Abstract: Big data POI is used to analyze the temporal and spatial evolution characteristics of public service facilities in villages and towns, identify their influencing factors and action laws, promote the construction of public service facilities and help rural revitalization. Taking Suining County of Xuzhou City, Jiangsu Province as an example, this paper uses a variety of spatial analysis methods to mine the characteristics of temporal and spatial evolution, and uses the grid division method to visualize the characteristics of temporal and spatial evolution. It is found that there are great differences between villages and towns, and the spatial distribution of five types of facilities is different. The diversity index method is used to obtain the comprehensive characteristics of internal expansion and external expansion of facilities. Through the buffer zone analysis, it is found that all kinds of facilities have the characteristics of agglomeration and dispersion. Then, combined with the statistical data, it reveals the impact of economy, industry, population and policy. It is found that the economy promotes the rapid development of public service facilities, especially the tertiary industry significantly promotes the development of commercial and financial facilities, while the primary and secondary industries play a weak role in public service facilities. The population promotes the development of educational institutions and medical and health care facilities from the demand side, and the policy of integrating villages and towns strengthens the trend of centralized supply of public services.