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首页> 外文期刊>International journal of sustainable transportation >What drives sustainable student travel? Mode choice determinants in the Greater Toronto Area
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What drives sustainable student travel? Mode choice determinants in the Greater Toronto Area

机译:是什么推动可持续学生旅行?大多伦多地区的模式选择决定因素

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Examination of mode choice behavior is an important step in accurately predicting future travel demand. Despite having somewhat unique travel needs and challenges, there is a lack of knowledge in understanding the mode use behavior of university student population. The existing studies on university populations relied on a relatively smaller sample in investigating the behavior. Therefore, using world's largest university student's travel database, this study examines the factors affecting the mode choice behavior of a diverse university student population with student samples from four universities and their seven campuses located across the Greater Toronto Area (GTA) in Canada. Additionally, stratifying this diverse population using their attitudinal responses towards numerous travel modes, this study also estimates three additional mode choice models to obtain a more comprehensive understanding of how students in different markets, with different latent attitudes towards transportation, vary in terms of sustainable mode choice. A cluster analysis based on fourteen attitudinal responses, was conducted to stratify the sample whereas the popular multinomial logit approach was used to estimate the mode choice models. This study finds transit pass and bike ownership as important determinants that govern sustainable mode choice among the students in the region. The findings of this study could facilitate the sustainability offices at the four universities in making an informed policy decision in shifting the mode use behavior of students towards sustainable modes.
机译:检查模式选择行为是准确预测未来出行需求的重要步骤。尽管有一些独特的出行需求和挑战,但是缺乏了解大学生群体的使用方式行为的知识。现有的有关大学人口的研究在调查这种行为时依赖于相对较小的样本。因此,本研究使用全球最大的大学生旅行数据库,通过加拿大大多伦多地区(GTA)的四所大学及其七个校区的学生样本,研究了影响多样化大学生群体的模式选择行为的因素。此外,通过使用他们对多种出行方式的态度反应来对这一多样化的人群进行分层,本研究还估计了三种其他的方式选择模式,以便更全面地了解不同市场,对交通的潜在态度不同的学生在可持续方式方面的变化选择。进行了基于十四种态度反应的聚类分析,以对样本进行分层,而流行的多项式logit方法用于估计模式选择模型。这项研究发现,公交通行证和自行车拥有权是决定该地区学生可持续模式选择的重要决定因素。这项研究的结果可以帮助四所大学的可持续发展办公室在将学生的模式使用行为转变为可持续模式方面做出明智的政策决策。

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