<p>The Chinese government’s primary policy objective in promoting new-type urbanization in recent years has been to enhance people-oriented social welfare. China, as a representative nation of the Global South, positions its counties as the optimum spatial unit for enhancing the integrated development of urban and rural areas, policy implementation must ensure that the capacities and quality of county-level public service facilities are maintained. This paper introduces a set of evaluation and optimization methods for county public service facilities. This method incorporates individual spatiotemporal positioning big data and public service facility AOI data. Using the spatial grid as the analysis unit, the method divides the statistics of the county public service facilities and employs the land area of public service facilities as the medium to calculate the demand value and supply value. Subsequently, specific recommendations for facility optimization and configuration are provided. This paper examines the supply-demand matching of the county’s public service facilities from the macro scale of towns to the micro-scale of spatial analysis units, using Jurong county-level city in Jiangsu province as an experimental case. It demonstrates that schools, entertainment venues, and administrative facilities can attain full coverage. The majority of towns possess adequate hospitals and cultural facilities; nonetheless, facilities are deficient for the aged. The research delineates three types of spatial characteristics regarding the allocation of public service facilities at the meso-scale: flaky distribution, cluster distribution and cyclic distribution, and provides specific guidelines and recommendations for optimization.</p>