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Evaluating the role of urban trees on building energy use: a global literature review 评估城市树木对建筑能源使用的作用:全球文献综述
IF 9.2 1区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-08-28 DOI: 10.1016/j.landurbplan.2025.105475
Chen Yang , Mengju Xie , Thushini Mendis
As the global energy crisis and climate change exacerbate urban heat island effects, trees offer significant potential to reduce energy demand by shading solar radiation and improving microclimates. However, there is a lack of comprehensive global reviews on the effects of urban trees on building energy use. This study aims to address the existing research gap by systematically reviewing peer-reviewed literature to investigate the impact of urban trees on building energy use across global climate zones, analyzing the mechanisms and pathway combinations through which trees influence energy use, and exploring optimal tree placement strategies for building energy performance optimization. Results show that trees can reduce cooling energy use by up to 60 %, with savings ranging from 31.75 % in equatorial climates to 4.78 % in snow climates. The impact on heating energy use varies widely, from −63.8 % to 45 %, depending on climate, tree species, and placement. Simulation studies analyze more complex pathway combinations (9 types) compared to empirical research (4 types), revealing methodological gaps in empirical studies of these mechanisms. Spatial analysis shows latitude-dependent optimization patterns, where for cooling, 38.5 % of studies recommend west-side planting while 23 % suggest south-side planting (though less effective at low latitudes). The optimal planting distances cluster at 3 m and 5 m for both cooling and heating effects, with high-latitude cooling extending to 9–12 m spacing. Future research should integrate interdisciplinary approaches, AI modeling, and high-resolution monitoring data to optimize tree-building energy interactions.
随着全球能源危机和气候变化加剧城市热岛效应,树木通过遮阳太阳辐射和改善小气候提供了巨大的潜力,以减少能源需求。然而,关于城市树木对建筑能源使用的影响,缺乏全面的全球综述。本研究旨在通过系统梳理同行评议文献,探讨全球气候区城市树木对建筑能源利用的影响,分析树木影响能源利用的机制和途径组合,探索建筑能源性能优化的最佳植树策略,以弥补现有研究空白。结果表明,树木可以减少高达60%的冷却能源使用,从赤道气候的31.75%到雪气候的4.78%不等。对供暖能源使用的影响差异很大,从- 63.8%到45%不等,具体取决于气候、树种和地理位置。与实证研究(4种类型)相比,模拟研究分析了更复杂的途径组合(9种类型),揭示了这些机制的实证研究在方法上的差距。空间分析显示了与纬度相关的优化模式,其中38.5%的研究建议在西侧种植,而23%的研究建议在南侧种植(尽管在低纬度地区效果较差)。制冷和制热效果的最佳种植距离集中在3 m和5 m,高纬度的制冷间距延伸到9-12 m。未来的研究应整合跨学科方法、人工智能建模和高分辨率监测数据,以优化树木建筑的能源相互作用。
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引用次数: 0
Defining ‘adequate’ tree protection: Meeting urban canopy targets requires careful retention of mature trees 定义“充分”的树木保护:达到城市树冠的目标需要谨慎地保留成熟的树木
IF 9.2 1区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-08-27 DOI: 10.1016/j.landurbplan.2025.105484
Thami Croeser , Wolfgang W. Weisser , Joe Hurley , Thomas Rötzer , Leila Parhizgar , Qian (Chayn) Sun , Sarah A. Bekessy
Canopy cover is increasingly recognised as an important aspect of the urban landscape, and as a result urban forestry plans have been adopted in many cities globally. These are often built around ambitious canopy cover targets, with a goal to keep cities cool and improve their amenity while delivering co-benefits like health improvements, flood reduction and enhanced biodiversity. Canopy targets and tree planting have tended to receive more attention than another critical determinant of canopy expansion: keeping the trees alive once they are planted. In this study, we use a model to examine how varying tree removal rates influences the long-term canopy cover provided by street trees, considering both typical policy timeframes and projections through the end of the century. The model uses allometrics from real urban trees in four cities to project canopy growth under a wide range of removal rates, for a wide range of potential urban forest characteristics. We find that retention of mature and maturing street trees is consistently critical, with removal rates exceeding 3% per annum generally associated with much lower canopy progress (and usually very poor results). The model’s outputs demonstrate how cities can build a clear case for better-integrated urban governance to ensure these challenging threshold values are avoided.
