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From control to cohabitation: Social-ecological insights on urban wildness narratives 从控制到同居:城市野性叙事的社会生态学视角
IF 6.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-01-09 DOI: 10.1016/j.ufug.2026.129279
Mairéad O’Donnell , Melissa Pineda-Pinto , Erik Andersson , Marcus Collier
Narratives surrounding urban green space management have experienced significant shifts in recent years. While the command-and-control approach to urban green space management was once a dominant narrative, alternative understandings have emerged over time. The emerging narrative on urban wilding presents a unique opportunity to expand on our current understandings and approaches to urban green space management. This research explores how participation in experiential workshops that engage with urban wild spaces (UWS) through deliberative methods may influence our narratives of urban green spaces and their management. This is achieved by examining the human-nature dynamics of the workshops, which employ methods of wild transect walks, storytelling, and multispecies role-playing, framed by social-ecological traits to facilitate the translation of perceptions and values. The workshops gathered data on the interplay between the participating human stakeholders. Based on a narrative analysis, the findings suggest that an initial disconnect between humans and ecology appears during engagement with UWS. Throughout the sense-making and sharing process, participants begin to connect with the spaces through sensory effect traits, such as auditory elements, tactile sensations, and visual characteristics, as they recount childhood memories and stories about the ecosystem's ecology. Narratives then shift as the workshops progress; participants move from descriptions of practical management and control toward a more ethical understanding of cohabitation. The article concludes by suggesting directions for future research to further understand the driving factors behind these shifting narratives.

Plain language summary

This research examines how people’s ideas about managing urban green spaces are evolving. In the past, management often focused on control, maintaining order and tidiness in nature. Recently, new approaches have emerged, such as urban wilding, which promotes allowing nature to grow and evolve more freely. This study tested whether workshops could alter people’s perceptions of urban green spaces. During the workshops, participants explored urban wild areas through activities like wild walks, storytelling, and role-playing as different species. These activities encouraged individuals to notice sensory details (such as sounds, textures, sights), and to share personal memories and stories. At first, many participants felt disconnected from the wild areas. But as the workshops progressed, they began to connect more deeply, moving away from seeing nature as something to control towards seeing it as something to live alongside and share. The study concludes that these kinds of participatory workshops can help people develop more ethical and coexisting relationships with urban nature. It also suggests more research is needed to understand what drives these shifts in perspectives.
