IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0260205.html

Relationship between urban morphology and land surface temperature—A case study of Nanjing City

Author

Listed:
  • Shusheng Yin
  • Jiatong Liu
  • Zenglin Han

Abstract

This study investigated the relationship between urban form and land surface temperature (LST) using the Multi-access Geographically Weighted Regression (MGWR) model. A case study on Nanjing City was conducted using building data, point-of-interest (POI) data, land use data, remote sensing data, and elevation data. The results show that the MGWR model can reveal the influence of altitude, urban green space, road, building height (BH), building density (BD) and POI on LST, with a superior fitting effect over the geographically weighted regression model. LST in Nanjing exhibits a significant spatial differentiation, and the distribution of LST hotspots is spatially consistent with the level of urban construction. In terms of the two-dimensional landscape pattern, LST decreases with altitude and increases with POI. In terms of the three-dimensional structure, building height has a positive correlation with LST. POI, urban roads, and urban buildings positively affect LST, while urban green space and altitude negatively affect LST. The results of this study were verified against existing findings. The LST of areas with high-rise and super high-rise buildings is lower than that of areas with mid-rise building, which can be attributed to the large number of shadow areas formed by high-rise and super high-rise buildings. A similar phenomenon was also observed between areas with medium- and high-density buildings. These findings provide a reference for urban architecture planning and can help to develop urban heat island adaptation strategies based on local conditions.

Suggested Citation

  • Shusheng Yin & Jiatong Liu & Zenglin Han, 2022. "Relationship between urban morphology and land surface temperature—A case study of Nanjing City," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-17, February.
    • Handle: RePEc:plo:pone00:0260205
    DOI: 10.1371/journal.pone.0260205
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0260205
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0260205&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0260205?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yunfei Li & Sebastian Schubert & Jürgen P. Kropp & Diego Rybski, 2020. "On the influence of density and morphology on the Urban Heat Island intensity," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adiwan F. Aritenang, 2025. "Does fiscal decentralization increase urban temperature? The case of Indonesian metropolitans," Asia-Pacific Journal of Regional Science, Springer, vol. 9(4), pages 955-973, December.

