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Assessing built environment walkability using activity-space summary measures

机译:使用活动空间汇总量度评估建筑环境的可步行性

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There is increasing emphasis on active transportation, such as walking, in transportation planning as a sustainable form of mobility and in public health as a means of achieving recommended physical activity and better health outcomes. A research focus is the influence of the built environment on walking, with the ultimate goal of identifying environmental modifications that invite more walking. A key issue is determining the spatial units for walkability measures so that they reflect potential walking behavior. This paper develops methods for assessing walkability within individual activity spaces: the geographic region accessible to an individual during a given walking trip. Based on objective walkability measures of the street blocks, we use three summary measures for walkability within activity spaces: i) the average walkability score across block segments, ii) the standard deviation, and iii) the network autocorrelation. We assess the method using data from an empirical study of built environment walkability and walking behavior in Salt Lake City, Utah. We visualize these activity-space summary measures to compare walkability among individuals’ trips within their neighborhoods. We also compare summary measures for activity spaces versus Census block groups, with the result that they agree less than half of the time.
机译:在交通规划中,作为一种可持续的出行方式,人们越来越重视主动步行等交通工具,在公共卫生中,人们也越来越重视这种活动,以实现建议的体育锻炼和更好的健康结果。研究重点是建筑环境对步行的影响,其最终目标是确定引起更多步行的环境变化。一个关键问题是确定步行量度的空间单位,以便它们反映潜在的步行行为。本文开发了评估单个活动空间内的步行能力的方法:在给定的步行旅行中个人可进入的地理区域。基于街道街区的客观步行量度,我们对活动空间内的步行度使用了三种汇总量度:i)跨街区段的平均步行度得分,ii)标准差和iii)网络自相关。我们使用对犹他州盐湖城建筑环境的可步行性和步行行为进行实证研究的数据评估该方法。我们将这些活动空间摘要度量可视化,以比较个人在其邻里旅行之间的步行能力。我们还比较了活动空间和人口普查区块组的汇总度量,结果是它们同意的时间少于一半。

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