近年来,围绕城市绿地管理的叙事经历了重大转变。虽然城市绿地管理的命令和控制方法曾经是一种主导叙事,但随着时间的推移,其他理解也出现了。关于城市野生动物的新兴叙述提供了一个独特的机会来扩展我们目前对城市绿地管理的理解和方法。本研究探讨了通过审议方法参与与城市野生空间(UWS)相关的体验研讨会如何影响我们对城市绿色空间及其管理的叙述。这是通过考察工作坊的人与自然动态来实现的,工作坊采用野生样带散步、讲故事和多物种角色扮演的方法,通过社会生态特征来促进观念和价值观的转化。讲习班收集了有关参与的人类利益相关者之间相互作用的数据。基于叙述性分析,研究结果表明,在与UWS接触期间,人类与生态之间出现了最初的脱节。在整个意义构建和分享过程中,参与者开始通过听觉元素、触觉和视觉特征等感官效果特征与空间建立联系,因为他们讲述了童年的记忆和生态系统的生态故事。然后,随着研讨会的进展,叙述会发生变化;参与者从实际管理和控制的描述转向对同居的更道德的理解。文章最后提出了未来研究的方向,以进一步了解这些转变叙事背后的驱动因素。这项研究考察了人们管理城市绿地的想法是如何演变的。在过去,管理往往侧重于控制,保持秩序和整洁的性质。最近,新的方法出现了,比如城市野生,它提倡让自然更自由地生长和进化。这项研究测试了工作坊是否能改变人们对城市绿地的看法。在工作坊期间,参加者透过野外漫步、讲故事及扮演不同物种等活动,探索城市野生地区。这些活动鼓励个人注意感官细节(如声音、纹理、景象),并分享个人记忆和故事。起初,许多参与者感到与野外脱节。但随着研讨会的进展,他们开始更深入地联系在一起,不再把自然视为可以控制的东西,而是把它视为可以与之共存和分享的东西。该研究的结论是,这种参与式研讨会可以帮助人们与城市自然建立更道德、更和谐的关系。它还表明,需要更多的研究来了解是什么推动了这些观点的转变。
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引用次数: 0
Toward climate-adaptive waterfront walking spaces: thresholds and cross-modal mechanisms of multi-sensory comfort 走向气候适应性滨水步行空间:多感官舒适的阈值和跨模态机制
IF 6.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-01-08 DOI: 10.1016/j.ufug.2026.129278
Zheng Yuan , Junjie Luo , Yang Liu , Lingzi Xu , Lerong Chen , Wenhui Xu
Amid intensifying urban heat island effects, the environmental quality of summer pedestrian spaces has become a central concern for public health and urban governance. However, prior studies have largely relied on linear models or single-sense analyses, which struggle to capture nonlinear threshold/plateau features and cross-modal couplings. To address this gap, we develop an integrated framework—digital twin modeling, in situ multi-source monitoring, subjective perception surveys, and interpretable machine learning (RF+SHAP)—using a suburban waterfront park in Hangzhou, China, as a case. We collect 960 paired observations linking environmental exposures with subjective ratings, and systematically examine the nonlinear effects and interactions of acoustic, visual, and thermal factors on overall comfort (OCV). Results indicate that PET, LUX, and Va are the primary drivers of OCV, with LAeq as a secondary constraint. OCV exhibits characteristic threshold–plateau responses to PET and LUX: comfort deteriorates sharply and enters a negative plateau when PET approaches or exceeds about 40–42 °C; the adverse effect of LUX intensifies beyond about 15,000 lx; by contrast, Va about 1.5–2.0 m/s provides a stable buffering effect under high thermal load. The acoustic dimension shows a shallow U-shaped response, with LAeq around 55–60 dB as a relatively acceptable band and rapid deterioration beyond about 70 dB, while the marginal benefit of ultra-low noise is limited. Interaction analyses further reveal both synergy and compensation between LUX×PET and LAeq×PET, evidencing cross-modal coupling in multisensory appraisal. Spatially, waterside segments yield higher visual and acoustic comfort yet slightly lower OCV than non-waterfront segments, reflecting systematic differences in exposure structures and buffering mechanisms. Taken together, this study delineates the mechanisms of multi-sensory comfort in waterside pedestrian environments from a “threshold–plateau–interaction” perspective, providing quantitative evidence and practical guidance for climate-adaptive design, multisensory optimization, and health-oriented governance.
