Urban Green Space Assessment: Spatial Clustering Method Based on Multisource Data to Facilitate Zoning Planning
Publication: Journal of Urban Planning and Development
Volume 150, Issue 4
Abstract
Urban green spaces (UGSs) have potential significance for urban ecosystems, as they provide environmental benefits and benefits for residents' physical activity and mental health. Objective assessments of UGSs are necessary for optimizing the allocation of green space public resources and providing a basis for social equality. Previous studies have adopted a few indicators to evaluate UGS provision but have neglected multidimensional interaction characteristics. This study proposes a framework that integrates principal component analysis and the spatial clustering method to identify geographically homogeneous subregions with similar characteristics, including dimensions of accessibility, ecological function, quality, and quantity. Shenzhen, China, was selected as a case study, and the results indicate the following: (1) the multiple dimensions of UGSs are unevenly distributed, and it is necessary to evaluate UGSs from multiple dimensions; and (2) there are significant disparities in UGSs among different clusters that can be summarized to guide the improvement of green space equity. It is necessary to increase the number of community parks and optimize the green view index in more densely populated areas and the outskirts. Our study provides an intuitive and comprehensive evaluation framework for the distribution of UGSs and identifies their characteristics in different subregions, which is valuable for space quality improvement and reasonable zoning planning.
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Data Availability Statement
Some or all data, models, or codes generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions.
Acknowledgments
This research was funded by the National Natural Science Foundation of China (41901326), the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources (KF-2023-08-24) and the Social Science Foundation of Jiangsu Province (21SHC005).
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Journal of Urban Planning and Development
Volume 150 • Issue 4 • December 2024
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© 2024 American Society of Civil Engineers.
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Received: Aug 3, 2023
Accepted: Apr 30, 2024
Published online: Jul 18, 2024
Published in print: Dec 1, 2024
Discussion open until: Dec 18, 2024
ASCE Technical Topics:
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