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Statistical and activity-based modeling of university student travel behavior

机译:基于统计和活动的大学生出行行为建模

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This paper conducts a statistical analysis of student travel behavior at Virginia Commonwealth University (VCU). The data source is the 'University NHTS' project launched by the Virginia Department of Transportation (VDOT) in 2009. Through this empirical study, it has been found that university student travel behavior is different from that of the general population; urban universities have lower percentages of nonmotorized trips than college-town universities; undergraduate students are likely to make more daily trips than graduate students -similarly, on-campus students make more frequent trips than off-campus students; the most frequent student activities are home and academic activities; and student group categories have virtually no impact on daily activity profiles, though activity types do have a dramatic impact on daily activity profiles. Based on these research findings, the paper makes a series of recommendations regarding trip generation, trip distribution, mode choice, and activity-based modeling.
机译:本文对弗吉尼亚联邦大学(VCU)的学生出行行为进行了统计分析。数据来源是由弗吉尼亚州交通运输部(VDOT)在2009年发起的“大学NHTS”项目。通过这项实证研究,我们发现大学生的出行行为与普通人群的出行行为不同。城市大学的非机动车出行比例低于大学城大学;与研究生相比,本科生每天的出行次数可能会更多-同样,校内学生的出行次数比校外的学生要多;学生活动最频繁的是家庭活动和学术活动;和学生组类别对日常活动档案几乎没有影响,尽管活动类型确实对日常活动档案有很大的影响。基于这些研究结果,本文针对行程生成,行程分布,模式选择和基于活动的建模提出了一系列建议。

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