随着城市热岛效应的加剧,夏季步行空间的环境质量已成为公共卫生和城市治理的核心问题。然而,先前的研究主要依赖于线性模型或单感分析,难以捕捉非线性阈值/平台特征和跨模态耦合。为了解决这一差距,我们开发了一个集成框架——数字孪生模型、现场多源监测、主观感知调查和可解释机器学习(RF+SHAP)——以中国杭州郊区的一个滨水公园为例。我们收集了960对观察结果,将环境暴露与主观评分联系起来,并系统地研究了声学、视觉和热因素对整体舒适度(OCV)的非线性影响和相互作用。结果表明,PET、LUX和Va是OCV的主要驱动因素,LAeq是次要约束因素。OCV对PET和LUX表现出典型的阈值平台反应:当PET接近或超过约40-42°C时,舒适性急剧恶化并进入负平台;超过15,000 lx后,LUX的不良影响会加剧;而在高热负荷下,1.5 ~ 2.0 m/s左右的Va具有稳定的缓冲效果。声学维度呈浅u型响应,LAeq在55-60 dB左右为相对可接受的波段,超过70 dB左右就会迅速恶化,超低噪声的边际效益有限。相互作用分析进一步揭示了LUX×PET和LAeq×PET之间的协同和补偿,证明了多感官评价中的跨模态耦合。在空间上,滨水段的视觉和听觉舒适度高于非滨水段,但OCV略低于非滨水段,反映了暴露结构和缓冲机制的系统性差异。综上所述,本研究从“阈值-平台-相互作用”的角度描绘了水边行人环境中多感官舒适的机制,为气候适应性设计、多感官优化和健康导向治理提供了定量证据和实践指导。
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引用次数: 0
The role of urban green spaces in mitigating heat-induced labor productivity losses of global megacities 城市绿地在缓解全球特大城市热致劳动生产率损失中的作用
IF 6.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-01-07 DOI: 10.1016/j.ufug.2026.129270
Si-Yu Liu , Chen Yi , Bo Yang , Xin-Yang Jiang , Si-Yi Wei , Xiao-Chen Yuan
Hot and humid working conditions pose health risks and reduce productivity, which are exacerbated in the megacities by urban heat islands and global warming. Although urban green spaces are deemed as an effective cooling measure, their ability to alleviate heat exposure and deliver associated socio-economic benefits remains inadequately understood. Here we combine the Wet Bulb Globe Temperature (WBGT) with Normalized Difference Vegetation Index (NDVI) to quantify the cooling effects and benefits of urban green spaces for labor productivity during the warm season, and assess the associated economic gains for outdoor workers across 32 megacities worldwide. We find that urban green spaces lower WBGT by an average of 0.26 ± 0.02 °C in 2020, reducing productivity losses for moderate and heavy labor by 13.7 ± 2.04 % and 9.89 ± 1.88 %, respectively. This leads to a total increase of 343 million work hours and 4.7 billion dollars (constant 2005 PPP) in earnings. Prioritizing greening in labor-dense but sparsely vegetated areas would yield more cost-effective benefits, including an additional cooling potential of 0.75 °C, and an increase of ∼216–380 million work hours and median earnings gains of 39.7–71.7 million dollars per city. These findings emphasize the critical role of urban green spaces in protecting worker safety and the significant potential of enhanced greening strategies to maintain labor productivity.
炎热潮湿的工作条件会造成健康风险并降低生产率,而城市热岛和全球变暖又加剧了这一问题。尽管城市绿地被认为是一种有效的降温措施,但它们减轻热量暴露和提供相关社会经济效益的能力仍未得到充分了解。本文将全球湿球温度(WBGT)与归一化植被指数(NDVI)相结合,量化了温暖季节城市绿地对劳动生产率的降温效果和效益,并评估了全球32个特大城市户外工作者的相关经济收益。研究发现,城市绿地在2020年平均降低了0.26 ± 0.02°C,减少了13.7 ± 2.04 %和9.89 ± 1.88 %的中度和重度劳动生产率损失。这将导致总共增加3.43亿小时的工作时间和47亿美元的收入(2005年购买力平价不变)。优先在劳动力密集但植被稀少的地区进行绿化将产生更具成本效益的效益,包括增加0.75°C的降温潜力,增加约2.16 - 3.8亿工作小时,每个城市的收入中位数增加3970 - 7170万美元。这些发现强调了城市绿地在保护工人安全方面的关键作用,以及加强绿化策略以保持劳动生产率的巨大潜力。
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引用次数: 0
Retrofitting parking lots to mitigate heat stress in an urban park: A numerical case study at microscale 改造停车场以减轻城市公园的热应力:微观尺度的数值案例研究
IF 6.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-01-07 DOI: 10.1016/j.ufug.2026.129268
Léopold Giroux-Gauthier , Dominik Strebel , Sylvia L.R. Wood , David Murray , Jan Carmeliet , Aytaç Kubilay , Dominique Derome