树冠覆盖日益被认为是城市景观的一个重要方面,因此全球许多城市都采用了城市林业计划。这些项目通常围绕着雄心勃勃的树冠覆盖目标而建,其目标是保持城市凉爽,改善城市舒适度,同时带来改善健康、减少洪水和增强生物多样性等共同效益。树冠目标和树木种植往往比树冠扩张的另一个关键决定因素——在种植后保持树木的存活——受到更多的关注。在这项研究中,我们使用一个模型来研究不同的树木砍伐率如何影响行道树提供的长期树冠覆盖,同时考虑到典型的政策时间框架和到本世纪末的预测。该模型使用来自四个城市真实城市树木的异速测量来预测在广泛的采伐率下的冠层生长,以获得广泛的潜在城市森林特征。我们发现,成熟和成熟行道树的保留一直是至关重要的,每年超过3%的砍伐率通常与冠层进展低得多有关(通常是非常差的结果)。该模型的结果表明,城市可以为更好地整合城市治理建立一个清晰的案例,以确保避免这些具有挑战性的阈值。
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引用次数: 0
Unpacking Outcomes: A quasi-experimental study on the effectiveness of China’s major function-oriented zone planning 解包结果:中国主体功能区规划有效性的准实验研究
IF 9.2 1区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-08-25 DOI: 10.1016/j.landurbplan.2025.105482
Kaiyang Jia , Sujuan Zhong , Xianjin Huang
The competing demands for land resources among urbanization, food production, and ecological preservation present a critical challenge for sustainable development in developing nations. China’s Major Function-Oriented Zone Planning (MFZP), launched in 2010, represents a pioneering national-scale zoning planning to address these competing interests. This study provides the first comprehensive empirical assessment of MFZP’s effectiveness through a quasi-experimental analysis using county-level panel data from 2000 to 2020. Employing a Propensity Score Matching with Difference-in-Difference approach, we compare land development patterns between restricted and key development zones with similar baseline characteristics. Results demonstrate that MFZP successfully achieved its primary objective: restricted development zones exhibited significantly lower development intensity compared to matched key development zones, without showing significant negative impacts on per capita GDP growth. The effectiveness of the plan implementation varies notably across China’s economic regions and among restricted zones with different functional priorities. These findings validate the feasibility of large-scale spatial planning in balancing development needs and offer evidence-based insights for developing countries seeking to implement similar land-use management strategies.
城市化、粮食生产和生态保护三者对土地资源的竞争对发展中国家的可持续发展提出了严峻的挑战。中国于2010年推出的主体功能区规划(MFZP)是解决这些利益冲突的全国性分区规划的先驱。本研究利用2000 - 2020年的县级面板数据,首次对保税区的有效性进行了准实验分析。采用倾向得分匹配和差中差方法,我们比较了具有相似基线特征的限制开发区和重点开发区之间的土地开发模式。结果表明,MFZP成功地实现了其主要目标:限制开发区的开发强度明显低于匹配的重点开发区,但对人均GDP增长没有显著的负面影响。规划实施的效果在中国不同经济区域和不同功能重点的限制区域之间存在明显差异。这些发现证实了大规模空间规划在平衡发展需求方面的可行性,并为寻求实施类似土地使用管理战略的发展中国家提供了基于证据的见解。
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引用次数: 0
Improving an African urban mosaic for insect pollinators through increased floral diversity and better functional connectivity 通过增加植物多样性和改善功能连通性,改善非洲昆虫传粉媒介的城市马赛克
IF 9.2 1区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-08-20 DOI: 10.1016/j.landurbplan.2025.105480
Ibukun Balogun , James S. Pryke , Temitope Kehinde , Michael J. Samways
Small African urban areas are composed of an urban core, farms, and natural areas. This mosaic has high potential for providing refuge for urban biodiversity, especially for beneficial groups like insect pollinators. Insect pollinators are important for agricultural yield, yet are in decline in many parts of the world. However, to date, African urban areas as a refuge for these pollinators are poorly explored, despite increasing urbanization and agricultural intensification in recent decades. Here, we investigate how insect pollinator diversity differs between gardens, agricultural areas, and natural areas in a southern African urban mosaic. We also explore the influence of urban green spaces on the taxonomic diversity of insect pollinators. Direct observation and pan traps were used for assessing the diversity of pollinators, and we measured associated environmental, floral, and landscape variables. Results indicated similar pollinator diversity between agricultural and natural areas for some taxa, and between agricultural areas and the urban gardens for other taxa. Significantly, floral variables were the most important predictors of the pollinators, with the enhancement of floral diversity ameliorating the effects of urbanization and agricultural intensification. In contrast, landscape context was less important, although significant, for insect pollinators in these mosaics. Results, although varying significantly among taxa, suggest that agroecological farming may serve as a buffer from the effects of urbanization for natural areas and reduce the effect of urbanization on pollinators in urban gardens by providing the necessary resources. Here, we show that floral variables are important for improving urban green planning. This could be achieved by the establishment of more flowering plants, especially in human-modified areas such as semi-urban agricultural areas and urban gardens.
