IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2024i1p241-d1558092.html
   My bibliography  Save this article

The Impact of Building and Green Space Combination on Urban Thermal Environment Based on Three-Dimensional Landscape Index

Author

Listed:
  • Ying Wang

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yin Ren

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

  • Xiaoman Zheng

    (School of Information Engineering, Sanming University, Sanming 365004, China)

  • Zhifeng Wu

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

Abstract

Urbanization transforms landscapes from natural ecosystems to configurations of impervious surfaces and green spaces, leading to urban heat island effects that impact health and ecosystem sustainability. This study in Xiamen City, China, categorizes urban areas into functional zones, employs Random Forest and Stepwise Regression models to assess thermal differences, and proposes optimization measures for the building–green space landscape. The optimization involves altering the characterization of the building–green space landscape pattern. Results indicate: (1) due to the spatial heterogeneity of the building–green space landscape pattern in different functional zones, the surface temperature also shows strong spatial heterogeneity in different functional zones; (2) different optimization measures for the building–green space pattern are needed for different functional zones; taking the urban residential zone as an example, the Normalized Difference Vegetation Index (NDVI) in the hot spot area can be adjusted according to the value range of the cold spot area; (3) considering the solar radiation process, Sun View Factor (S un VF) plays an important role in indicating the change in surface temperature in the commercial service area, and as S un VF increases, the surface temperature of the functional zone tends to rise. This research offers insights into urban thermal environment improvement and landscape pattern optimization.

