Interpretation of Spatial-Temporal Patterns of Community Green Spaces Based on Service Efficiency and Distribution Characteristics: A Case Study of the Main Urban Area of Beijing, China

Urban-scale green spaces have been a central topic as of late, but community-scale are overlooked in urban studies. This paper takes community the main area Beijing case to quantitatively interpret spatial-temporal patterns their service efficiency and distribution characteristics. The measurement section includes two parts: first part compares applicability major space methods on scale determines that Shortest Time Distance method performs better describing efficiency. second applies Entropy initially identify locational relationship between neighboring residential buildings, then proposes Green Space Distribution Coefficient based this analyze ‘courtyard’, ‘mixed’, ‘centralized’ types alongside transition relationships them, characteristics measured. results reveal paradigms transform from ‘humanistic-oriented’ ‘benefit-oriented’ values show an ascending trend with passage years outward expansion ring roads. culture transforms ‘closeness’ ‘detachment’ descending under same conditions. Based measurements, further provides several optimizing strategies for Beijing.