非洲的小城市地区由城市核心、农场和自然区域组成。这种马赛克具有很高的潜力,为城市生物多样性提供避难所,特别是对昆虫传粉者等有益群体。昆虫传粉媒介对农业产量很重要,但在世界许多地方,昆虫传粉媒介的数量正在减少。然而,尽管近几十年来城市化和农业集约化程度不断提高,但迄今为止,非洲城市地区作为这些传粉媒介的避难所尚未得到充分探索。在这里,我们调查昆虫传粉者的多样性如何在花园,农业地区和自然地区在南部非洲城市马赛克。我们还探讨了城市绿地对传粉昆虫分类多样性的影响。采用直接观察和捕集盘法评估传粉媒介的多样性,并测量了相关的环境、花卉和景观变量。结果表明,一些类群的传粉者多样性在农业区与自然区相似,而在其他类群中,传粉者多样性在农业区与城市园林区相似。花型变量是最重要的传粉媒介预测因子,花型多样性的增强可以缓解城市化和农业集约化的影响。相比之下,景观背景对这些马赛克中的昆虫传粉者来说不太重要,尽管很重要。结果表明,生态农业可以缓冲城市化对自然区域的影响,并通过提供必要的资源来减少城市化对城市园林传粉者的影响。本研究表明,花卉变量对改善城市绿色规划具有重要意义。这可以通过种植更多的开花植物来实现,特别是在人类改造的地区,如半城市农业区和城市花园。
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引用次数: 0
Characterization of multi-scale urban habitat wildness: Integration of the rewilding theory into novel urban ecosystem restoration and management 多尺度城市生境野化特征:将野化理论融入新型城市生态系统恢复与管理
IF 9.2 1区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-08-20 DOI: 10.1016/j.landurbplan.2025.105481
Ge Hong, Maodan Li, Siyi Liang, Xuefei Wu
With the global extension of novel urban ecosystems (NUEs), it is urgent to significantly adjust the restoration and management strategies apart from the traditional focus on historical assemblages. Urban rewilding provides a transformative direction in this context. However, there is a lack of multi-scale rewilding performance indicators and decision-making tools for NUEs, particularly at the urban habitat scale. Here, we proposed a multi-scale wildness conceptual model that nests from the biotope (plant community) to habitat scale and integrates biotope wildness and evenness based on the self-organization theory, where biotope wildness is constructed with naturalness and integrity. Secondly, we conducted an empirical study on 144 biotopes from 12 core habitats in Wuhan by plant survey and soil sampling. With the universal eukaryotic primer pair NF1F/18Sr2bR and high-throughput sequencing, we identified the main soil eukaryotic groups and assessed the above- and below-ground biodiversity. Next, we employed the spontaneous plant richness and a soil multidiversity index to represent biotope naturalness and integrity, respectively. Finally, we used the random forest algorithm, generalized additive model, and piecewise linear regression to further reveal the determinants of biotope wildness and their thresholds. The selected metrics were proved as good proxies for biotope naturalness and integrity, respectively, and have different determinants. There are indeed thresholds of biotope wildness determinants, which are useful tools for NUE management and restoration. This study highlights the necessity of transformative shifts in urban habitat management and restoration practices and reintroduction of natural processes to enhance urban socio-ecological resilience.
