This study explores the spatial evolution and driving factors of cooling supply and demand matching in blue-green spaces (BGSs) to alleviate urban heat island effects. Using Wuhan Metropolis as a case study, the cooling supply index (CSI) and cooling demand index (CDI) were utilized to assess the BGSs' cooling supply capacity and demand levels in 2014, 2018 and 2022. The relationship between them was then examined applying spatial gradient analysis and constraint effect analysis. Subsequently, the coupled coordination degree (CCD) of cooling supply-demand and its built environment-driven explanatory power was investigated. Ultimately, areas with supply-demand mismatches were identified, and tailored cooling strategies were devised to rectify these discrepancies. The results indicated that: (1) Wuhan Metropolis experienced a decline in BGSs' cooling supply capacity and an increase in cooling demand level between 2014 and 2022. (2) There is a significant correlation between the cooling supply capacity and demand level of BGSs in Wuhan Metropolis, with a spatial gradient effect and a constraint effect (CSI values = 0–0.2). (3) The CCD of cooling supply-demand in Wuhan Metropolis decreased from 2014 to 2022, with building density being the dominant built environment factors (q-value = 0.83–0.86). (4) The number of mismatched cooling supply-demand units significantly increased in Wuhan Metropolis from 2014 to 2022, indicating an imperative need to alleviate urban high temperatures. To address this issue, the study proposes a mismatch mechanism-based regulatory strategy aimed at mitigating the heat from residential, transportation, and industrial areas.

中文翻译：

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探索武汉都市蓝绿空间降温的供需匹配及驱动因素


本研究探讨了蓝绿空间 （BGS） 供需匹配的空间演变和驱动因素，以缓解城市热岛效应。以武汉大都会为案例研究，采用制冷供应指数 （CSI） 和制冷需求指数 （CDI） 评估 BGS 在 2014 年、2018 年和 2022 年的制冷供需水平。然后应用空间梯度分析和约束效应分析检查它们之间的关系。随后，研究了制冷供需耦合协调度 （CCD） 及其建筑环境驱动的解释力。最终，确定了供需不匹配的领域，并设计了量身定制的冷却策略来纠正这些差异。结果表明：（1） 2014 年至 2022 年，武汉大都会的 BGS 制冷供应能力下降，制冷需求水平上升。（2） 武汉市 BGS 的制冷供需水平存在显著相关性，存在空间梯度效应和约束效应 （CSI 值 = 0–0.2）。（3） 2014—2022 年武汉市降温供需 CCD 下降，建筑密度是主要建筑环境因子 （q 值 = 0.83–0.86）。（4） 2014 年至 2022 年武汉市供需不匹配机组数量显著增加，表明缓解城市高温迫在眉睫。为了解决这个问题，该研究提出了一种基于错配机制的监管策略，旨在减轻住宅、交通和工业领域的热量。