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ORIGINAL RESEARCH article

Front. Environ. Sci.

Sec. Social-Ecological Urban Systems

Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1661441

This article is part of the Research TopicBuilding Resilient Cities with Remote Sensing and AIView all articles

Identifying the dominant seasonal drivers of land surface temperature on Xiamen Island: an urban functional zone perspective

Provisionally accepted
  • Fujian Agriculture and Forestry University, Fuzhou, China

The final, formatted version of the article will be published soon.

Rapid global urbanization has reshaped urban morphology and intensified environmental challenges. With research on factors influencing land surface temperature (LST) in island cities being limited, we investigated seasonal variations in land surface temperature (LST) across four urban functional zones (UFZs) on Xiamen Island, China: residential blocks (RBs), public administration and public service blocks (PABs), commercial and business service blocks (CBSBs), and warehouse and storage blocks (WSBs). We used multiple stepwise regression to analyze 18 natural and anthropogenic factors for their seasonal effects on LST.Natural and anthropogenic factors influenced LST across all seasons. Their explanatory power was higher in spring and summer (R² > 0.6 for RBs and WSBs), but lower in winter across most UFZs (R² ≈0.22–0.46). For RBs, LST was primarily influenced by the Y coordinate, with higher temperatures in northern areas, and anthropogenic factors such as building density (BD) and population density (PD). In PABs, LST was mainly driven by the Y coordinate and PD. The Y coordinate, BD, floor area ratio, and PD influenced CBSBs, WSBs showed strong urban heat island effects, mainly driven by the Y coordinate and PD. Landscape diversity reduced these effects in warehouse blocks. These findings suggest that urban planning should adopt seasonally adaptive, land-use-specific strategies aligned with the thermal response characteristics of different UFZs to enhance heat mitigation and environmental quality.

Keywords: Land surface temperature, Urban functional zones, Driving factors, Seasonal variation, Multiple stepwise regression analysis

Received: 07 Jul 2025; Accepted: 16 Sep 2025.

Copyright: © 2025 Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Yaolu Xu, greenywind233@gmail.com

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