    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. Helbling, Marc & Rybski, Diego & Schewe, Jacob & Siedentop, Stefan & Glockmann, Manon & Heider, Bastian & Jones, Bryan & Meierrieks, Daniel & Rikani, Albano & Stroms, Peter, 2023. "Measuring the effect of climate change on migration flows: Limitations of existing data and analytical frameworks," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(1), pages 1-10.
    2. 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.
    3. Hua Shi & George Xian & Roger Auch & Kevin Gallo & Qiang Zhou, 2021. "Urban Heat Island and Its Regional Impacts Using Remotely Sensed Thermal Data—A Review of Recent Developments and Methodology," Land, MDPI, vol. 10(8), pages 1-30, August.
    4. Salesse, Camille, 2026. "Who suffers the heat? Partial adaptation and persistent inequalities in France," Ecological Economics, Elsevier, vol. 241(C).
    5. Alessia Calafiore & Krasen Samardzhiev & Francisco Rowe & Martin Fleischmann & Daniel Arribas-Bel, 2024. "Inequalities in experiencing urban functions. An exploration of human digital (geo-)footprints," Environment and Planning B, , vol. 51(7), pages 1463-1477, September.
    6. Chiatti, Chiara & Fabiani, Claudia & Bondi, Roberto & Zampini, Giulia & Latterini, Loredana & Pisello, Anna Laura, 2023. "Controlled combination of phosphorescent and fluorescent materials to exploit energy-saving potential in the built environment," Energy, Elsevier, vol. 275(C).
    7. Kailin Shang & Linfeng Xu & Xuan Liu & Zhengtong Yin & Zhixin Liu & Xiaolu Li & Lirong Yin & Wenfeng Zheng, 2023. "Study of Urban Heat Island Effect in Hangzhou Metropolitan Area Based on SW-TES Algorithm and Image Dichotomous Model," SAGE Open, , vol. 13(4), pages 21582440231, November.
    8. Yang Zhang & Chao Zhang & Kun Yang & Zongqi Peng & Linfeng Tang & Haimei Duan & Changhao Wu & Yi Luo, 2022. "Temporal and Spatial Effects of Urbanization on Regional Thermal Comfort," Land, MDPI, vol. 11(5), pages 1-19, May.
    9. Jing Kong & Yongling Zhao & Jan Carmeliet & Chengwang Lei, 2021. "Urban Heat Island and Its Interaction with Heatwaves: A Review of Studies on Mesoscale," Sustainability, MDPI, vol. 13(19), pages 1-26, September.
    10. Runfei Zhong & Song Song & Jianxin Zhang & Ziqiang Ye, 2024. "Spatial–temporal variation and temperature effect of urbanization in Guangdong Province from 1951 to 2018," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(4), pages 9661-9683, April.
    11. Ribeiro, Fabiano L. & Li, Yunfei & Born, Stefan & Rybski, Diego, 2024. "Analytical solution for the long- and short-range every-pair-interactions system," Chaos, Solitons & Fractals, Elsevier, vol. 183(C).
    12. Magalie Técher & Hassan Ait Haddou & Rahim Aguejdad, 2023. "Urban Heat Island’s Vulnerability Assessment by Integrating Urban Planning Policies: A Case Study of Montpellier Méditerranée Metropolitan Area, France," Sustainability, MDPI, vol. 15(3), pages 1-26, January.
    13. Zhou, Jingfeng & Li, Jiantong & Xie, Jiayu & Dong, Xinqiao & Wang, Kaixuan & Jing, Rui & Tang, Rui & Wang, Meng, 2025. "State-of-the-art review of urban building energy modelling on supporting sustainable development goals," Applied Energy, Elsevier, vol. 402(PA).
    14. Zhang, Hongjie & Yao, Runming & Luo, Qing & Wang, Wenbo, 2022. "A mathematical model for a rapid calculation of the urban canyon albedo and its applications," Renewable Energy, Elsevier, vol. 197(C), pages 836-851.
    15. Wei Dong & Jinxiu Wu & Yanxiang Yang & Shuyu Shen, 2025. "Investigating the Spatiotemporal Dynamics of Campus Surface Heat Island with High-Resolution Thermal Infrared Imaging," Land, MDPI, vol. 14(6), pages 1-29, May.
    16. Qi Fu & Mengfan Gao & Yue Wang & Tinghui Wang & Xu Bi & Jinhua Chen, 2022. "Spatiotemporal Patterns and Drivers of the Carbon Budget in the Yangtze River Delta Region, China," Land, MDPI, vol. 11(8), pages 1-18, August.
    17. Zidong Zhao & Ruhai Ye & Yingyin Wang & Yiming Tao, 2022. "How Plot Spatial Morphology Drives Surface Thermal Environment: A Spatial and Temporal Analysis of Nanjing Main City," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    18. João Monteiro & Nuno Sousa & João Coutinho-Rodrigues & Eduardo Natividade-Jesus, 2024. "Challenges Ahead for Sustainable Cities: An Urban Form and Transport System Review," Energies, MDPI, vol. 17(2), pages 1-26, January.
    19. Taiyun Xia & Liwei Zhang & Yu Zou, 2025. "Mismatch Between Heat Exposure Risk and Blue-Green Exposure in Wuhan: A Coupled Spatial Analysis," Sustainability, MDPI, vol. 17(18), pages 1-17, September.
    20. Jeemin Youn & Hyungkyoo Kim & Jaekyung Lee, 2023. "Relationships between Thermal Environment and Air Pollution of Seoul’s 25 Districts Using Vector Autoregressive Granger Causality," Sustainability, MDPI, vol. 15(23), pages 1-22, November.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0260205. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.