【Objective】With the balance and synergistic development between park green space and resident population as the goal, this study aims to improve the timeliness of park construction and provide a scientific basis for the construction of a low-carbon, efficient, economical and environment-friendly urban green space system.【Method】By selecting qualitative and quantitative indexes to construct an evaluation system for recreational supply and demand and the synergy degree quantitative model, this study used the main urban region of Zhengzhou City as an example, evaluated and analyzed the spatial differentiation of the synergy degree in the administrative units, and optimized the spatial pattern of park green space by combining upper planning and using the location distribution function in ArcGIS.【Result】The recreational supply and demand system of the main urban region of Zhengzhou City is of low-grade synergy level and hysteretic supply type, and a dislocation between supply and demand exists between old and new urban areas. There are spatial differences among the administrative districts. Jinshui District has the highest synergy level but the largest gap between supply and demand, which are opposite to those of the Jingkai District. Based on the optimization strategies for improving the quality of parks, increasing the number of parks, and integrating the affiliated green space, the increments of synergy of the Jinshui District and Jingkai District are 0.047 4 and 0.121 8, respectively.【Conclusion】The evaluation system and model can reflect the spatial pattern of the synergy between the supply and demand of park green space, so as to effectively guide the synergistic optimization of supply-side indexes, improve the supply capacity, and reduce the gap between supply and demand within each district and between new and old urban resources.