IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i3p1533-d1856041.html

A Local Climate Zone-Based Seasonal Net-Benefit Assessment Model for the Urban Thermal Environment—A Case Study in a Cold-Region City

Author

Listed:
  • Ziteng Zhang

    (School of Architecture and Fine Art, Dalian University of Technology, Dalian 116024, China)

  • Fei Guo

    (School of Architecture and Fine Art, Dalian University of Technology, Dalian 116024, China)

  • Hongchi Zhang

    (School of Architecture and Fine Art, Dalian University of Technology, Dalian 116024, China)

  • Jing Dong

    (School of Architecture and Fine Art, Dalian University of Technology, Dalian 116024, China)

Abstract

The combined effects of urbanization and climate warming subject cold coastal cities to summer heatwaves and winter extreme cold, yet most studies emphasize built-environment modifications for summer overheating and lack evaluation methods and planning-oriented strategies to balance seasonal trade-offs. Using Dalian as a case study, we develop a seasonal net-benefit model that quantitatively characterizes and reconciles seasonally differentiated built-environment effects on land surface temperature (LST) and interprets urban heterogeneity within the Local Climate Zone (LCZ) framework. Summer LST is mainly governed by static factors such as greenspace configuration and topography, whereas winter LST is more sensitive to development intensity and locational factors, including building density and the Normalized Difference Built-up Index (NDBI). Coastal areas and mountainous green corridors are net-benefit zones performing well in both seasons, while dense industrial and compact low-rise areas account for ~80% of pronounced net-penalty zones. Compact mid- and high-rise neighborhoods show more favorable structural climatic conditions but with substantial retrofit potential (Retrofit Seasonal Net-Benefit Index (R-SNBI) markedly lower than Structural Seasonal Net-Benefit Index (S-SNBI) by ~3). Large low-rise problems mainly stem from an unfavorable structure rather than insufficient greenness, whereas industrial land has greater improvement potential via blue–green spaces. The framework supports refined climate adaptation, sustainability-oriented planning, and identifying urban renewal priority areas in cold-climate cities.

Suggested Citation

  • Ziteng Zhang & Fei Guo & Hongchi Zhang & Jing Dong, 2026. "A Local Climate Zone-Based Seasonal Net-Benefit Assessment Model for the Urban Thermal Environment—A Case Study in a Cold-Region City," Sustainability, MDPI, vol. 18(3), pages 1-25, February.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:3:p:1533-:d:1856041
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/3/1533/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/3/1533/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:gam:jsusta:v:18:y:2026:i:3:p:1533-:d:1856041. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.