随着新型城市生态系统在全球范围内的扩展,迫切需要在传统的关注历史建筑群的基础上,对其修复和管理策略进行重大调整。在这种背景下,城市野化提供了一个变革的方向。然而,缺乏多尺度的野生动物回归绩效指标和决策工具,特别是在城市栖息地尺度上。在此基础上,基于自组织理论,提出了从生物群落(植物群落)到生境尺度的多尺度野生度概念模型,将生物群落的野生度和均匀度相结合,以自然度和完整性构建生物群落的野生度。其次,通过植物调查和土壤采样对武汉市12个核心生境144个生物群落进行了实证研究。利用通用真核引物对NF1F/18Sr2bR和高通量测序,鉴定了土壤真核生物的主要类群,并评估了地上和地下的生物多样性。接下来,我们分别用植物自然丰富度和土壤多样性指数来表示生物群落的自然度和完整性。最后,我们采用随机森林算法、广义加性模型和分段线性回归进一步揭示了生物群落野生度的决定因素及其阈值。结果表明,所选择的指标分别可以很好地代表生物群落的自然度和完整性,并且具有不同的决定因素。确实存在生物群落野生性决定因素的阈值,这是NUE管理和恢复的有用工具。该研究强调了城市栖息地管理和恢复实践的转型转变以及重新引入自然过程以增强城市社会生态弹性的必要性。
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引用次数: 0
A shift toward extensive utilization: The long-term relations between building volume and utilization intensity in China’s 267 natural cities 向粗放型利用的转变:中国267座自然城市建筑体量与利用强度的长期关系
IF 9.2 1区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-08-18 DOI: 10.1016/j.landurbplan.2025.105466
Kechao Wang , Linlin Ruan , Wu Xiao , Runjia Yang , Jiatong Zhou
Urbanization is accelerating globally, with China’s urbanization rate increasing by 40 percentage points over the past four decades. However, the dynamic spatial coupling between building volume and utilization intensity during different urbanization stages remains unclear. This study proposes a novel method using multi-source long-term remote sensing data to characterize this coupling from both a fine-grained and city-level perspective from 1994 to 2021. By integrating high-resolution nighttime light data with building footprint data and building height data across China, we established the Lighted Building Index (LBI) to measure human activity relative to building volume. This allows us to further categorize cities into five distinct typologies and illustrating their dynamic interplay between development and coupling degrees. Spatially, findings reveal significant disparities in the coupling, particularly in urban centers where LBI values are lower than surroundings. Spatial differentiation along the urban–rural gradient further highlights complexities in urban utilization. Temporally, a notable transition from urban intensification to urban de-intensification over the past three decades is found, indicating a shift toward less efficient urban development. As economic growth occurs, the coupling between infrastructure investment and utilization intensity weakens, underscoring the urgent need for policy interventions. This study serves as a vital tool to promote sustainable urbanization.
全球城镇化进程加快,中国城镇化率在过去40年里提高了40个百分点。然而,不同城市化阶段建筑体量与利用强度之间的动态空间耦合关系尚不清楚。本研究提出了一种新的方法,利用多源长期遥感数据从1994年至2021年的细粒度和城市层面来表征这种耦合。通过整合高分辨率夜间照明数据、建筑足迹数据和建筑高度数据,我们建立了照明建筑指数(LBI),以衡量与建筑体积相关的人类活动。这使我们能够进一步将城市分为五种不同的类型,并说明它们在发展和耦合度之间的动态相互作用。在空间上,研究结果揭示了耦合的显著差异,特别是在城市中心,LBI值低于周围环境。城乡梯度的空间分异进一步凸显了城市利用的复杂性。从时间上看,在过去三十年中,从城市集约化到城市去集约化发生了显著的转变,表明城市发展向效率较低的方向转变。随着经济增长,基础设施投资与利用强度之间的耦合减弱,强调了政策干预的迫切需要。本研究是促进可持续城市化的重要工具。
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引用次数: 0
Generative artificial intelligence perspectives on typical landscape types: Can ChatGPT compete with human insight? 典型景观类型的生成式人工智能视角:ChatGPT能与人类的洞察力竞争吗?
