Mapping Community Facility Diversity in Chengdu: A POI and Clustering-Based Approach

Urban community service facilities play a critical role in shaping residents' quality of life and influencing urban livability and development patterns.This study examines the diversity and spatial differentiation of community service facilities in five districts of Chengdu, China, using Points of Interest (POI) data.The Shannon-Wiener diversity index is employed to quantify facility distribution, while spatially constrained multivariate clustering identifies distinct spatial patterns and facility concentration areas.Findings reveal that community facility diversity is highest in the central urban areas, forming a "fan-shaped" pattern of service clusters extending toward the periphery.The clustering results indicate unequal service distribution, with some peripheral areas lacking key community facilities.These insights offer valuable implications for urban planners and policymakers, emphasizing the need for balanced facility allocation, improved accessibility, and community-driven infrastructure planning.Future research should explore dynamic changes in facility distribution over time and the integration of multi-source urban data to refine spatial planning strategies.