Urban forests and vegetated parks in cities, such as in the St. Helene Island in St. Lawrence River in Montreal, may help to mitigate heat stress during heatwaves. In this paper, we study how retrofitting scenarios that increase canopy cover in parking lots via tree planting can improve the thermal comfort for pedestrians. Specifically, we investigate the influence of tree size and placement within the parking lot sites on the thermal comfort in four retrofitting scenarios. We use the numerical suite of models urbanMicroclimateFoam, which simulates microclimate conditions at a local scale (submeter scale) solving Reynolds-averaged Navier-Stokes (RANS) equations for non-isothermal air flow, heat and moisture transport and storage in porous urban materials, solar radiation and longwave radiative exchanges between sky and urban surfaces and vegetation. The canopy of the park is reconstructed from LiDAR data allowing for simulation of transpirative cooling, shading and wind drag effects due to vegetation. We base our simulation on a 2020 heat wave that occurred in the Montreal region. Simulation of the current situation shows strong thermal heat stress with UTCI (Universal Thermal Climate Index) values up to 37°C. The retrofit scenarios explore the effect of replacing the pavement of two parking lots with grass, and the addition of trees in different arrangements, varying their size and position. We found that replacement of part of the asphalt pavement with grass yields an overall UTCI reduction of 1.5 °C. Scenarios adding trees in different arrangements improve the thermal comfort locally by cooling up to 6.5 °C. The reduction in UTCI is shown to be most importantly caused by a reduction of mean radiant temperature due to shading from the added trees in the area.
城市里的城市森林和植被公园,比如蒙特利尔圣劳伦斯河上的圣海伦岛,可能有助于缓解热浪期间的热应激。在本文中,我们研究了通过植树增加停车场树冠覆盖度的改造方案如何改善行人的热舒适性。具体而言,我们研究了四种改造方案中停车场场地内树木的大小和放置对热舒适的影响。我们使用数值模型urbanMicroclimateFoam,模拟局地尺度(亚米尺度)的小气候条件,求解雷诺平均Navier-Stokes (RANS)方程,求解非等温气流、多孔城市材料中热量和水分的输送和储存、天空与城市表面和植被之间的太阳辐射和长波辐射交换。公园的树冠是根据激光雷达数据重建的,可以模拟由于植被造成的蒸腾冷却、遮阳和风阻效应。我们的模拟基于2020年发生在蒙特利尔地区的热浪。目前的情况模拟显示强烈的热应力,UTCI(通用热气候指数)值高达37°C。改造方案探讨了将两个停车场的路面替换为草地的效果,并以不同的排列方式增加树木,改变它们的大小和位置。我们发现,用草代替部分沥青路面可使总体UTCI降低1.5°C。在不同布置的场景中,增加树木可以提高局部的热舒适度,降温幅度可达6.5°C。UTCI的降低最重要的原因是由于该地区增加的树木遮阳导致平均辐射温度的降低。
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引用次数: 0
Who gets quality urban parks? A socioeconomic disparity analysis using user reviews and the opportunity algorithm in Los Angeles 谁能得到高质量的城市公园?在洛杉矶使用用户评论和机会算法进行社会经济差异分析
IF 6.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-01-06 DOI: 10.1016/j.ufug.2026.129266
Hyebin Kim , Junhyeon Kweon , Jae Hong Kim , John R. Hipp , Sugie Lee
This study explores urban park equity by leveraging user-generated content from Google Maps and applying the opportunity algorithm to assess disparities in park quality. We investigated whether perceived needs and satisfaction levels related to park features vary by neighborhood income level, racial composition, and park size. The opportunity algorithm identifies underserved and overserved features by comparing the relative importance and satisfaction scores. The results revealed that different park groups exhibited distinct underserved and overserved features. Safety concerns are underserved in low-income and minority neighborhoods. Conversely, amenities such as hiking and biking or natural features are often overserved in high-income or high-white areas. Furthermore, dog parks were viewed as overserved in low-white areas but underserved in high-white areas, reflecting a reversed pattern. These findings demonstrate the effectiveness of the opportunity algorithm approach in detecting user perceptions of park quality by identifying mismatches between importance and satisfaction, offering a scalable, data-driven alternative to traditional audits. Based on these insights, we propose policy recommendations to support more inclusive and responsive urban park planning.