IF 9.2 1区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-08-18 DOI: 10.1016/j.landurbplan.2025.105479
Jinxuan Liu, Tianci Zhang, Yongcan Ma, Tianxu Hu, Feng Lin, Huiyi Liang, Danchen Yang, Yinan Pan, Dongyang Gao, Ling Qiu, Tian Gao
The emergence of ChatGPT, a prominent generative artificial intelligence (GAI), has raised concerns due to its increasing capability to rival or even surpass human performance across various tasks and domains. However, its alignment with human perception, particularly in emotional and aesthetic dimensions such as landscape preferences, remains uncertain. This study investigated the discrepancies between human and GPT-4 performance in landscape perception and preference, using the Kaplans’ preference matrix as a benchmark. Survey data were collected from 1,333 participants in China, and five typical landscapes i.e. gray, open green, partly open/closed green, closed green, and blue spaces were evaluated. To simulate human-like responses, artificial intelligence (AI) agents using ChatGPT were created with personal attributes mirroring those of the human sample. Results indicated that GPT-4 demonstrated significant divergences from human perception and preference in assessing landscape coherence, complexity, mystery, legibility, and overall preference. While GPT-4 performed comparably well in simpler environments, such as pure single-layer broadleaf forests on flat terrain, it struggled to capture key elements and emotions in more complex or nuanced urban landscapes. Notably, only 2.4 % of ChatGPT’s responses aligned with human perceptions and preferences. These findings highlighted the limitations of current AI in fully replicating human intelligence in landscape perception, emphasizing the continued necessity of human involvement in human-centered landscape design. This study offers insights into the current limitations of ChatGPT and suggests directions for enhancing its application in landscape design.
ChatGPT是一种杰出的生成式人工智能(GAI),它的出现引起了人们的关注,因为它在各种任务和领域的能力越来越强,甚至超过了人类的表现。然而,它与人类感知的一致性,特别是在情感和美学方面,如景观偏好,仍然不确定。本研究以Kaplans偏好矩阵为基准,研究了人类和GPT-4在景观感知和偏好方面的差异。通过对中国1333名参与者的调查数据,对灰色、开放绿地、部分开放/封闭绿地、封闭绿地和蓝色空间五种典型景观进行了评价。为了模拟类似人类的反应,使用ChatGPT的人工智能(AI)代理被创建,其个人属性反映了人类样本的个人属性。结果表明,GPT-4在评估景观一致性、复杂性、神秘性、易读性和整体偏好方面与人类的感知和偏好存在显著差异。虽然GPT-4在简单的环境中表现得相当好,比如平坦地形上的纯单层阔叶森林,但它在捕捉更复杂或微妙的城市景观中的关键元素和情感方面却很困难。值得注意的是,只有2.4%的ChatGPT回答与人类的感知和偏好一致。这些发现突出了当前人工智能在景观感知中完全复制人类智能的局限性,强调了人类参与以人为本的景观设计的持续必要性。本研究揭示了ChatGPT目前的局限性,并提出了加强其在景观设计中的应用的方向。
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引用次数: 0
Modeling species-specific migration to enhance climate connectivity under climate and anthropogenic stressors 模拟物种特异性迁移以增强气候和人为压力下的气候连通性
IF 9.2 1区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-08-15 DOI: 10.1016/j.landurbplan.2025.105468
Mingxi Shi , Qiannan Xue , Yingying Wang , Xueqi Liu , Lu Wang , Hao Li
Climate change and human disturbances are shifting species distribution ranges, intensifying the global biodiversity crisis. However, meso-scale assessments of climate connectivity and species migration pathways under compound climate and anthropogenic stressors remain limited. This study presents a comprehensive framework for assessing climate connectivity under such compound stressors, using the Beijing–Tianjin–Hebei (BTH) region of North China as a case study. By integrating climate and human exposure modeling with species-specific thermal tolerance, the framework quantifies spatial patterns of minimum cumulative exposure, climate velocity, and centrality under both climate-only and composite (climate − human) exposure scenarios. Results indicate that topographic heterogeneity is the primary driver of exposure cost variation. Projected migration pathways converge into belt-shaped key node areas that link the Bashang Plateau and North China Plain (source regions) with the Taihang Mountains (sink regions), highlighting priority areas for enhancing climate connectivity. Addressing dual stressors is crucial not only for maintaining functional connectivity but also for minimizing the risk of invasive species spread. Given divergent migration routes among species with varying thermal tolerances, conservation strategies must account for both temporary holdouts and long-term refugia along transboundary pathways at broader spatio-temporal scales. Incorporating additional species-specific traits—such as dispersal capacity and range limits—supports adaptive, trait-sensitive climate corridor design under climate change.
