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Invited Commentary: Observing Neighborhood Physical Disorder in an Age of Technological Innovation

机译:邀请评论:在技术创新时代观察邻里身体障碍

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Researchers across several disciplines have argued that the characteristics of neighborhood environments can affect a variety of individual-and neighborhood-level outcomes. Physical disorder is one feature of neighborhoods that scholars have argued is important, but data that capture physical disorder have been limited because of the time and resources required for in-person audits. The advent of Google Street View, which provides publicly available street-level imagery with nearly complete coverage of the United States, opens new possibilities for researchers. In this issue of the Journal, Mooney et al. (Am J Epidemiol. 2017; 186(3): 265-273) compare in-person and virtual audits in Detroit, Michigan, and demonstrate that virtual audits offer key advantages to measuring neighborhood physical disorder over in-person audits, including substantial reductions in time and resources with little to no loss of measurement precision. In this invited commentary, I welcome the use of virtual audits for advancing the study of neighborhoods and outline areas in which they can advance understanding of neighborhood effects. I also describe areas of caution in their implementation and outline how new innovations can advance the use of virtual audits for furthering understanding of neighborhood environments.
机译:几个学科的研究人员认为,邻里环境的特征可能会影响各种个人和邻域级结果。物理障碍是学者认为的社区的一个特征是重要的,但由于网络审计所需的时间和资源,捕捉物理障碍的数据受到限制。 Google Street View的出现,提供了具有近乎完全覆盖美国的公开的街道级图像,为研究人员开辟了新的可能性。在这个期刊上,Mooney等人。 (AM Epiedemiol。2017年; 186(3):265-273)比较底特律,密歇根州的内在和虚拟审计,并证明虚拟审计能够在审计上衡量邻里物理障碍的关键优势,包括大幅减少在时间和资源中没有损失测量精度。在这份邀请的评论中,我欢迎使用虚拟审计来推进对社区和概要领域的研究,他们可以推进对邻里效应的理解。我还描述了在实施方面的谨慎领域,概述新的创新如何推进使用虚拟审计以进一步了解邻域环境。

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