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Characterizing community-wide housing attributes using georeferenced street-level photography.
Journal of Exposure Science and Environmental Epidemiology ( IF 4.1 ) Pub Date : 2019-09-23 , DOI: 10.1038/s41370-019-0167-9
Zoe E Petropoulos 1 , Jonathan I Levy 1 , Madeleine K Scammell 1 , M Patricia Fabian 1
Affiliation  

New methods are needed to efficiently characterize built environment attributes and residential behaviors to improve exposure assessment in epidemiologic research, given limitations of available databases and approaches. Window-opening and presence of air conditioning (AC) units predict indoor air quality and thermal comfort, but data are not widely available. In this study, we tested the utility of a GIS-based tool for rapidly assessing open windows and window/wall AC units in the city of Chelsea, Massachusetts using georeferenced street-level photographs and crowdsourced online surveys. We characterized open windows and window/wall AC units for 969 parcels in the winter and 1213 parcels in the summer, requiring ~40 person hours per season. In the winter, 21% of parcels surveyed had a window or wall AC unit and 19% had an open window. In the summer, 69% had a window or wall AC unit and 53% had an open window. We demonstrated an efficient method for rapidly characterizing open windows and window/wall AC units across an entire city. This tool can help to characterize exposures for epidemiological research, engage community members, and inform local land use planning and decision-making.

中文翻译:


使用地理参考街道摄影来表征社区范围内的住房属性。



鉴于现有数据库和方法的局限性,需要新的方法来有效地表征建筑环境属性和居住行为,以改进流行病学研究中的暴露评估。窗户的打开和空调(AC)装置的存在可以预测室内空气质量和热舒适度,但数据并不广泛可用。在这项研究中,我们使用地理参考街道照片和众包在线调查测试了基于 GIS 的工具的实用性,该工具可快速评估马萨诸塞州切尔西市的打开窗户和窗户/墙壁空调装置。我们在冬季对 969 个地块和夏季对 1213 个地块采用了开窗和窗/墙式空调装置,每个季节需要约 40 个人工时。在冬季,21% 的受访地块有窗户或墙壁空调装置,19% 的地块开着窗户。在夏季,69% 的人拥有窗户或墙壁空调,53% 的人拥有开着的窗户。我们展示了一种快速表征整个城市的开窗和窗/墙空调机组特征的有效方法。该工具可以帮助描述流行病学研究的暴露特征,吸引社区成员,并为当地土地利用规划和决策提供信息。
更新日期:2019-09-23
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