Institute of Environmental Design and Engineering, Bartlett School of Environment, Energy and Resources, University College London, Central House, 14 Upper Woburn Place, London, WC1H 0NN, UK.
Building Research Establishment, Bucknalls Lane, Garston, Hertfordshire, WD25 9XX, UK.
J Urban Health. 2018 Oct;95(5):613-646. doi: 10.1007/s11524-018-0228-8.
Urban health indicator (UHI) tools provide evidence about the health impacts of the physical urban environment which can be used in built environment policy and decision-making. Where UHI tools provide data at the neighborhood (and lower) scale they can provide valuable information about health inequalities and environmental deprivation. This review performs a census of UHI tools and explores their nature and characteristics (including how they represent, simplify or address complex systems) to increase understanding of their potential use by municipal built environment policy and decision-makers. We searched seven bibliographic databases, four key journals and six practitioner websites and conducted Google searches between January 27, 2016 and February 24, 2016 for UHI tools. We extracted data from primary studies and online indicator systems. We included 198 documents which identified 145 UHI tools comprising 8006 indicators, from which we developed a taxonomy. Our taxonomy classifies the significant diversity of UHI tools with respect to topic, spatial scale, format, scope and purpose. The proportions of UHI tools which measure data at the neighborhood and lower scale, and present data via interactive maps, have both increased over time. This is particularly relevant to built environment policy and decision-makers, reflects growing analytical capability and offers the potential for improved understanding of the complexity of influences on urban health (an aspect noted as a particular challenge by some indicator producers). The relation between urban health indicators and health impacts attributable to modifiable environmental characteristics is often indirect. Furthermore, the use of UHI tools in policy and decision-making appears to be limited, thus raising questions about the continued development of such tools by multiple organisations duplicating scarce resources. Further research is needed to understand the requirements of built environment policy and decision-makers, public health professionals and local communities regarding the form and presentation of indicators which support their varied objectives.
城市健康指标 (UHI) 工具提供了有关物理城市环境对健康影响的证据,可用于制定建筑环境政策和决策。在 UHI 工具提供邻里(及以下)尺度数据的地方,它们可以提供有关健康不平等和环境剥夺的有价值信息。本综述对 UHI 工具进行了普查,并探讨了它们的性质和特征(包括它们如何表示、简化或解决复杂系统),以增加城市建筑环境政策和决策者对其潜在用途的理解。我们在 2016 年 1 月 27 日至 2 月 24 日期间在七个文献数据库、四个主要期刊和六个从业者网站上进行了搜索,并在 Google 上进行了搜索,以查找 UHI 工具。我们从主要研究和在线指标系统中提取数据。我们共纳入了 198 篇文献,这些文献确定了 145 种 UHI 工具,包含 8006 个指标,并在此基础上开发了一个分类法。我们的分类法根据主题、空间尺度、格式、范围和目的对 UHI 工具的显著多样性进行了分类。用于测量邻里及以下尺度数据并通过交互式地图呈现数据的 UHI 工具的比例都随着时间的推移而增加。这对于城市建筑环境政策和决策者特别重要,反映了分析能力的不断提高,并为更好地理解影响城市健康的复杂性提供了潜力(一些指标制定者认为这是一个特别具有挑战性的方面)。城市健康指标与可改变环境特征对健康影响之间的关系通常是间接的。此外,UHI 工具在政策和决策中的应用似乎受到限制,因此,多个组织在开发此类工具方面投入了稀缺资源,这引发了一些问题。需要进一步研究,以了解城市建筑环境政策和决策者、公共卫生专业人员以及地方社区对支持其不同目标的指标的形式和展示的要求。
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