Green space is an important open space to improve the quality of life and happiness of residents in the region; however, significant disparities exist in the green space enjoyed by residents across different areas. This paper takes the ChangZhuTan metropolitan area as a case study, using construction land to replace human activity areas, and measuring the green space enjoyment of human activity areas in 2000, 2010, and 2019 by considering distance factors to construct iterative buffer zones. Based on time series remote sensing data, the Gini coefficient and supply-demand difference index are used to explore the spatiotemporal differences, spatial equity evolution, and supply and demand characteristics of green space enjoyed by different regions. The results show that:①The maximum negative growth of green space area is always located in the center of the metropolitan area, and the value of area change shows a radial pattern, intensifying from the periphery toward the center.②From 2000 to 2019, the count of green space at the 30-meter grid pixel level within human activity areas in the ChangZhuTan metropolitan region has generally decreased, shifting from a range of 26000-30000 to 2000-12000.③The distribution of green space in ChangZhuTan metropolitan area is uneven, and there is a significant difference in the Gini coefficient between different areas, which fluctuates over time. The fairness of green space distribution in most areas has not shown an improvement trend.④There is a certain degree of spatial mismatch between the service level and demand of green spaces in many towns and streets, with 5% of towns and streets having very high or high demand and very low supply, concentrated in Changsha; The towns and streets with a balanced supply and demand of green spaces are mainly distributed on the edges of urban agglomerations. This study helps to inspire urban agglomerations to promote the coordination between green space supply and demand through the optimization of spatial governance policies and planning.