Understanding where people walk and how the built environment influences walking is a priority in active living research. Most previous studies were limited by self-reported data on walking. In the present study, walking bouts were determined by integrating one week of accelerometry, GPS, and a travel log data among 675 adult participants in the baseline sample of the Travel Assessment and Community study. Home neighborhood was defined as being within 0.5 mi of each participants' residence (a 10-minute walk), with home neighborhood walking defined as walking bout lines with at least one GPS point within the home neighborhood. Home neighborhood walkability was constructed with seven built environment variables derived from spatially continuous objective values (SmartMaps). A Zero Inflated Negative Binomial (ZINB) served to estimate associations between home neighborhood environment characteristics and home neighborhood walking frequency. Higher residential density and job density were the two neighborhood walkability measures related to higher likelihood and more time walking in the home neighborhood, highest tertile residential density (22.44 - 62.63 unit/acre) (coefficient=1.434; 95th CI of 1.003, 2.049) and highest tertile job density (12.4 - 272.3 jobs/acre) (coefficient=1.616; 95th CI of 1.102, 2.370). The large proportion of walking that takes place in the home neighborhood highlights the importance of continuing to examine the impact of the home neighborhood environment on walking. Potential interventions to increase walking behavior may benefit from increasing residential and employment density within residential areas.

中文翻译：

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较高的居住和就业密度与更客观地测量家庭附近的步行有关。

了解人们步行的地点以及建筑环境如何影响步行是积极的生活研究的首要任务。之前的大多数研究都受到自我报告的步行数据的限制。在本研究中，步行次数是通过整合旅行评估和社区研究基线样本中 675 名成年参与者一周的加速度测量、GPS 和旅行日志数据来确定的。家庭邻里被定义为距离每位参与者住所 0.5 英里以内（步行 10 分钟），家庭邻里步行定义为在家庭邻里内至少有一个 GPS 点的绕行路线。家庭邻里的步行性是由七个来自空间连续目标值（智能地图）的建筑环境变量构建的。零膨胀负二项式（ZINB）用于估计家庭邻里环境特征和家庭邻里步行频率之间的关联。较高的居住密度和工作密度是与在家社区中步行的可能性较高和时间较长相关的两个社区步行性衡量指标，最高三分位数住宅密度（22.44 - 62.63 单位/英亩）（系数 = 1.434；95th CI 为 1.003、2.049）和最高的三分位工作密度（12.4 - 272.3 个工作岗位/英亩）（系数=1.616；95th CI 为 1.102、2.370）。大部分步行发生在家庭社区，凸显了继续研究家庭社区环境对步行影响的重要性。增加步行行为的潜在干预措施可能会受益于增加住宅区内的居住和就业密度。