As the demand for cultural and recreational services grows, the mismatch between the supply and demand of park services significantly affects residents’ well-being. Optimizing the spatial layout of park services is a focal point of urban park and green space research. Taking Hangzhou, Zhejiang Province, as a case study, this research analyzes the spatial patterns and balance of park service supply and demand. Utilizing the Grey Wolf Optimization Model optimized by the K-Nearest Neighbor Model (GWO-KNN), this study proposes construction objectives for optimizing park services. The results indicate the following: (1) significant differences exist in the park service demands of residents in different residential environments; (2) there is a noticeable spatial disparity in park service supply among various residential areas with an overall positive correlation between park service supply levels and resident demands, yet an imbalance exists; (3) this study categorizes spatial types in
Emcees for the Asian Games made headlines during the National Day holidays, as their choices for the songs electrifying the atmosphere at the venues have been hailed as showing a “comprehensive understanding” of the athletes.
Over the past eight days, people in China enjoyed a vacation that combined the Mid-Autumn Festival and the National Day. People chose to spend the holiday in various ways, showcasing a surge in travel and consumption.