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Walk Score Transportation Mode Choice and Walking Among French Adults: A GPS Accelerometer and Mobility Survey Study

机译:步行分数交通方式选择和法国成年人的步行:GPS加速度计和移动性调查研究

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摘要

Background: Few studies have used GPS data to analyze the relationship between Walk Score, transportation choice and walking. Additionally, the influence of Walk Score is understudied using trips rather than individuals as statistical units. The purpose of this study is to examine associations at the trip level between Walk Score, transportation mode choice, and walking among Paris adults who were tracked with GPS receivers and accelerometers in the RECORD GPS Study. Methods: In the RECORD GPS Study, 227 participants were tracked during seven days with GPS receivers and accelerometers. Participants were also surveyed with a GPS-based web mapping application on their activities and transportation modes for all trips (6969 trips). Walk Score, which calculates neighborhood walkability, was assessed for each origin and destination of every trip. Multilevel logistic and linear regression analyses were conducted to estimate associations between Walk Score and walking in the trip or accelerometry-assessed number of steps for each trip, after adjustment for individualeighborhood characteristics. Results: The mean overall Walk Scores for trip origins were 87.1 (SD = 14.4) and for trip destinations 87.1 (SD = 14.5). In adjusted trip-level associations between Walk Score and walking only in the trip, we found that a walkable neighborhood in the trip origin and trip destination was associated with increased odds of walking in the trip assessed in the survey. The odds of only walking in the trip were 3.48 (95% CI: 2.73 to 4.44) times higher when the Walk Score for the trip origin was “Walker’s Paradise” compared to less walkable neighborhoods (Very/Car-Dependent or Somewhat Walkable), with an identical independent effect of trip destination Walk Score on walking. The number of steps per 10 min (as assessed with accelerometry) was cumulatively higher for trips both originating and ending in walkable neighborhoods (i.e., “Very Walkable”). Conclusions: Walkable neighborhoods were associated with increases in walking among adults in Paris, as documented at the trip level. Creating walkable neighborhoods (through neighborhood design increased commercial activity) may increase walking trips and, therefore, could be a relevant health promotion strategy to increase physical activity.
机译:背景:很少有研究使用GPS数据来分析步行分数,交通选择和步行之间的关系。此外,使用行程而不是个人作为统计单位来研究步行得分的影响。这项研究的目的是检查在RECORD GPS研究中使用GPS接收器和加速度计跟踪的巴黎成年人中步行得分,交通方式选择和步行之间的关联。方法:在RECORD GPS研究中,在7天之内使用GPS接收器和加速度计跟踪了227名参与者。还使用基于GPS的Web制图应用程序对参与者进行了调查,以了解其所有行程(6969次行程)的活动和交通方式。针对每次旅行的每个起点和终点,评估计算邻里可步行性的步行分数。在调整了个人/社区特征之后,进行了多级逻辑和线性回归分析,以估计步行得分与旅程中的步行之间的关联,或者通过每次行程的加速度计评估的步数进行估计。结果:旅行起点的平均总体步行得分为87.1(SD = 14.4),旅行终点的平均总体Walk Score为87.1(SD = 14.5)。在步行得分和仅在旅途中的步行之间的调整后的旅程级别关联中,我们发现,在旅程起点和目的地中的可步行邻里与调查中评估的步行机会增加相关。当旅行起点的步行得分为“步行者天堂”时,仅步行的几率比步行较少的社区(非常/汽车依赖或有点步行)高3.48倍(95%CI:2.73至4.44),与旅行目的地步行得分对步行的相同独立影响。在可步行社区(即“非常可步行”)中出行和结束的行程,每10分钟的步数(通过加速度计评估)累计较高。结论:如旅行记录所示,可步行的社区与巴黎成年人步行的增加相关。创建步行社区(通过社区设计增加商业活动)可能会增加步行次数,因此可能是增加身体活动的相关健康促进策略。

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