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Assessing Supply and Demand Discrepancies of Urban Green Space in High-Density Built-Up Areas Based on Vitality Impacts: Evidence from Beijing’s Central Districts, China

Author

Listed:
  • Jingyi Han

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Shoubang Huang

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Shiyang Zhang

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Qing Lin

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Xiangrong Wang

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

Abstract

In rapidly urbanizing areas, there is a notable aggregation of vitality in high-density urban environments, accompanied by an increasing discrepancy between the supply and demand of urban green space (UGS). This study presented an integrated framework comprising a model for UGS supply-demand coupling coordination and a measure of urban vitality. Using downtown Beijing as a case study, the Gini coefficient assessed UGS supply-demand disparities across different vitality types. The study examined how UGS supply and demand factors interact with urban vitality, revealing the impact of UGS supply-demand imbalances on various dimensions of vitality and the UGS mismatches experienced by different vitality groups. The study showed that: (1) 63.29% of central Beijing’s areas had low UGS supply-demand coordination, with 39.23% experiencing UGS mismatches; (2) UGS supply and demand were significantly correlated with urban vitality spatial distribution; (3) these factors significantly impacted urban comprehensive vitality; (4) and there were notable UGS distribution disparities among vitality groups, with economic vitality group perceiving the greatest inequity (Gini = 0.311), followed by social vitality (Gini = 0.289) and cultural vitality group (Gini = 0.247). These findings offer valuable insights for a more refined assessment and enhancement of UGS, aiming to achieve balanced, high-quality, and sustainable urban development.

Suggested Citation

  • Jingyi Han & Shoubang Huang & Shiyang Zhang & Qing Lin & Xiangrong Wang, 2025. "Assessing Supply and Demand Discrepancies of Urban Green Space in High-Density Built-Up Areas Based on Vitality Impacts: Evidence from Beijing’s Central Districts, China," Sustainability, MDPI, vol. 17(11), pages 1-31, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:11:p:4828-:d:1663241
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    References listed on IDEAS

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    1. Liwei Qin & Wenke Zong & Kai Peng & Rongpeng Zhang, 2024. "Assessing Spatial Heterogeneity in Urban Park Vitality for a Sustainable Built Environment: A Case Study of Changsha," Land, MDPI, vol. 13(4), pages 1-24, April.
    2. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    3. Tao Liu & Le Yu & Xin Chen & Yunmiao Chen & Xiaomeng Li & Xinyi Liu & Yue Cao & Fan Zhang & Chenggang Zhang & Peng Gong, 2024. "Identifying Potential Urban Greenways by Considering Green Space Exposure Levels and Maximizing Recreational Flows: A Case Study in Beijing’s Built-Up Areas," Land, MDPI, vol. 13(11), pages 1-22, October.
    4. Haize Pan & Chuan Yang & Lirong Quan & Longhui Liao, 2021. "A New Insight into Understanding Urban Vitality: A Case Study in the Chengdu-Chongqing Area Twin-City Economic Circle, China," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    5. John W. M. Yuen & Katherine K. P. Chang & Frances K. Y. Wong & Fiona Y. Wong & Judy Y. M. Siu & H. C. Ho & M. S. Wong & Janice Y. S. Ho & K. L. Chan & Lin Yang, 2019. "Influence of Urban Green Space and Facility Accessibility on Exercise and Healthy Diet in Hong Kong," IJERPH, MDPI, vol. 16(9), pages 1-15, April.
    6. Li, Lei & Zheng, Yifan & Ma, Shaojun & Ma, Xiaoyu & Zuo, Jian & Goodsite, Michael, 2025. "Unfavorable weather, favorable insights: Exploring the impact of extreme climate on green total factor productivity," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 626-640.
    7. Hanneke Kruize & Nina van der Vliet & Brigit Staatsen & Ruth Bell & Aline Chiabai & Gabriel Muiños & Sahran Higgins & Sonia Quiroga & Pablo Martinez-Juarez & Monica Aberg Yngwe & Fotis Tsichlas & Pani, 2019. "Urban Green Space: Creating a Triple Win for Environmental Sustainability, Health, and Health Equity through Behavior Change," IJERPH, MDPI, vol. 16(22), pages 1-22, November.
    8. Lei Li & Yilin Zheng & Shaojun Ma, 2023. "Links of urban green space on environmental satisfaction: a spatial and temporarily varying approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3469-3501, April.
    9. Qidi Dong & Jun Cai & Shuo Chen & Pengman He & Xuli Chen, 2022. "Spatiotemporal Analysis of Urban Green Spatial Vitality and the Corresponding Influencing Factors: A Case Study of Chengdu, China," Land, MDPI, vol. 11(10), pages 1-17, October.
    10. Yi Dang & Chengjin Wang & Peiran Chen, 2022. "Identification and Optimization Strategy of Urban Park Service Areas Based on Accessibility by Public Transport: Beijing as a Case Study," Sustainability, MDPI, vol. 14(12), pages 1-13, June.
    11. Viniece Jennings & Lincoln Larson & Jessica Yun, 2016. "Advancing Sustainability through Urban Green Space: Cultural Ecosystem Services, Equity, and Social Determinants of Health," IJERPH, MDPI, vol. 13(2), pages 1-15, February.
    12. Miguel Lopes & Ana Camanho, 2013. "Public Green Space Use and Consequences on Urban Vitality: An Assessment of European Cities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 113(3), pages 751-767, September.
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