Abstract:

【Objective】 The analysis of urban green space accessibility effectively measures the relationship between the demand and supply of urban green spaces to improve the urban public services.【Method】 The Huff model was introduced based on the two-step floating catchment area method (2SFCA), and an improved 2SFCA (i2SFCA) was proposed. The main urban area of Xinxiang was defined as the research area for analysis. Results on the spatial accessibility of urban green space for pedestrians calculated by the two methods were compared and analyzed using Geographic Information Systems.【Result】 The experimental results highlighted three key findings. First, i2SFCA is more adaptable and flexible than 2SFCA, particularly in terms of quantifying green space accessibility in the boundary area. Second, the distribution of urban green space was imbalanced in the main urban area of Xinxiang. Additionally, the spatial accessibility for each district varied greatly; it was low in the west and high in the east. Third, the spatial distribution of population and urban green space accessibility was not coordinated; as such, there is an urgent need to improve the areas characterized by high population density and low accessibility. In future constructions of urban green space, the distribution of green space requires greater balance, where small street green spaces should be increased, belt green spaces should be improved, and the service quality of green spaces should be enhanced. 【Conclusion】 The experimental comparison of two computational space accessibility methods demonstrates that the i2SFCA method is more advantageous in this application. This study highlighted the lack of park green space resources in the city, providing a data basis to improve the level of social services in the city.

Key words: urban green space, accessibility, improved two-step floating catchment area method(i2SFCA), spatial pattern, Xinxiang, Henan Province