed based on the historical urban land use data, calibrated using the reference map of 2000, and applied to simulating the urban expansion of Daqing City in 2015 and 2020. Analysis of results suggests several conclusions. Firstly, the developed CA urban expansion model using the model builder of ArcGIS has a clear modeling structure. It is easy to implement and avoids the burden of further programming. Secondly, according to the specific characteristics of Daqing, this model successfully examined the impact of petroleum industry on urban development and the influence of population growth on random factors. Finally, modeling results indicate that Daqing City will continue to expand in 2015 and 2020, and the urban center will shift toward north, with an eastward trend.