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Quality Evaluation of Park Green Space Based on Multi-Source Spatial Data in Shenyang

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  • Yiyang Guo

    (Department of Land Resources Management, School of Humanities and Law, Northeastern University, Shenyang 110169, China)

  • Guoping Lei

    (Department of Land Resources Management, School of Humanities and Law, Northeastern University, Shenyang 110169, China)

  • Luyang Zhang

    (School of Public Administration, Chongqing Technology and Business University, Chongqing 400067, China)

Abstract

Park green spaces serve as essential urban public recreation spaces and represent significant components of urban construction land. Investigating the quality of park green spaces is a vital requirement for the establishment of a high-quality urban living environment and the enhancement of land use efficiency. This study developed a quality evaluation index system for park green spaces in Shenyang, considering the constituent elements of recreational spaces. By categorizing 168 park spaces into four size grades and employing the entropy-TOPSIS method with multiple data sources, the research assessed and analyzed the generally quality of park green spaces in Shenyang. Additionally, the study analyzed factors limiting park green spaces and introduced the Recreational Quality Index (RQI) to represent the distribution of park green space resources within the study area. The results demonstrated that 46 low-quality park green spaces require urgent improvement, and the riverside area and the vicinity of the second ring road possess high-quality park green space resources. Barriers of the same scale in park green spaces exhibited similar characteristics. Park green spaces in Huanggu District were allocated recreational resources optimally. The analysis determined that system construction and deep cultural heritage are crucial factors. This study can offer a scientific basis and recommendations for the development of park green spaces and the enhancement of efficient urban land use.

Suggested Citation

  • Yiyang Guo & Guoping Lei & Luyang Zhang, 2023. "Quality Evaluation of Park Green Space Based on Multi-Source Spatial Data in Shenyang," Sustainability, MDPI, vol. 15(11), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8991-:d:1162623
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    References listed on IDEAS

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    1. Philip Stessens & Frank Canters & Marijke Huysmans & Ahmed Z. Khan, 2020. "Urban green space qualities: An integrated approach towards GIS-based assessment reflecting user perception," ULB Institutional Repository 2013/298795, ULB -- Universite Libre de Bruxelles.
    2. Stessens, Philip & Canters, Frank & Huysmans, Marijke & Khan, Ahmed Z., 2020. "Urban green space qualities: An integrated approach towards GIS-based assessment reflecting user perception," Land Use Policy, Elsevier, vol. 91(C).
    3. Yang Zhang & Agnes E. Van den Berg & Terry Van Dijk & Gerd Weitkamp, 2017. "Quality over Quantity: Contribution of Urban Green Space to Neighborhood Satisfaction," IJERPH, MDPI, vol. 14(5), pages 1-10, May.
    4. repec:mpr:mprres:4954 is not listed on IDEAS
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    Cited by:

    1. Bing Liu & Zixuan Liu & Libo Fang, 2025. "Innovative Approaches to Assessing Urban Space Quality: A Multi-Source Big Data Perspective on Knowledge Dynamics," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 6803-6841, June.

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