IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i22p15964-d1280713.html
   My bibliography  Save this article

Spatiotemporal Dynamics of the Suitability for Ecological Livability of Green Spaces in the Central Yunnan Urban Agglomeration

Author

Listed:
  • Yue Pan

    (Faculty of Architecture and City Planning, Kunming University of Science and Technology, Kunming 650500, China
    College of Landscape Architecture and Horticulture Sciences, Southwest Forestry University, Kunming 650224, China)

  • Ying Wang

    (College of Landscape Architecture and Horticulture Sciences, Southwest Forestry University, Kunming 650224, China)

  • Yingxue Wang

    (College of Landscape Architecture and Horticulture Sciences, Southwest Forestry University, Kunming 650224, China)

  • Yanling Xie

    (Faculty of Architecture and City Planning, Kunming University of Science and Technology, Kunming 650500, China)

  • Junmei Dong

    (Faculty of Architecture and City Planning, Kunming University of Science and Technology, Kunming 650500, China)

  • Min Liu

    (Faculty of Architecture and City Planning, Kunming University of Science and Technology, Kunming 650500, China)

Abstract

Green spaces are an essential aspect of building an eco-livable city and play an important role in building for eco-livability in the central Yunnan urban agglomeration. However, there are relatively few studies evaluating the eco-livability of green spaces. The establishment of a green-space eco-livability assessment system may help researchers to analyze the eco-livability of urban green spaces more effectively. To address this research gap, we constructed an ecological livability-evaluation index system for green spaces that incorporates three determinants—economic development, social life, and the ecological environment—using the green spaces of the urban agglomeration in central Yunnan as a case study. We used the entropy method to calculate the suitability for ecological livability of the green spaces in each district and county in the central Yunnan urban agglomeration for 2010, 2015 and 2020. We used the spatial autocorrelation analysis function of ArcGIS 10.8 software to explore the spatial clustering characteristics of the suitability for ecological livability of green spaces in the central Yunnan urban agglomeration. The results showed that, from 2010 to 2020, the suitability for ecological livability of green spaces of the 49 districts and counties in the central Yunnan urban agglomeration increased in some districts and decreased in others. The spatial characteristics were high in the central districts and counties and low in the peripheral districts and counties. The spatial characteristics of the suitability of the target layers for economic development and ecological-environment target were consistent with the overall suitability. Through a spatial autocorrelation analysis, we observed that the suitability of green spaces for ecological livability had a positive spatial correlation and demonstrated significant spatial clustering. In this study, we propose recommendations to improve the suitability for ecological livability of green spaces from two dimensions of government policy and urban development, using a combination of the three target layers. The results of the study provide a reference for decision-making in the construction of eco-livable cities in the central Yunnan urban agglomeration.

