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利用谷歌地球进行邻里审计:虚拟审计工具的可靠性。

Using Google Earth to conduct a neighborhood audit: reliability of a virtual audit instrument.

机构信息

Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.

出版信息

Health Place. 2010 Nov;16(6):1224-9. doi: 10.1016/j.healthplace.2010.08.007. Epub 2010 Aug 11.

DOI:10.1016/j.healthplace.2010.08.007
PMID:20797897
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2952684/
Abstract

Over the last two decades, the impact of community characteristics on the physical and mental health of residents has emerged as an important frontier of research in population health and health disparities. However, the development and evaluation of measures to capture community characteristics is still at a relatively early stage. The purpose of this work was to assess the reliability of a neighborhood audit instrument administered in the city of Chicago using Google Street View by comparing these "virtual" data to those obtained from an identical instrument administered "in-person". We find that a virtual audit instrument can provide reliable indicators of recreational facilities, the local food environment, and general land use. However, caution should be exercised when trying to gather more finely detailed observations. Using the internet to conduct a neighborhood audit has the potential to significantly reduce the costs of collecting data objectively and unobtrusively.

摘要

在过去的二十年中,社区特征对居民身心健康的影响已成为人口健康和健康差异研究的一个重要前沿领域。然而,用于捕捉社区特征的措施的开发和评估仍处于相对早期的阶段。这项工作的目的是评估使用谷歌街景在芝加哥市进行的邻里审计工具的可靠性,方法是将这些“虚拟”数据与通过相同工具进行的“实地”调查获得的数据进行比较。我们发现,虚拟审计工具可以为娱乐设施、当地食品环境和一般土地利用提供可靠的指标。然而,在尝试收集更详细的观察结果时应谨慎行事。使用互联网进行邻里审计具有显著降低客观和不引人注目的数据收集成本的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d2a/2952684/f3f9912634c1/nihms229030f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d2a/2952684/b9735cbc21b5/nihms229030f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d2a/2952684/f3f9912634c1/nihms229030f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d2a/2952684/b9735cbc21b5/nihms229030f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d2a/2952684/f3f9912634c1/nihms229030f2.jpg

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