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<p>Advancing urbanization, which amplifies extreme heat waves and the urban heat island effect, poses unprecedented threats to urban residents. Against this backdrop, the concept of heat vulnerability has become increasingly prominent. This study constructs a heat vulnerability index (HVI) assessment framework in accordance with the IPCC guidelines, integrating the Local Climate Zone (LCZ) theory and Geographic Information Systems technology. First, we develop regional HVI maps for Shenzhen, China, then use Jenks optimization to categorize areas based on HVI values. We then explore strategies to reduce regional HVI from the LCZ perspective. The results show that variations in the proportions of different LCZ types are key contributors to regional HVI. Regional HVI ratings decrease significantly with a decrease in the proportion of built LCZs and an increase in the proportion of natural LCZs (vegetation and water bodies). According to the proposed optimization rules, by reducing the area of compact buildings (LCZ1-LCZ5, LCZ9, and LCZ10) in each HVI level, and increasing the area of buildings that are open and accommodate a large number of urban residents (LCZ6, LCZ7, and LCZ8), while greatly increasing the number of natural type LCZs such as LCZA, LCZB, LCZC, LCZG, and reducing the number of LCZD,LCZE, can effectively solve the heat vulnerability problems. Optimization achieves the following average HVI reductions across the different vulnerability classes: extremely high (10.13%), high (5.15%), medium (6.27%), low (5.93%), and very low (6.68%). This study provides a theoretical foundation for reducing urban heat emissions and enhancing human comfort in urban environments.</p>

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Reducing heat vulnerability in urban regions: a human settlement optimization approach in local climate zones

  • 期刊论文

  • 发表日期：

    2025年12月10日

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  • Y. Feng,
  • J. Yang,
  • Z. Li,
  • X. Kang,
  • Y. Zhang,
  • P. Xie,
  • Y. Wang,
  • X. Xiao

摘要

Advancing urbanization, which amplifies extreme heat waves and the urban heat island effect, poses unprecedented threats to urban residents. Against this backdrop, the concept of heat vulnerability has become increasingly prominent. This study constructs a heat vulnerability index (HVI) assessment framework in accordance with the IPCC guidelines, integrating the Local Climate Zone (LCZ) theory and Geographic Information Systems technology. First, we develop regional HVI maps for Shenzhen, China, then use Jenks optimization to categorize areas based on HVI values. We then explore strategies to reduce regional HVI from the LCZ perspective. The results show that variations in the proportions of different LCZ types are key contributors to regional HVI. Regional HVI ratings decrease significantly with a decrease in the proportion of built LCZs and an increase in the proportion of natural LCZs (vegetation and water bodies). According to the proposed optimization rules, by reducing the area of compact buildings (LCZ1-LCZ5, LCZ9, and LCZ10) in each HVI level, and increasing the area of buildings that are open and accommodate a large number of urban residents (LCZ6, LCZ7, and LCZ8), while greatly increasing the number of natural type LCZs such as LCZA, LCZB, LCZC, LCZG, and reducing the number of LCZD,LCZE, can effectively solve the heat vulnerability problems. Optimization achieves the following average HVI reductions across the different vulnerability classes: extremely high (10.13%), high (5.15%), medium (6.27%), low (5.93%), and very low (6.68%). This study provides a theoretical foundation for reducing urban heat emissions and enhancing human comfort in urban environments.