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<p>Urban landscape modifications are proposed as a potential solution to mitigate urban heat islands (UHIs). Previous research has explored the effects of planar and vertical urban landscape characteristics on land surface temperature (LST). However, these studies predominantly assume a yet-to-be-validated linearity in these effects, and overlook the multifaceted nature of these characteristics. As a result, the nuanced impact of urban landscapes and the accurate relative importance of planar versus vertical characteristics in shaping LST remain unclear. This study, focusing on Wuhan, China, investigates the nonlinear associations between planar and vertical urban landscapes and LST using random forest models. Our findings indicate that planar landscape characteristics contribute more significantly to LST variation than vertical characteristics (73% vs. 11%). Nevertheless, despite the seemingly small contribution of vertical characteristics, their impact is nearly equivalent to that of location characteristics (12%) and substantially surpasses that of socioeconomic factors (4%). Water area proportion, building density, greenspace proportion, and floor area ratio emerge as the most influential urban landscape characteristics. Moreover, our results reveal prevalent but distinct nonlinear relationships between urban landscapes and LST, identifying four patterns: L−/inverted-L- shape, stepwise-decline−/increase, inverted-U-shaped, and N-shaped patterns. Our research provides valuable insights into multidimensional urban planning strategies for effective UHI mitigation. Taking into account the revealed nonlinearity, we also propose planning strategies to address the complex challenges of regulating urban thermal environments.</p>

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Planar vs. Vertical Dominance? A Nonlinear Analysis of the Urban Landscape-Land Surface Temperature Nexus

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月15日

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  • Chaohui Yin,
  • Jinlong Yan,
  • Qian Wen,
  • Yang Zhang,
  • Zihao An,
  • Yueyang Wang

摘要

Urban landscape modifications are proposed as a potential solution to mitigate urban heat islands (UHIs). Previous research has explored the effects of planar and vertical urban landscape characteristics on land surface temperature (LST). However, these studies predominantly assume a yet-to-be-validated linearity in these effects, and overlook the multifaceted nature of these characteristics. As a result, the nuanced impact of urban landscapes and the accurate relative importance of planar versus vertical characteristics in shaping LST remain unclear. This study, focusing on Wuhan, China, investigates the nonlinear associations between planar and vertical urban landscapes and LST using random forest models. Our findings indicate that planar landscape characteristics contribute more significantly to LST variation than vertical characteristics (73% vs. 11%). Nevertheless, despite the seemingly small contribution of vertical characteristics, their impact is nearly equivalent to that of location characteristics (12%) and substantially surpasses that of socioeconomic factors (4%). Water area proportion, building density, greenspace proportion, and floor area ratio emerge as the most influential urban landscape characteristics. Moreover, our results reveal prevalent but distinct nonlinear relationships between urban landscapes and LST, identifying four patterns: L−/inverted-L- shape, stepwise-decline−/increase, inverted-U-shaped, and N-shaped patterns. Our research provides valuable insights into multidimensional urban planning strategies for effective UHI mitigation. Taking into account the revealed nonlinearity, we also propose planning strategies to address the complex challenges of regulating urban thermal environments.