IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2022i1p82-d1016289.html
   My bibliography  Save this article

Coupling Coordination between Park Green Space (PGS) and Socioeconomic Deprivation (SED) in High-Density City Based on Multi-Scale: From Environmental Justice Perspective

Author

Listed:
  • Shuyu Huang

    (School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China)

  • Chunxiao Wang

    (School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
    Shenzhen Key Laboratory for Optimizing Design of Built Environment, Shenzhen 518060, China)

  • Mengting Deng

    (School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China)

  • Yuxi Chen

    (School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China)

Abstract

Several studies have revealed that park green space (PGS) plays a crucial role in improving residents’ quality of life and promoting sustainable development of the environment. However, rapid urbanization and population growth have led to an inequitable supply and demand for PGS, especially in high-density cities, which has been widely recognized as an important environmental justice issue. However, few studies have evaluated the equity and sustainability of PGS in high-density cities based on multi-scale. This study developed a framework to explore the spatial equity of PGS and its coupling coordination degree (CCD) with socioeconomic deprivation (SED) based on a multi-scale approach (pocket park, community park, and comprehensive park), then analyzed the spatial correlation between PGS and CCD. The results showed that: (1) The overall supply of 3-scale PGS does not meet residents’ demand for PGS resources in the study area and the urban center has the highest demand for PGS. (2) Among the three-scale PGS, the comprehensive PGS has the strongest supply capacity, but it also has the most severe supply–demand mismatch. (3) Although the service radius of pocket PGS is smaller than that of community PGS, the supply of pocket PGS is higher. (4) More than 95% of the studied area lacks coordination between PGS and SED development. (5) The subsystem that has the greatest spatial correlation with CCD in pocket PGS and comprehensive PGS was the number of configurations, while that in community PGS was the spatial arrangement. This study not only provides a theoretical reference for conducting research on PGS equity in high-density cities, but also provides a novel perspective on the sustainable, coordinated development and planning of urban PGS system.