本研究通过利用谷歌地图上的用户生成内容,并应用机会算法来评估公园质量的差异,探讨了城市公园的公平性。我们调查了与公园特征相关的感知需求和满意度是否因社区收入水平、种族构成和公园规模而异。机会算法通过比较相对重要性和满意度得分来识别服务不足和服务过度的特征。结果表明,不同的公园群表现出明显的服务不足和服务过剩特征。在低收入和少数族裔社区,安全问题得不到充分重视。相反,在高收入或高白色地区,徒步旅行、骑自行车或自然景观等设施往往被过度使用。此外,狗公园在低白地区被认为服务过多,而在高白地区被认为服务不足,反映了相反的模式。这些发现证明了机会算法方法在通过识别重要性和满意度之间的不匹配来检测用户对公园质量的看法方面的有效性,为传统审计提供了可扩展的、数据驱动的替代方案。基于这些见解,我们提出了政策建议,以支持更具包容性和响应性的城市公园规划。
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引用次数: 0
Unpacking the conditions for integrating Nature-Based Solutions in Stockholm’s spatial planning 揭示在斯德哥尔摩空间规划中整合基于自然的解决方案的条件
IF 6.4 2区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-01-06 DOI: 10.1016/j.ufug.2026.129265
Lina SULEIMAN, PU Yuxin, Blal ADEM ESMAIL, Berit BALFORS, Ulla MÖRTBERG
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引用次数: 0
Regreening shrinking cities: A multi-objective tool for optimizing urban green networks 缩小城市的绿化:优化城市绿色网络的多目标工具
IF 6.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-01-06 DOI: 10.1016/j.ufug.2026.129269
Luanxin Song, Conghui Zhou, Zeyang Li
Green spaces have emerged as key strategic resources for repurposing vacant lands to address the social, environmental, and economic challenges caused by urban shrinkage. Unlike land-scarce cities, shrinking cities are characterized by abundant vacant land and limited financial resources, which complicates the systematic optimization of urban green networks using conventional approaches. We propose a novel framework for urban green network optimization based on a cost-benefit analysis. Using Xuzhou City, China, as a case study, we employed high resolution remote sensing images and a DeepLabV3 deep learning model to identify vacant land and evaluate vacant sites’ regreening potential across recreational, ecological, and productive functions. Next, we developed a network model to simulate dynamic performance under three optimization scenarios. We used the principle of diminishing marginal utility to identify efficiency and benefit thresholds corresponding to scenarios yielding the most rapid and substantial performance improvements. Finally, we designed a two-phase grading method to integrate the results of the three scenarios into a comprehensive potential score to prioritize regreening sites. The results revealed that: 1) compared to growing cities, shrinking cities showed higher efficiency and potential in utilizing existing resources for green network optimization; 2) significant heterogeneity was confirmed in the distribution of potential sites under the three optimization scenarios; and 3) ecology- and recreation-oriented scenarios demonstrated the highest and lowest cost-benefit, respectively, throughout the optimization process. This study contributes novel insights and provides practical tools for urban green network planning in shrinking cities worldwide.
