Original scientific paper

https://doi.org/10.17559/TV-20241111002120

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

Fei Cai orcid.org/0000-0001-7329-5303 ; College of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China *
Zhen Wang ; College of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
Telin Chen ; College of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
Xiaohui Mou ; Shandong Provincial Institute of Land Surveying and Mapping, Jinan 250013, China

* Corresponding author.

Abstract

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.

Keywords

community service facilities; diversity index; POI data analysis; spatial differentiation; urban planning

Hrčak ID:

342652

URI

https://hrcak.srce.hr/342652

Publication date:

31.12.2025.

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