气候变化和人为干扰正在改变物种分布范围,加剧全球生物多样性危机。然而,在复合气候和人为压力下,气候连通性和物种迁移途径的中尺度评估仍然有限。本文以中国北方的京津冀地区为例,提出了一个综合的气候连通性评估框架。通过将气候和人类暴露模拟与物种特异性热耐受性相结合,该框架量化了气候单一和气候-人类复合暴露情景下的最小累积暴露、气候速度和中心性的空间格局。结果表明,地形异质性是暴露成本变化的主要驱动因素。预测的移民路径汇聚成连接坝上高原和华北平原(源区)与太行山(汇区)的带状关键节点区,突出了加强气候连通性的优先区域。解决双重压力源不仅对维持功能连通性至关重要,而且对减少入侵物种传播的风险也至关重要。鉴于具有不同热耐受性的物种之间的迁徙路线不同,保护策略必须在更广泛的时空尺度上考虑跨界路径上的临时滞留和长期避难。结合其他物种特有的特征,如扩散能力和范围限制,支持气候变化下适应性、特征敏感的气候走廊设计。
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引用次数: 0
Systematic overestimation of urban Parks’ cooling effects may mislead heat-governance-oriented park planning 系统地高估城市公园的降温效果可能会误导以热治理为导向的公园规划
IF 9.2 1区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-08-14 DOI: 10.1016/j.landurbplan.2025.105467
Jun Yang , Zhe Li , Yuyu Zhou , Xue Bai , Jiaxing Xin , Xuefeng Kang , Gege Nie , Yuqing Zhang , Liang Zhou , Xiangming Xiao , Xueming Li
Urban parks play a crucial role in mitigating the urban heat island effect, and their cooling effects have been widely studied. However, data resolution limitations hinder the accurate capture of micro-scale temperature variations, leading to assessment biases. This study analyzed 36 parks within Beijing’s Fourth Ring Road, employing a downscaling model based on Landsat 8 and Sentinel-2 imagery to generate high-resolution land surface temperature (LST) data. Using maximum and cumulative cooling indicators alongside an improved threshold value of efficiency (TVoE) method, we examined how enhanced data resolution influences park cooling assessment outcomes. Results indicated that low-resolution LST data fail to accurately capture the first turning point (FTP) of the cooling curve, leading to varying degrees of overestimation in park cooling effects depending on the cooling indicator and park size. Specifically, park cooling distance (PCD), area (PCA), and efficiency (PCE) were overestimated by factors of 2.35, 1.80, and 6.21, respectively, with smaller parks showing more pronounced biases. Conversely, park cooling intensity (PCI) remained stable across resolutions. This anomaly may obscure overestimation issues and lead to underestimation of the TVoE (with the PCI-based TVoE being significantly lower than that derived from PCD and PCA), thereby misleading the practical planning, hindering the precise implementation of heat governance policies, and weakening the effectiveness of urban heat risk management. Therefore, future research should prioritize verifying PCD accuracy refine both data resolution and methodology to improve the precision of park cooling assessments, thereby providing more scientifically grounded guidance for urban park planning aimed at heat governance.
