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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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Qidi Dong & Heng Lu & Xiaohong Luo & Pengman He & Di Li & Linjia Wu & Yundi Wei & Xuli Chen, 2023. "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," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:15014-:d:1262268
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    References listed on IDEAS

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    Cited by:

    1. Jan Cudzik & Michał Nessel, 2024. "Computational Approach towards Repetitive Design Tasks: The Case Study of Parking Lot Automated Design," Sustainability, MDPI, vol. 16(2), pages 1-16, January.
    2. Kelei Li & Wenpeng Du & Zhiqi Yang & Huimin Yan & Yutong Mu, 2024. "Spatio-Temporal Pattern of Urban Green Space in Chengdu Urban Center under Rapid Urbanization: From the Policy-Oriented Perspective," Land, MDPI, vol. 13(4), pages 1-17, March.

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