Suggested Citation

  • Ying Wang & Yin Ren & Xiaoman Zheng & Zhifeng Wu, 2024. "The Impact of Building and Green Space Combination on Urban Thermal Environment Based on Three-Dimensional Landscape Index," Sustainability, MDPI, vol. 17(1), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:17:y:2024:i:1:p:241-:d:1558092
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/1/241/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/1/241/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cansu Güller & Süleyman Toy, 2024. "The Impacts of Urban Morphology on Urban Heat Islands in Housing Areas: The Case of Erzurum, Turkey," Sustainability, MDPI, vol. 16(2), pages 1-21, January.
    2. Hefeng Wang & Yishao Shi & Anbing Zhang & Yuan Cao & Haixin Liu, 2017. "Does Suburbanization Cause Ecological Deterioration? An Empirical Analysis of Shanghai, China," Sustainability, MDPI, vol. 9(1), pages 1-17, January.
    3. Li, Xiaoma & Zhou, Yuyu & Yu, Sha & Jia, Gensuo & Li, Huidong & Li, Wenliang, 2019. "Urban heat island impacts on building energy consumption: A review of approaches and findings," Energy, Elsevier, vol. 174(C), pages 407-419.
    4. Arijit Das & Priyakshi Saha & Rajarshi Dasgupta & Miguel Inacio & Manob Das & Paulo Pereira, 2024. "How Do the Dynamics of Urbanization Affect the Thermal Environment? A Case from an Urban Agglomeration in Lower Gangetic Plain (India)," Sustainability, MDPI, vol. 16(3), pages 1-16, January.
    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. Gao, Datong & Zhao, Bin & Kwan, Trevor Hocksun & Hao, Yong & Pei, Gang, 2022. "The spatial and temporal mismatch phenomenon in solar space heating applications: status and solutions," Applied Energy, Elsevier, vol. 321(C).
    2. Zhikun Ding & Rongsheng Liu & Zongjie Li & Cheng Fan, 2020. "A Thematic Network-Based Methodology for the Research Trend Identification in Building Energy Management," Energies, MDPI, vol. 13(18), pages 1-33, September.
    3. Gabriele Battista & Emanuele de Lieto Vollaro & Andrea Vallati & Roberto de Lieto Vollaro, 2023. "Technical–Financial Feasibility Study of a Micro-Cogeneration System in the Buildings in Italy," Energies, MDPI, vol. 16(14), pages 1-15, July.
    4. Sánchez-Guevara Sánchez, Carmen & Sanz Fernández, Ana & Núñez Peiró, Miguel & Gómez Muñoz, Gloria, 2020. "Energy poverty in Madrid: Data exploitation at the city and district level," Energy Policy, Elsevier, vol. 144(C).
    5. Shi, Luyang & Luo, Zhiwen & Matthews, Wendy & Wang, Zixuan & Li, Yuguo & Liu, Jing, 2019. "Impacts of urban microclimate on summertime sensible and latent energy demand for cooling in residential buildings of Hong Kong," Energy, Elsevier, vol. 189(C).
    6. Samuelson, Holly W. & Baniassadi, Amir & Gonzalez, Pablo Izaga, 2020. "Beyond energy savings: Investigating the co-benefits of heat resilient architecture," Energy, Elsevier, vol. 204(C).
    7. Coyne, Bryan & Denny, Eleanor, 2021. "Retrofit effectiveness: Evidence from a nationwide residential energy efficiency programme," Energy Policy, Elsevier, vol. 159(C).
    8. George M. Stavrakakis & Dimitris Al. Katsaprakakis & Markos Damasiotis, 2021. "Basic Principles, Most Common Computational Tools, and Capabilities for Building Energy and Urban Microclimate Simulations," Energies, MDPI, vol. 14(20), pages 1-41, October.
    9. Meng, Fanchao & Zhang, Lei & Ren, Guoyu & Zhang, Ruixue, 2023. "Impacts of UHI on variations in cooling loads in buildings during heatwaves: A case study of Beijing and Tianjin, China," Energy, Elsevier, vol. 273(C).
    10. Myungjin Kim & Li Wang & Yuyu Zhou, 2021. "Spatially Varying Coefficient Models with Sign Preservation of the Coefficient Functions," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(3), pages 367-386, September.
    11. Pigliautile, I. & Pisello, A.L. & Bou-Zeid, E., 2020. "Humans in the city: Representing outdoor thermal comfort in urban canopy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    12. Tian, Xiaoyu & Zhang, Hanwen & Liu, Lin & Huang, Jiahao & Liu, Liru & Liu, Jing, 2024. "Establishment of LCZ-based urban building energy consumption dataset in hot and humid subtropical regions through a bottom-up method," Applied Energy, Elsevier, vol. 368(C).
    13. Gabriele Battista & Emanuele de Lieto Vollaro & Luca Evangelisti & Roberto de Lieto Vollaro, 2022. "Urban Overheating Mitigation Strategies Opportunities: A Case Study of a Square in Rome (Italy)," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    14. Long Pei & Patrick Schalbart & Bruno Peuportier, 2023. "Quantitative Evaluation of the Effects of Heat Island on Building Energy Simulation: A Case Study in Wuhan, China," Energies, MDPI, vol. 16(7), pages 1-23, March.
    15. Jia, Qi & Zhu, Yian & Zhang, Tiantian & Li, Shuling & Han, Dongliang & Feng, Qi & Tan, Yufei & Li, Baochang, 2024. "Urban microclimate differences in continental zone of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    16. Rakin Abrar & Showmitra Kumar Sarkar & Kashfia Tasnim Nishtha & Swapan Talukdar & Shahfahad & Atiqur Rahman & Abu Reza Md Towfiqul Islam & Amir Mosavi, 2022. "Assessing the Spatial Mapping of Heat Vulnerability under Urban Heat Island (UHI) Effect in the Dhaka Metropolitan Area," Sustainability, MDPI, vol. 14(9), pages 1-24, April.
    17. Xie, Xiaoxiong & Sahin, Ozge & Luo, Zhiwen & Yao, Runming, 2020. "Impact of neighbourhood-scale climate characteristics on building heating demand and night ventilation cooling potential," Renewable Energy, Elsevier, vol. 150(C), pages 943-956.
    18. Yuanzheng Li & Wenjing Wang & Yating Wang & Yashu Xin & Tian He & Guosong Zhao, 2020. "A Review of Studies Involving the Effects of Climate Change on the Energy Consumption for Building Heating and Cooling," IJERPH, MDPI, vol. 18(1), pages 1-18, December.
    19. Chris Boulton & Claudia Baldwin & Tony Matthews & Silvia Tavares, 2023. "Environmental Design for Urban Cooling, Access, and Safety: A Novel Approach to Auditing Outdoor Areas in Residential Aged Care Facilities," Land, MDPI, vol. 12(2), pages 1-22, February.
    20. Boccalatte, A. & Fossa, M. & Ménézo, C., 2020. "Best arrangement of BIPV surfaces for future NZEB districts while considering urban heat island effects and the reduction of reflected radiation from solar façades," Renewable Energy, Elsevier, vol. 160(C), pages 686-697.

    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:17:y:2024:i:1:p:241-:d:1558092. 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.