Suggested Citation

  • Yue Pan & Ying Wang & Yingxue Wang & Yanling Xie & Junmei Dong & Min Liu, 2023. "Spatiotemporal Dynamics of the Suitability for Ecological Livability of Green Spaces in the Central Yunnan Urban Agglomeration," Sustainability, MDPI, vol. 15(22), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:15964-:d:1280713
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/22/15964/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/22/15964/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhou, Bing-Bing & Aggarwal, Rimjhim & Wu, Jianguo & Lv, Ligang, 2021. "Urbanization-associated farmland loss: A macro-micro comparative study in China," Land Use Policy, Elsevier, vol. 101(C).
    2. Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," Economies, MDPI, vol. 9(4), pages 1-17, October.
    3. A. Zanella & A. Camanho & T. Dias, 2015. "The assessment of cities’ livability integrating human wellbeing and environmental impact," Annals of Operations Research, Springer, vol. 226(1), pages 695-726, March.
    4. Tonglin Zhang & Ge Lin, 2008. "Identification of local clusters for count data: a model-based Moran's I test," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(3), pages 293-306.
    5. Zengzeng Fan & Yuanyang Wang & Yanchao Feng, 2021. "Ecological Livability Assessment of Urban Agglomerations in Guangdong-Hong Kong-Macao Greater Bay Area," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
    6. Chun Fu & Huimin Zhang, 2023. "Evaluation of Urban Ecological Livability from a Synergistic Perspective: A Case Study of Beijing City, China," Sustainability, MDPI, vol. 15(13), pages 1-21, July.
    7. Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator," Working Papers 2021.21, Fondazione Eni Enrico Mattei.
    8. M. Saisana & A. Saltelli & S. Tarantola, 2005. "Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 307-323, March.
    9. Gatto, Andrea & Drago, Carlo, 2020. "Measuring and modeling energy resilience," Ecological Economics, Elsevier, vol. 172(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. Drago, Carlo & Gatto, Andrea, 2022. "Policy, regulation effectiveness, and sustainability in the energy sector: A worldwide interval-based composite indicator," Energy Policy, Elsevier, vol. 167(C).
    2. Carlo Drago & Andrea Gatto, 2022. "An interval‐valued composite indicator for energy efficiency and green entrepreneurship," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2107-2126, July.
    3. Drago, Carlo & Di Nallo, Loris & Russotto, Maria Lucetta, 2023. "Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators," FEEM Working Papers 336986, Fondazione Eni Enrico Mattei (FEEM).
    4. Drago, Carlo, 2021. "Interval-Based Composite Indicators with a Triplex Representation: A Measure of the Potential Demand for the "Ristori" Decree in Italy," MPRA Paper 106904, University Library of Munich, Germany.
    5. Pilar Murias & Beatriz Valcárcel-Aguiar & Rosa María Regueiro-Ferreira, 2020. "A Territorial Estimate for Household Energy Vulnerability: An Application for Spain," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    6. Marek Walesiak & Grażyna Dehnel, 2023. "A Measurement of Social Cohesion in Poland’s NUTS2 Regions in the Period 2010–2019 by Applying Dynamic Relative Taxonomy to Interval-Valued Data," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    7. Yizhong Huan & Lingqing Wang & Mark Burgman & Haitao Li & Yurong Yu & Jianpeng Zhang & Tao Liang, 2022. "A multi‐perspective composite assessment framework for prioritizing targets of sustainable development goals," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 833-847, October.
    8. Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," Economies, MDPI, vol. 9(4), pages 1-17, October.
    9. Céline Diebold, 2022. "How Meaningful is the Elite Quality Index Ranking?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 137-170, August.
    10. Drago, Carlo & Gatto, Andrea, 2023. "Gauging energy poverty in developing countries with a composite metric of electricity access," Utilities Policy, Elsevier, vol. 81(C).
    11. Matheus Pereira Libório & Alexandre Magno Alves Diniz & Hamidreza Rabiei-Dastjerd & Oseias da Silva Martinuci & Carlos Augusto Paiva da Silva Martins & Petr Iakovlevitch Ekel, 2023. "A Decision Framework for Identifying Methods to Construct Stable Composite Indicators That Capture the Concept of Multidimensional Social Phenomena: The Case of Social Exclusion," Sustainability, MDPI, vol. 15(7), pages 1-17, April.
    12. Xiaoning Li & Lingling Li, 2021. "Evaluation of China’s Targeted Poverty Alleviation Policies: A Decomposition Analysis Based on the Poverty Reduction Effects," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    13. Matthias Firgo & Fabian Gabelberger & Andreas Reinstaller & Yvonne Wolfmayr, 2024. "Assessing Regional Production Potential to Strengthen the Security of Supply in Strategic Products," WIFO Working Papers 670, WIFO.
    14. Andrea Saltelli, 2007. "Composite Indicators between Analysis and Advocacy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 81(1), pages 65-77, March.
    15. Rajko Tomaš, 2022. "Measurement of the Concentration of Potential Quality of Life in Local Communities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 79-109, August.
    16. Aleksandra Maksimovska & Aleksandar Stojkov, 2019. "Composite Indicator of Social Responsiveness of Local Governments: An Empirical Mapping of the Networked Community Governance Paradigm," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 669-706, July.
    17. Cherchye, Laurens & Knox Lovell, C.A. & Moesen, Wim & Van Puyenbroeck, Tom, 2007. "One market, one number? A composite indicator assessment of EU internal market dynamics," European Economic Review, Elsevier, vol. 51(3), pages 749-779, April.
    18. Qingsong He & Miao Yan & Linzi Zheng & Bo Wang & Jiang Zhou, 2023. "The Effect of Urban Form on Urban Shrinkage—A Study of 293 Chinese Cities Using Geodetector," Land, MDPI, vol. 12(4), pages 1-17, March.
    19. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    20. Faure, Corinne & Guetlein, Marie-Charlotte & Schleich, Joachim & Tu, Gengyang & Whitmarsh, Lorraine & Whittle, Colin, 2022. "Household acceptability of energy efficiency policies in the European Union: Policy characteristics trade-offs and the role of trust in government and environmental identity," Ecological Economics, Elsevier, vol. 192(C).

    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:jsusta:v:15:y:2023:i:22:p:15964-:d:1280713. 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.