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The Role of Street Network Pattern in Daily VMT: A Behavioral Analysis of a National Road User Study Participants

机译:街道网络模式在日常VMT中的作用:国家道路用户学习参与者的行为分析

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This paper investigates how street network pattern influences daily VMT at an individual level based on the data from a national road user study, which recruited over 2,800 participants over a two-year period. The street network pattern within a 0.5-mi radius of each participant's residence is measured in three dimensions using ArcGIS: connectivity, compactness and configuration. The relationship between daily VMT, which is grouped into work-related and nonwork-related, and quantified street network pattern is captured with descriptive statistic techniques. In addition, the effect of each street network pattern dimension on daily driving is estimated by using multilevel mixed effect modeling when some demographic and socio-economic factors such as income, age, gender and education level are controlled.
机译:本文调查了街道网络模式如何在基于国家道路用户学习的数据的个人级别影响每日VMT,该数据在两年期间招募了超过2,800名参与者。每个参与者住宅的0.5英尺半径内的街道网络模式在三维中使用ArcGIS测量:连接,紧凑性和配置。通过描述性统计技术捕获每日VMT之间的关系,分为与工作有关和非工作相关的和量化的街道网络模式。此外,通过使用多级混合效果建模,在控制诸如收入,年龄,性别和教育水平之类的人口统计和社会经济因素,估算各种街道网络模式维度对日常驾驶的影响。

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