绿地已成为重新利用空置土地以应对城市萎缩所带来的社会、环境和经济挑战的关键战略资源。与土地稀缺城市不同,萎缩型城市的特点是空地丰富,财政资源有限,这使得传统方法对城市绿色网络的系统优化变得复杂。本文提出了一种基于成本效益分析的城市绿色网络优化框架。以中国徐州市为例,利用高分辨率遥感影像和DeepLabV3深度学习模型对空地进行识别,并从游憩、生态和生产三个方面评价空地的绿化潜力。其次,我们建立了一个网络模型来模拟三种优化场景下的动态性能。我们使用边际效用递减原则来确定效率和效益阈值,这些阈值对应于产生最快速和最实质性性能改进的场景。最后,我们设计了一种两阶段的评分方法,将三种情景的结果整合成一个综合潜力评分,以确定绿化地点的优先级。结果表明:1)与增长型城市相比,萎缩型城市在利用现有资源优化绿色网络方面表现出更高的效率和潜力;2) 3种优化情景下潜在站址分布均存在显著异质性;3)在整个优化过程中,生态导向和游憩导向分别表现出最高和最低的成本效益。本研究为全球萎缩城市的城市绿色网络规划提供了新的见解和实用工具。
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引用次数: 0
Corrigendum to “The need for human-centered design for AI robots in urban parks and forests” [Urban For. & Urban Greening 91 (2024) 128186] “城市公园和森林中人工智能机器人需要以人为本的设计”的勘误表[urban for]。城市绿化91 (2024)128186 [j]
IF 6.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-01-06 DOI: 10.1016/j.ufug.2026.129267
Wanggi Jaung
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引用次数: 0
Urban and peri-urban agriculture as a climate-adaptive nature-based solution: A framework for implementation in Latin America and the Caribbean 作为气候适应性自然解决方案的城市和城郊农业:拉丁美洲和加勒比地区实施框架
IF 6.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-01-06 DOI: 10.1016/j.ufug.2026.129261
Ana Maria Bertolini , Gabriela Di Giulio , Matilda van den Bosch
Climate change is intensifying the exposure of Latin American and Caribbean (LAC) cities to extreme events, increasing the need for effective adaptation strategies. Nature-based Solutions (NbS) are key instruments to cope with climate impacts, and urban and peri-urban agriculture (UPA) stands out for its multifunctionality, offering economic, social, health, and ecological co-benefits such as urban cooling, heat mitigation, improved nutrition, and enhanced well-being. Despite its potential, the inclusion of UPA within the NbS framework remains recent, and implementation is limited, often overlooking interactions among co-benefits and underexploring its contribution to climate adaptation. To address this gap, we developed a conceptual framework for implementing UPA as a NbS in LAC. It combines literature on NbS design and studies of UPA in LAC cities to ensure conceptual grounding and practical applicability. The framework is structured in three phases: (i) pre-implementation, focused on planning, stakeholder engagement, and enabling conditions; (ii) implementation, which supports UPA practices and promotes multifunctional co-benefits across health, social, economic, and ecological dimensions; and (iii) post-implementation, where ecological, social, and economic benefits reinforce climate adaptation and urban resilience. Governance and stakeholder engagement are crucial throughout. Case studies show that although UPA initiatives often originate to address immediate needs such as food security, they generate broader adaptation-relevant outcomes, including microclimate regulation, strengthened social networks, and enhanced biodiversity. These findings highlight the adaptive capacity embedded in UPA systems and their potential to complement or reduce dependence on grey infrastructure. The framework synthesizes these insights and provides actionable guidance for policymakers seeking to incorporate multifunctional NbS into urban planning in LAC.
