CN 11-5366/S     ISSN 1673-1530
“风景园林,不只是一本期刊。”

公共健康促进功能的绿色基础设施研究进展与展望

Research Progress and Prospect of Green Infrastructure with Public Health Promotion Function

  • 摘要:
    目的 绿色基础设施(green infrastructure, GI)在不同尺度下对公共健康有广泛而深远的影响,系统回顾GI,探索对公共健康的影响路径,可以更好地促进国内体系化研究的发展和以公共健康为导向的GI设计与规划。
    方法 采用文献综述法,参考“系统综述和Meta分析首选报告项目”(PRISMA)指南,最终纳入77篇符合纳入与排除标准的研究,运用基于词嵌入技术(Word2Vec)的K-means聚类分析对既往研究的GI特征进行归纳,从作用途径、健康结果、公共健康维度及作用尺度对GI的类型及其与公共健康的关联进行分类和总结。
    结果 1)GI依据不同特征划分为8类,包括城市绿地及公园、高互动性GI、建成区树木、雨水管理与生物过滤GI、社区与住宅绿化绿色屋顶及外墙、线性分布GI和广义定义GI。2)每类GI通过不同的作用路径显著促进生理、心理和社会性健康。3)揭示了GI与公共健康研究的发展历程,包括了初始期、探索期、繁荣期和嬗变期4个阶段。4)总结了10种GI促进公共健康的路径,3种反向路径。
    结论 需要完善GI的分类体系以及作用尺度,推动从概念到工具集的转化,并促进人们对其复合健康促进功能的认知,从而将GI有效应用于公共健康领域。建议加强跨学科合作和理论整合,进一步探索GI在促进公共健康方面的机制,推动GI在公共健康促进能力上的系统性评估,从而为实践应用提供保障。

     

    Abstract:
    Objective This research aims to explore and elucidate pathways through which green infrastructure (GI) promotes public health by constructing an integrative framework that integrates various GI types with their roles in enhancing physiological, psychological, and social well-being. Recognizing the importance of GI in urban planning to integrate natural and built environments for improving citizens’ daily life, this research addresses challenges such as fragmented classification systems, limited analysis of action pathways, and ambiguity in scale adaptation. The main objectives are to systematically classify GI types, track the development of related research, and describe the positive and negative mechanisms by which GI affects public health.
    Methods A systematic review approach modelled on the PRISMA guidelines is used to collect and analyze literature from multiple disciplines including medicine, environmental sciences, and architecture. Comprehensive search is conducted in databases such as Web of Science, PubMed, Scopus, and EBSCO using a broad range of search terms related to GI and public health without time restrictions. After rigorous screening based on predefined inclusion and exclusion criteria, 77 relevant research articles are selected for detailed analysis. Data extraction focused on various dimensions, including specific GI types, action pathways, health outcomes, public health dimensions (physiological, psychological and social dimensions), spatial scales, and research subjects. To manage the multidimensionality of GI research, cluster analysis is performed using a Word2Vec model combined with a K-means algorithm to integrate different GI forms into a coherent classification system.
    Results The results show that GI can be clearly divided into different categories, such as urban green spaces and parks, high-interaction spaces, trees in built-up areas, water management and biofiltration systems, community and residential greening, green roofs and facades, linear green networks, and broader macro-GI strategies. The historical development of GI research can be divided into four stages: Initial stage (2002 – 2011), during which the research focus was on thermal comfort and air quality improvement; exploration stage (2012 – 2017), during which the research scope was expanded to include disease prevention and social cohesion; prosperity stage (2018 – 2021), during which multidimensional health outcomes were integrated; and transformation stage (2022 – 2025), during which advanced technologies such as GIS, remote sensing, and machine learning were utilized. In addition, the research identifies positive pathways for GI to promote physical activity, regulate microclimate, enhance aesthetic and biodiversity benefits, and improve water quality. However, it also acknowledges potential negative effects, such as serving as habitats for disease vectors and releasing allergens that may exacerbate respiratory diseases.
    Conclusion This research systematically outlines the multifaceted role of GI in public health, highlighting the need for a standardized GI health service framework that integrates various GI types with specific health outcomes and spatial scales. Such a framework could significantly enhance urban planning and policy-making by optimizing GI interventions to provide the most significant public health benefits. The findings advocate further interdisciplinary collaboration and integration of advanced data analytics to deepen our understanding of GI health pathways. Future research should focus on quantifying these benefits and developing practical evaluations to provide targeted interventions, ultimately leading to more effective public health strategies in urban settings.

     

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