首页> 外文学位 >BEST MoveS: The Built Environment Space-Time MOVEment Study A Framework for Objective Measurement of Behavior, Movement and Exposure in Urban Environments.
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BEST MoveS: The Built Environment Space-Time MOVEment Study A Framework for Objective Measurement of Behavior, Movement and Exposure in Urban Environments.

机译:最佳举动:建筑环境时空运动研究一个客观测量城市环境中行为,运动和暴露的框架。

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摘要

Exposure to features of the built environment is commonly theorized to affect important health-related behaviors and conditions, such as active transportation and access to healthy foods. However, built environment has generally been measured solely within proximity of the home location. This research provides a method for measuring and summarizing environmental properties for the complete space-time realm of experience using high resolution objective data on environment and behavior. A convenience sample of fifty-one subjects was enrolled in a one week cross-sectional study, in which individual movements and activity during waking hours were tracked at a one second interval using a novel multi-sensing device that included a GPS receiver/data logger. Subjects also completed a sociodemographic survey as well as the International Physical Activity Questionnaire, a self-report based instrument for estimating physical activity levels. The characteristics of their sensed location traces were obtained using a newly developed set of analytical raster data sets known as SmartMaps, which represented spatially continuous measures of localized neighborhood values for variables within the built environment domains of neighborhood structure; utilitarian destinations; recreation; transportation and traffic; and land use composition and configuration.;Three basic movement types were identified: dwells (places where no movement occurred across XY space), trips (traces that represented movement across XY space), and stops (relatively brief non-moving intervals within trips). Characteristics of different built environment variables were found to differ significantly for traces sensed at home vs. non-home locations, for trips vs. dwells, for short distance vs. long distance trips, and for fast vs. slow trips. Built environment characteristics did not differ by overall levels of self-reported physical activity.;This research shows that environmental characteristics differ for home and non-home locations and for a variety of movement types. Given the amount of time that is spent away from home, estimates of the effects of environment on behavior should include not only built environment measures near home, but measures of environment for the entire realm of movement through space and time. To address this need, this research presents an operationalized method for linking objective measures of localized environment and behavior through space and time.
机译:从理论上讲,接触建筑环境的特征会影响与健康有关的重要行为和条件,例如积极运输和获取健康食品。但是,通常仅在家庭位置附近测量建筑环境。这项研究提供了一种方法,可以使用有关环境和行为的高分辨率客观数据来测量和总结完整的时空体验环境特征。在一个为期一周的横断面研究中,对五十一个受试者的便利样本进行了研究,其中使用包括GPS接收器/数据记录器的新型多感应设备,以一秒钟的间隔跟踪了醒着时间的个人运动和活动。 。受试者还完成了一项社会人口统计学调查以及《国际体育锻炼问卷》,这是一种基于自我报告的体育锻炼水平估算工具。使用一组新开发的称为SmartMap的分析栅格数据集获得了它们感测到的位置轨迹的特征,该数据集代表了在邻域结构的构建环境域中变量的局部邻域值的空间连续测量;功利目的地;娱乐;交通运输;确定了三种基本的运动类型:停留(在XY空间中没有运动的地方),行程(代表在XY空间中运动的轨迹)和停止(行程中相对短暂的非运动间隔) 。发现在住宅与非住宅位置,行程与停顿,短距离与长距离行程以及快速与慢速行程中,不同建筑环境变量的特性差异很大。建筑物的环境特征在自我报告的体育活动的总体水平上没有差异。这项研究表明,住宅和非住宅位置以及各种运动类型的环境特征都不同。考虑到花费在外的时间,对环境对行为的影响的估计不仅应包括在家附近的建筑环境措施,还应包括整个空间和时间移动领域的环境措施。为了满足这一需求,本研究提出了一种可操作的方法,用于通过时空将局部环境和行为的客观度量联系起来。

著录项

  • 作者

    Hurvitz, Philip M.;

  • 作者单位

    University of Washington.;

  • 授予单位 University of Washington.;
  • 学科 Urban planning.;Geographic information science and geodesy.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 237 p.
  • 总页数 237
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:37:10

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