Study on the Supply-Demand Matching and Layout Optimization of Urban Green Parks Based on Social Cognitive Theory

This paper takes Yanta District of Xi’an as a case study to explore the supply-demand relationship and spatial layout optimization strategy of urban park green spaces. Through a combination of social analysis and spatial analysis, it investigates the usage characteristics and satisfaction of residents in Yanta District regarding urban park green spaces, analyzes the demand differences for park green spaces among different resident groups, and conducts an in-depth analysis of the service scope, vegetation coverage, and accessibility of park green spaces in Yanta District using multi-source data. The results show that there are problems such as unequal spatial distribution and poor overall accessibility of park green spaces in Yanta District. Based on this, this study introduces the concept of pocket parks, optimizes the site selection scheme of park green spaces using a location-allocation model, and verifies the rationality of the site selection through 3D elevation modeling. The study indicates that the optimized pocket park site selection can significantly improve the service level of park green spaces in the western green-deficient areas of Yanta District, enhance residents' happiness and satisfaction, and provide a scientific basis and practical guidance for the layout optimization of urban park green spaces.