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Quantifying Urban Spatial Morphology Indicators on the Green Areas Cooling Effect: The Case of Changsha, China, a Subtropical City

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  • Jiang Li

    (School of Architecture and Art, Central South University, Changsha 410083, China
    Hunan Provincial Key Laboratory of Low Carbon Healthy Building, Central South University, Changsha 410083, China
    Key Laboratory of Ecology and Energy Saving Study of Dense Habitat, Ministry of Education, Shanghai 200092, China)

  • Hao Wang

    (School of Architecture and Art, Central South University, Changsha 410083, China
    Hunan Provincial Key Laboratory of Low Carbon Healthy Building, Central South University, Changsha 410083, China
    Key Laboratory of Ecology and Energy Saving Study of Dense Habitat, Ministry of Education, Shanghai 200092, China)

  • Xiaoxi Cai

    (School of Art and Design, Hunan First Normal University, Changsha 410205, China)

  • Shaobo Liu

    (School of Architecture and Art, Central South University, Changsha 410083, China
    Hunan Provincial Key Laboratory of Low Carbon Healthy Building, Central South University, Changsha 410083, China
    Key Laboratory of Ecology and Energy Saving Study of Dense Habitat, Ministry of Education, Shanghai 200092, China)

  • Wenbo Lai

    (School of Architecture, South China University of Technology, Guangzhou 510006, China)

  • Yating Chang

    (School of Architecture and Art, Central South University, Changsha 410083, China
    Hunan Provincial Key Laboratory of Low Carbon Healthy Building, Central South University, Changsha 410083, China
    Key Laboratory of Ecology and Energy Saving Study of Dense Habitat, Ministry of Education, Shanghai 200092, China)

  • Jialing Qi

    (School of Architecture and Art, Central South University, Changsha 410083, China
    Hunan Provincial Key Laboratory of Low Carbon Healthy Building, Central South University, Changsha 410083, China
    Key Laboratory of Ecology and Energy Saving Study of Dense Habitat, Ministry of Education, Shanghai 200092, China)

  • Gexuan Zhu

    (School of Architecture and Art, Central South University, Changsha 410083, China
    Hunan Provincial Key Laboratory of Low Carbon Healthy Building, Central South University, Changsha 410083, China
    Key Laboratory of Ecology and Energy Saving Study of Dense Habitat, Ministry of Education, Shanghai 200092, China)

  • Chuyu Zhang

    (School of Architecture and Art, Central South University, Changsha 410083, China
    Hunan Provincial Key Laboratory of Low Carbon Healthy Building, Central South University, Changsha 410083, China
    Key Laboratory of Ecology and Energy Saving Study of Dense Habitat, Ministry of Education, Shanghai 200092, China)

  • Yudan Liu

    (School of Architecture and Art, Central South University, Changsha 410083, China
    Hunan Provincial Key Laboratory of Low Carbon Healthy Building, Central South University, Changsha 410083, China
    Key Laboratory of Ecology and Energy Saving Study of Dense Habitat, Ministry of Education, Shanghai 200092, China)

Abstract

Green city areas are crucial in mitigating the Urban Heat Island Effect (UHI). However, the cooling effect of green city areas can be influenced by the surrounding complex urban spatial environment. This study focuses on Changsha, a subtropical city in China, where 40 green city areas were screened and analyzed. The study aims to quantify the specific impact of urban spatial morphology on the cooling effect of green city areas. Through statistical correlation and regression analysis, this study focused on six urban spatial morphology indicators: building density (BD), building floor area ratio (BFR), building volume density (BVD), building evenness index (BEI), building average height (BH), and building height standard deviation (BSD). The results indicate that the cooling effect of green city areas could be influenced by urban spatial morphology. Factors such as BD, BFR, BH, and BSD were found to be significantly correlated with the cooling effect of green city areas, with BH showing the strongest influence. BD and BFR were negatively correlated, while BH and BSD were positively correlated. The range values of BD, BFR, BH, and BSD were determined to achieve the optimal conditions for the cooling effect of green city areas. Additionally, the relative position of the green city areas in the neighboring urban areas affects the cooling effect of the green city areas. The cooling effect is most pronounced in the urban area situated to the south of the green city areas. These findings provide a solid foundation for urban planning around green city spaces and offer scientifically sound evidence for mitigating the UHI.

Suggested Citation

  • Jiang Li & Hao Wang & Xiaoxi Cai & Shaobo Liu & Wenbo Lai & Yating Chang & Jialing Qi & Gexuan Zhu & Chuyu Zhang & Yudan Liu, 2024. "Quantifying Urban Spatial Morphology Indicators on the Green Areas Cooling Effect: The Case of Changsha, China, a Subtropical City," Land, MDPI, vol. 13(6), pages 1-18, May.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:6:p:757-:d:1403717
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    References listed on IDEAS

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    3. Xinyi Qiu & Sung-Ho Kil & Hyun-Kil Jo & Chan Park & Wonkyong Song & Yun Eui Choi, 2023. "Cooling Effect of Urban Blue and Green Spaces: A Case Study of Changsha, China," IJERPH, MDPI, vol. 20(3), pages 1-14, February.
    4. Teresa Santos & Raquel Deus & Jorge Rocha & José António Tenedório, 2021. "Assessing Sustainable Urban Development Trends in a Dynamic Tourist Coastal Area Using 3D Spatial Indicators," Energies, MDPI, vol. 14(16), pages 1-22, August.
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