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How much are built environments changing, and where?: Patterns of change by neighborhood sociodemographic characteristics across seven US metropolitan areas

机译:建筑环境在多大程度上发生变化?在哪里?:美国七个大都市地区按邻里人口统计特征所发生的变化模式

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Investments in neighborhood built environments could increase physical activity and overall health. Disproportionate distribution of these changes in advantaged neighborhoods could inflate health disparities. Little information exists on where changes are occurring. This paper aims to 1) identify changes in the built environment in neighborhoods and 2) investigate associations between high levels of change and sociodemographic characteristics. Using Geographic Information Systems, neighborhood land-use, local destinations (for walking, social engagement, and physical activity), and sociodemographics were characterized in 2000 and 2010 for seven U.S. cities. Linear and change on change models estimated associations of built environment changes with baseline (2000) and change (2010-2000) in sociodemographics. Spatial patterns were assessed using Global Moran's I to measure overall clustering of change and Local Moran's I to identify statistically significant clusters of high increases surrounded by high increases (HH). Sociodemographic characteristics were compared between HH cluster and other tracts using Analysis of Variance (ANOVA). We observed small land-use changes but increases in the destination types. Greater increases in destinations were associated with higher percentage non Hispanic whites, percentage households with no vehicle, and median household income. Associations were present for both baseline sociodemographics and changes over time. Greater increases in destinations were associated with lower baseline percentage over 65 but higher increases in percentage over 65 between 2000 and 2010. Global Moran's indicated changes were spatially clustered. HH cluster tracts started with a higher percentage non-Hispanic whites and higher percentage of households without vehicles. Between 2000 and 2010, HH cluster tracts experienced increases in percent non-Hispanic white, greater increases in median household income, and larger decreases in percent of households without a vehicle. Changes in the built environment are occurring in neighborhoods across a diverse set of U.S. metropolitan areas, but are patterned such that they may lead to increased health disparities over time. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在邻里环境中进行投资可以增加体育锻炼和整体健康状况。这些变化在优势社区的不均衡分布可能加剧健康差异。关于发生更改的地方的信息很少。本文旨在1)识别社区建筑环境中的变化,以及2)研究高水平变化与社会人口学特征之间的关联。使用地理信息系统,分别在2000年和2010年对美国七个城市的邻里土地使用,当地目的地(用于步行,社交活动和体育活动)和社会人口统计学进行了特征分析。线性模型和变更模型上的变化估计了建筑人口变化与社会人口统计学中基线(2000)和变化(2010-2000)的关联。使用全球Moran's I来评估变化的总体聚类,使用局部Moran's I来评估空间格局,以识别统计上显着的由高增长围绕高增长(HH)的集群。使用方差分析(ANOVA)比较了HH聚类和其他区域的社会人口统计学特征。我们观察到土地用途的变化很小,但目的地类型却有所增加。目的地的增加与非西班牙裔白人百分比,没有车辆的家庭百分比以及家庭收入中位数相关。基线社会人口统计学和随时间的变化都存在关联。在2000年至2010年之间,目的地数量的增加与65%以上的基线百分比较低相关,但与65岁以上的65%百分比较高比例相关。 HH集群区以非西班牙裔白人所占百分比较高以及没有车辆的家庭所占比例较高为开始。在2000年至2010年之间,HH集群地区的非西班牙裔白人所占百分比有所增加,家庭收入中位数的增加幅度更大,而没有车辆的家庭所占百分比的减少幅度更大。建筑环境的变化发生在美国各大都市区的各个社区中,但其变化规律可能导致随着时间的流逝导致健康差距的扩大。 (C)2016 Elsevier Ltd.保留所有权利。

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