Affiliation:
1. College of Landscape Architecture, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China
Abstract
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 into low-service coordination, high-service coordination, low-service imbalance, and high-service imbalance; (4) the GWO-KNN Model is applied with optimization objectives being the innovative aspect of this study. Strategies for each park category are proposed: emphasizing suburban park construction by utilizing surrounding green resources and adding diverse facilities; introducing facilities friendly to vulnerable groups to meet the needs of diverse populations; enhancing the complementary advantages between “new” and “old” cities by moderately increasing park sizes and improving cultural and facility development levels; optimizing spatial structure with limited land resources to construct an urban park network system. This study aims to provide theoretical and technical support for optimizing urban park and green space systems.
Funder
Zhejiang Provincial Natural Science Foundation Key Project
Key Program of Zhejiang Province Philosophy and Social Science Planning Interdisciplinary
Scientific Research Fund of Zhejiang Provincial Education Department
National Natural Science Foundation of China
Reference59 articles.
1. Measurement and Optimization of Supply and Demand of Park Green Space at Urban Block Scale: A Case Study of Yangpu District, Shanghai;Wang;Landsc. Archit.,2021
2. Spatial Differentiation Characteristics of Park from Perspective of Supply demand Synergy: Take Chaoyang District of Beijing as an Example;Liu;Urban Dev. Stud.,2022
3. Recreational visits to urban parks and factors affecting park visits: Evidence from geotagged social media data;Zhang;Landsc. Urban Plan.,2018
4. Revealing the differences of urban parks’ services to human wellbeing based upon social media data;Wang;Urban For. Urban Green.,2021
5. Zhang, J., Cheng, Y., Wei, W., and Zhao, B. (2019). Evaluating Spatial Disparity of Access to Public Parks in Gated and Open Communities with an Improved G2SFCA Model. Sustainability., 11.