气候变化正在加剧拉丁美洲和加勒比(LAC)城市对极端事件的暴露,增加了对有效适应战略的需求。基于自然的解决方案(NbS)是应对气候影响的关键工具,城市和城郊农业(UPA)以其多功能而脱颖而出,提供经济、社会、健康和生态的协同效益,如城市制冷、热量缓解、改善营养和提高福祉。尽管UPA具有潜力,但将其纳入国家统计局框架的时间并不长,实施也很有限,往往忽视了共同利益之间的相互作用,对其对气候适应的贡献探索不足。为了解决这一差距,我们开发了一个概念性框架,将UPA作为LAC中的NbS来实施。它结合了NbS设计的文献和拉丁美洲城市UPA的研究,以确保概念基础和实际适用性。该框架分为三个阶段:(i)实施前,侧重于规划、利益攸关方参与和有利条件;(二)实施,支持统一进步方案的做法,促进卫生、社会、经济和生态各方面的多功能协同效益;(三)实施后,生态、社会和经济效益增强了气候适应能力和城市韧性。治理和涉众参与在整个过程中至关重要。案例研究表明,尽管UPA倡议通常是为了解决粮食安全等紧迫需求,但它们产生了更广泛的适应相关成果,包括小气候调节、加强社会网络和增强生物多样性。这些发现突出了UPA系统中嵌入的适应能力,以及它们补充或减少对灰色基础设施依赖的潜力。该框架综合了这些见解,并为寻求将多功能国家统计局纳入拉丁美洲和加勒比地区城市规划的政策制定者提供了可操作的指导。
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引用次数: 0
Revealing park visitation under dual environmental threats in a socially stratified city: Evidence from smartphone mobility data in Dallas 揭示社会分层城市中双重环境威胁下的公园游客:来自达拉斯智能手机移动数据的证据
IF 6.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-01-05 DOI: 10.1016/j.ufug.2026.129264
Wenjing Gong , Ling Wu , Chunwu Zhu , Yang Song , Xinyue Ye
Urban parks are pivotal to residents’ physical activity and health promotion. Yet, few studies have explored how environmental threats, ranging from the physical (extreme weather) to the social (violent crime), collectively shape park use, nor have they considered the divergent risk exposures of parks situated in diverse socioeconomic contexts. Taking Dallas, USA, as a case study, we integrate large-scale smartphone mobility data, place-based high-resolution extreme weather metrics, and geocoded violent crime records, and apply an interpretable machine learning framework (BO-LightGBM-SHAP) to uncover the differentiated associational patterns of park visitor volume across neighborhoods with varying poverty levels. Results reveal that parks in high-poverty-rate neighborhoods, while bearing the greatest climate-safety risks, exhibit the highest weekly average visitor volumes among all groups, indicating their essential infrastructure role. The determinants of visitation vary markedly along the poverty gradient: parks in high-poverty-rate areas are most sensitive to the dual environmental risks; visitation in medium-poverty-rate areas shows strong threshold effects related to parks’ physical attributes and accessibility; and usage in low-poverty-rate communities is governed primarily by internal socioeconomic structure. Furthermore, extreme heat and precipitation exert context-dependent, non-linear effects on visitor volume, while extreme cold acts as a uniform deterrent across all communities. Violent crime shows a threefold heterogeneity in its association with park visitation across crime type, time lag, and poverty context. These findings highlight the need for urban planning to adopt locally tailored strategies that integrate climate adaptation and public-safety considerations, providing actionable guidance for building more equitable and resilient urban park systems.
城市公园对居民的身体活动和促进健康至关重要。然而,很少有研究探讨环境威胁,从物理(极端天气)到社会(暴力犯罪),如何共同影响公园的使用,也没有考虑到不同社会经济背景下公园的不同风险暴露。以美国达拉斯为例,我们整合了大规模智能手机移动数据、基于地点的高分辨率极端天气指标和地理编码的暴力犯罪记录,并应用可解释的机器学习框架(BO-LightGBM-SHAP)来揭示不同贫困水平社区公园游客数量的差异关联模式。结果表明,高贫困率社区的公园虽然承担最大的气候安全风险,但在所有群体中表现出最高的周平均游客量,表明其重要的基础设施作用。游客的决定因素在不同的贫困梯度上存在显著差异:高贫困率地区的公园对双重环境风险最为敏感;中等贫困率地区的游客数量表现出与公园物理属性和可达性相关的较强阈值效应;低贫困率社区的使用主要受内部社会经济结构的支配。此外,极端高温和降水对游客数量产生了依赖于环境的非线性影响,而极端寒冷对所有社区都起到了统一的威慑作用。在犯罪类型、时间滞后和贫困背景下,暴力犯罪与公园游客的关系呈现出三重异质性。这些发现突出表明,城市规划需要采取因地制宜的战略,将气候适应和公共安全考虑结合起来,为建设更公平、更有弹性的城市公园系统提供可操作的指导。
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Urban Forestry & Urban Greening
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