邻域紊乱虚拟审计工具:一种有效可靠的五项物理邻域紊乱测量方法。

IF 1.7 Q3 PSYCHOLOGY
Elizabeth A Shewark, S Alexandra Burt, C J Sivak, Amber L Pearson
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引用次数: 0

摘要

邻里身体障碍与有害的居民身心健康有关。因此,开发低成本、可靠的方法,利用公开可用的图像(例如谷歌街景;GSV)来全面审计社区是至关重要的。我们的目标是创建一个可靠、高效、规模灵活的社区混乱虚拟审计(邻里混乱的地段评估;LAND),可以聚合到更大的地理单位。我们对密歇根州底特律市355个街区的710个街区面进行了编码。我们在20%的样本(71个街区(即街道的两侧))上测试了编码员之间的可靠性;146个街区面(即街道的一侧),并且在单个地段(Kappas范围从。60 - 1),块面(icc范围从。94 - 0.98)和段(ICCs范围从0.96 - 0.98)水平,唯一的例外是涂鸦(ICCs通常在。56到。57范围)。此外,LAND的得分与空地数量、面积剥夺和居民对其社区的看法呈正相关。总体而言,LAND证明了比以前的物理邻里障碍虚拟审计更高的可靠性水平,并证明了物理邻里障碍的几个已知相关因素之间的显著相关性,从而突出了LAND作为物理邻里障碍研究中有效的虚拟审计工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Lot Assessment of Neighborhood Disorder Virtual Audit Tool: A Valid and Reliable Five-Item Physical Neighborhood Disorder Measure.

Neighborhood physical disorder is linked to deleterious resident physical and mental health. It is thus critical to develop low-cost, reliable methods that utilize publicly available imagery (e.g., Google Street View; GSV) to comprehensively audit neighborhoods. We aimed to create a reliable, efficient, and scale-flexible virtual audit of neighborhood disorder (Lot Assessment of Neighborhood Disorder; LAND) that can be aggregated to larger geographical units. A total of 710 block faces on 355 street segments were coded in Detroit, MI. We tested reliability between coders on 20% of the sample (71 segments (i.e., two sides of the street); 146 block faces (i.e., one side of the street) and found reliability was adequate at the individual lot (Kappas ranged from .60 - 1), block face (ICCs ranged from .94 -.98), and segment (ICCs ranged from .96-.98) levels, with the sole exception of graffiti (for which ICCs were typically in the .56 to .57 range). Moreover, LAND's score was positively correlated with number of vacant lots, area deprivation, and resident perceptions of their neighborhood. Overall, LAND evidence higher levels of reliability than previous physical neighborhood disorder virtual audits and evidenced significant correlations across several known correlates of physical neighborhood disorder, thus highlighting LAND as an effective virtual audit tool in the study of physical neighborhood disorder.

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CiteScore
1.80
自引率
0.00%
发文量
40
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