Suggested Citation

  • Shuyu Huang & Chunxiao Wang & Mengting Deng & Yuxi Chen, 2022. "Coupling Coordination between Park Green Space (PGS) and Socioeconomic Deprivation (SED) in High-Density City Based on Multi-Scale: From Environmental Justice Perspective," Land, MDPI, vol. 12(1), pages 1-20, December.
    • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:82-:d:1016289
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/1/82/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/1/82/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cheung, Ming & Fan, Jor, 2013. "Carbon reduction in a high-density city: A case study of Langham Place Hotel Mongkok Hong Kong," Renewable Energy, Elsevier, vol. 50(C), pages 433-440.
    2. Zhang, Qian & Shen, Juqin & Sun, Fuhua, 2021. "Spatiotemporal differentiation of coupling coordination degree between economic development and water environment and its influencing factors using GWR in China's province," Ecological Modelling, Elsevier, vol. 462(C).
    3. Siddique, Sumaiya & Uddin, Md. Mahin, 2022. "Green space dynamics in response to rapid urbanization: Patterns, transformations and topographic influence in Chattogram city, Bangladesh," Land Use Policy, Elsevier, vol. 114(C).
    4. Zhang, Xun & Wan, Guanghua & Luo, Zhi & Wang, Chen, 2019. "Explaining the East Asia miracle: The role of urbanization," Economic Systems, Elsevier, vol. 43(2), pages 1-1.
    5. Elaine Hoffimann & Henrique Barros & Ana Isabel Ribeiro, 2017. "Socioeconomic Inequalities in Green Space Quality and Accessibility—Evidence from a Southern European City," IJERPH, MDPI, vol. 14(8), pages 1-16, August.
    6. Gollini, Isabella & Lu, Binbin & Charlton, Martin & Brunsdon, Christopher & Harris, Paul, 2015. "GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i17).
    7. Sainan Du & Huagui He & Yanfang Liu & Lijun Xing, 2022. "Identifying Key Factors Associated with Green Justice in Accessibility: A Gradient Boosting Decision Tree Analysis," IJERPH, MDPI, vol. 19(16), pages 1-17, August.
    8. Shujin Zhang & Peiheng Yu & Yiyun Chen & Ying Jing & Fanxin Zeng, 2022. "Accessibility of Park Green Space in Wuhan, China: Implications for Spatial Equity in the Post-COVID-19 Era," IJERPH, MDPI, vol. 19(9), pages 1-20, April.
    9. Tang, Feng & Wang, Li & Guo, Yiqiang & Fu, Meichen & Huang, Ni & Duan, Wensheng & Luo, Ming & Zhang, Jianjun & Li, Wang & Song, Wei, 2022. "Spatio-temporal variation and coupling coordination relationship between urbanisation and habitat quality in the Grand Canal, China," Land Use Policy, Elsevier, vol. 117(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yaoyao Zhu & Gabriel Hoh Teck Ling, 2022. "A Systematic Review of Morphological Transformation of Urban Open Spaces: Drivers, Trends, and Methods," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    2. Vassiliades, C. & Savvides, A. & Buonomano, A., 2022. "Building integration of active solar energy systems for façades renovation in the urban fabric: Effects on the thermal comfort in outdoor public spaces in Naples and Thessaloniki," Renewable Energy, Elsevier, vol. 190(C), pages 30-47.
    3. Gainbi Park & Zengwang Xu, 2022. "The constituent components and local indicator variables of social vulnerability index," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(1), pages 95-120, January.
    4. Zaijun Li & Jianquan Cheng & Qiyan Wu, 2016. "Analyzing regional economic development patterns in a fast developing province of China through geographically weighted principal component analysis," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 233-245, October.
    5. Andréia S. Santos & Lucas Teles Faria & Mara Lúcia M. Lopes & Carlos R. Minussi, 2023. "Power Distribution Systems’ Vulnerability by Regions Caused by Electrical Discharges," Energies, MDPI, vol. 16(23), pages 1-19, November.
    6. Kirtonia, Sajeeb & Sun, Yanshuo, 2022. "Evaluating rail transit's comparative advantages in travel cost and time over taxi with open data in two U.S. cities," Transport Policy, Elsevier, vol. 115(C), pages 75-87.
    7. Mengzhi Zou & Changyou Li & Yanni Xiong, 2022. "Analysis of Coupling Coordination Relationship between the Accessibility and Economic Linkage of a High-Speed Railway Network Case Study in Hunan, China," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    8. Alexis Comber & Paul Harris, 2018. "Geographically weighted elastic net logistic regression," Journal of Geographical Systems, Springer, vol. 20(4), pages 317-341, October.
    9. Shirelle H. Hallum & Marilyn E. Wende & Farnaz Hesam Shariati & Kelsey M. Thomas & Anna L. Chupak & Eleanor Witherspoon & Andrew T. Kaczynski, 2024. "Unearthing Inequities in the Relationship between Multiple Sociodemographic Factors and Diverse Elements of Park Availability and Quality in a Major Southern Metropolitan Region," IJERPH, MDPI, vol. 21(2), pages 1-19, February.
    10. Yigong Hu & Binbin Lu & Yong Ge & Guanpeng Dong, 2022. "Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression," Environment and Planning B, , vol. 49(6), pages 1715-1740, July.
    11. Jinxin Sun & Mei Han & Fanbiao Kong & Fan Wei & Xianglun Kong, 2023. "Spatiotemporal Analysis of the Coupling Relationship between Habitat Quality and Urbanization in the Lower Yellow River," IJERPH, MDPI, vol. 20(6), pages 1-16, March.
    12. Gianfranco Piras & Mauricio Sarrias, 2023. "Heterogeneous spatial models in R: spatial regimes models," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-32, December.
    13. Yichao He & Anna Jorgensen & Qian Sun & Amy Corcoran & Maria Jesus Alfaro-Simmonds, 2022. "Negotiating Complexity: Challenges to Implementing Community-Led Nature-Based Solutions in England Pre- and Post-COVID-19," IJERPH, MDPI, vol. 19(22), pages 1-19, November.
    14. Yanming Ren & Zongyao Huang & Lingling Zhou & Peng Xiao & Junwei Song & Ping He & Chuanxing Xie & Ran Zhou & Menghan Li & Xiangqun Dong & Qing Mao & Chao You & Jianguo Xu & Yanhui Liu & Zhigang Lan & , 2023. "Spatial transcriptomics reveals niche-specific enrichment and vulnerabilities of radial glial stem-like cells in malignant gliomas," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    15. Razieh Zandieh & Javier Martinez & Johannes Flacke, 2019. "Older Adults’ Outdoor Walking and Inequalities in Neighbourhood Green Spaces Characteristics," IJERPH, MDPI, vol. 16(22), pages 1-18, November.
    16. Brenda B. Lin & Susan Thompson & Richard Mitchell & Thomas Astell-Burt & Evelyne De Leeuw & Bin Jalaludin & Xiaoqi Feng, 2023. "Policymaker and Practitioner Perceptions of Parks for Health and Wellbeing: Scoping a Holistic Approach," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    17. Fabio Humberto Sepúlveda Murillo & Jorge Chica Olmo & Norely Margarita Soto Builes, 2019. "Spatial Variability Analysis of Quality of Life and Its Determinants: A Case Study of Medellín, Colombia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1233-1256, August.
    18. Minghai Luo & Sixian Qin & Haoxue Chang & Anqi Zhang, 2019. "Disaggregation Method of Carbon Emission: A Case Study in Wuhan, China," Sustainability, MDPI, vol. 11(7), pages 1-17, April.
    19. Xindong He & Linhong Wu & Guoqiang Shen & Xingfan Peng & Lei Huang, 2023. "A Spatiotemporal Analysis of Ecological–Economic Coupling Coordination in the Chengdu–Chongqing Urban Agglomeration," Land, MDPI, vol. 12(7), pages 1-20, July.
    20. Zelin Zhang & Xiaomin Tang & Yun Wang, 2023. "Evaluation of the Intergenerational Equity of Public Open Space in Old Communities: A Case Study of Caoyang New Village in Shanghai," Land, MDPI, vol. 12(7), pages 1-26, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:82-:d:1016289. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.