Evaluation and Optimization of Green Space Fairness in Urban Built-Up Areas Based on an Improved Supply and Demand Model: A Case Study of Chengdu, China

Qidi Dong (), Heng Lu, Xiaohong Luo, Pengman He, Di Li, Linjia Wu, Yundi Wei and Xuli Chen
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Qidi Dong: School of Art and Design, Xihua University, Chengdu 610039, China
Heng Lu: Sichuan Academy of Forestry, Chengdu 610036, China
Xiaohong Luo: Chengdu Park City Construction and Development Research Institute, Chengdu 610036, China
Pengman He: College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China
Di Li: Geophysical Exploration Brigade of Hubei Geological Bureau, Wuhan 430100, China
Linjia Wu: College of Art, Sichuan Tourism University, Chengdu 610100, China
Yundi Wei: School of Art and Design, Xihua University, Chengdu 610039, China
Xuli Chen: School of Art and Design, Xihua University, Chengdu 610039, China

Sustainability, 2023, vol. 15, issue 20, 1-22

Abstract: Urban green space (UGS) is an important public infrastructure. However, the rapid development of cities and the insufficient supply and uneven distribution of UGSs have led to a mismatch between them and various needs, which has seriously affected environmental justice and social equity. This study discusses the fairness of UGS from the perspective of supply and demand and improves the theoretical framework of supply and demand combination evaluation. First, this study analyzes the supply of UGSs through accessibility analysis and evaluates their demand from both subjective and objective dimensions. Second, the fairness of UGS is analyzed from a Gini coefficient and spatial evaluation perspective. Finally, the location optimization of UGSs is performed, which provides strategic guidance for the improvement of UGSs in Chengdu. The research results based on Chengdu City show that the travel mode directly affects the supply range of UGSs and is reflected in their fairness. At the same time, in the case of a highly dense population, UGSs in the city are in short supply; that is, the equity is negatively correlated with the population. This study provides a new perspective to evaluate UGS fairness and can be a reference for UGS optimization decisions.

Keywords: urban green space; big data; supply–demand perspective; urban spatial equity; spatial optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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