Author(s): WU, Y., YU, Z., HAOYUE, X., YUNJING, H., Institution: NORTHEAST FORESTRY UNIVERSITY, Country: CHINA, Abstract-ID: 1232

INTRODUCTION:
Physical activity (PA) can effectively improve the publics health, and urban green space (UGS) is an important carrier for PA, influencing the publics physical health, mental health, and social health to varying degrees. The improvement of accessibility and quality of UGS has a positive impact on PA [1], which is crucial for the publics health development. However, existing research often focuses more on the fairness of UGS, and does not pay enough attention to the diverse and multi-level PA needs of the public, making it difficult to achieve more precise allocation of public resources.
METHODS:
The study primarily uses social network analysis (SNA) to construct a dual-layer network model of the physical activity capacity of UGS in Xiangfang District, based on the supply-demand relationship between UGS and PA from an accessibility perspective. The dual-layer network model is analyzed at three levels: overall, sub-area, and individual point, to explore the differences in the physical activity capacity of UGS. Additionally, after considering more influencing factors, a quality assessment system for the physical activity capacity of UGS is constructed, and linear regression analysis is used to explore how the quality of UGS physical activity capacity affects the level of physical activity demand. Finally, the quality level of UGS physical activity capacity is matched with the level of physical activity demand.
RESULTS:
When only accessibility is considered, we find a significant imbalance between supply and demand for physical activity capacity in UGS across three levels. Upon integrating quality factors of physical activity capacity in UGS into consideration, we found that, in addition to accessibility factors, for larger UGS areas, the proportion of equipment sports area, the proportion of spatial sports area, and waterfront interface ratio are significantly correlated with the level of physical activity demand. For smaller UGS areas, the proportion of spatial sports area, parking occupancy ratio, and maintenance management level are significantly correlated with the level of physical activity demand.
CONCLUSION:
Two major strategies are proposed to achieve more precise optimization of physical activity capacity network system: in areas with no or low physical activity capacity, it is necessary to reasonably supplement small UGS and improve the quality of surrounding UGS; in areas with physical activity capacity, it is necessary to categorically improve UGS nodes that are classified as optimized (quality level > demand level), upgraded (quality level < demand level), or matched (quality level = demand level).
References:
1. Zhang, Y., Koene, M., Reijneveld, S. A., Tuinstra, J., Broekhuis, M., van der Spek, S., & Wagenaar, C. (2022). The impact of interventions in the built environment on physical activity levels: a systematic umbrella review. International journal of behavioral nutrition and physical activity, 19(1), Article 156. https://doi.org/10.1186/s12966-022-01399-6