城市公园在缓解城市热岛效应中起着至关重要的作用,其降温效应得到了广泛的研究。然而,数据分辨率的限制阻碍了对微尺度温度变化的准确捕获,导致评估偏差。本研究分析了北京四环内的36个公园,采用基于Landsat 8和Sentinel-2图像的降尺度模型生成高分辨率地表温度(LST)数据。使用最大和累积冷却指标以及改进的效率阈值(TVoE)方法,我们研究了增强的数据分辨率如何影响公园冷却评估结果。结果表明,低分辨率地表温度数据不能准确捕捉降温曲线的第一拐点(FTP),导致不同降温指标和公园规模对公园降温效果有不同程度的高估。其中,公园冷却距离(PCD)、面积(PCA)和效率(PCE)分别被高估了2.35、1.80和6.21倍,且公园规模越小,偏差越明显。相反,公园冷却强度(PCI)在不同分辨率下保持稳定。这种异常可能会掩盖高估的问题,导致对TVoE的低估(基于pci的TVoE明显低于PCD和PCA的TVoE),从而误导实际规划,阻碍热治理政策的精确实施,削弱城市热风险管理的有效性。因此,未来的研究应优先验证PCD的准确性,完善数据分辨率和方法,以提高公园降温评估的精度,从而为以热治理为目标的城市公园规划提供更科学的指导。
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引用次数: 0
Dynamic exposure to urban lakefront spaces: Unveiling the role of social infrastructure in shaping visitation 城市湖滨空间的动态暴露:揭示社会基础设施在塑造游客中的作用
IF 9.2 1区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-08-11 DOI: 10.1016/j.landurbplan.2025.105465
Run Shi , Xiangbin Peng , Yuanzheng Cui , Xuejun Duan , Dong Xu , Lei Wang , Anthony Gar-On Yeh
Access to blue spaces, such as lakes and waterfronts, operates at the nexus of physical and mental well-being, as well as the broader agendas of sustainable urbanization. Despite their importance, the patterns of dynamic exposure to urban lakefront spaces, i.e., areas surrounding lakes within cities, and the role of social infrastructure in influencing how urbanites encounter and visit lakefront spaces remain insufficiently explored. Drawing on the Pearl River Delta (PRD) in China as a site of rapid urban transformation, we use fine grained mobile phone data to chart and interpret the spatial and temporal patterns of lakefront exposure. A Light Gradient Boosting Machine (LightGBM) model, validated through 10-fold cross-validation (R2≈0.7), is employed to examine the effects of eight types of social infrastructure with split and gain importance. The results reveal a variegated landscape of exposure, with weekday and weekend visitations diverging across four distinct lakefront types: urban lifelines, weekend havens, quiet waters, and workday blues. These findings emphasize the role of mixed-use development, public transit, and compact urban form in equitable and vibrant blue-space development. By advancing an analytic framework that integrates human mobilities and urban lakefront spaces, this study enriches the understanding of blue space exposure and underscores the importance of purposefully designed social infrastructures in supporting leisure, physical activity, and social interactions.
进入蓝色空间,如湖泊和海滨,是身心健康的纽带,也是可持续城市化的更广泛议程。尽管它们很重要,但城市湖滨空间(即城市内湖泊周围地区)的动态暴露模式,以及社会基础设施在影响城市居民如何接触和访问湖滨空间方面的作用,仍未得到充分探索。以中国的珠江三角洲作为快速城市转型的地点,我们使用细粒度的移动电话数据来绘制和解释湖滨暴露的时空格局。采用10倍交叉验证(R2≈0.7)的光梯度增强机(Light Gradient Boosting Machine, LightGBM)模型,考察了8种具有分裂和增益重要性的社会基础设施的影响。研究结果揭示了一个多样化的景观,工作日和周末的游客分布在四种不同的湖滨类型:城市生命线、周末避风港、安静的水域和工作日的忧郁。这些发现强调了混合用途开发、公共交通和紧凑的城市形式在公平和充满活力的蓝色空间开发中的作用。通过提出一个整合人类流动性和城市湖滨空间的分析框架,本研究丰富了对蓝色空间暴露的理解,并强调了有目的设计的社会基础设施在支持休闲、体育活动和社会互动方面的重要性。
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Landscape and Urban Planning
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