首页> 外文会议>Annual meeting of the transportation research board >UNDERSTANDING VARIABILITY, HABIT AND THE EFFECT OF LONG PERIOD ACTIVITY PLAN IN MODAL CHOICES: A DAY TO DAY, WEEK TO WEEK ANALYSIS ON PANEL DATA
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UNDERSTANDING VARIABILITY, HABIT AND THE EFFECT OF LONG PERIOD ACTIVITY PLAN IN MODAL CHOICES: A DAY TO DAY, WEEK TO WEEK ANALYSIS ON PANEL DATA

机译:了解变化,习惯和长期活动计划在模态选择中的效果:每日到一天,一周到一周的面板数据分析

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Understanding variability in individual behaviour is crucial for the comprehension of travel patterns and for the development and evaluation of planning policies. In the last 30 years a vast body of research has approached the issue in a variety of ways, but there are no studies on the intrinsic variability in the individual preferences for mode choices in absence of external changes (or shocks) in the transportation infrastructures (i.e. introduction of new modes or major reorganization of the transportation system). This requires using continuous panel data. Few papers have studied mode choice with continuous panel data but mainly focused on the panel correlation. In this work we use a six-week travel diary survey to study the intrinsic variability in the individual preferences for mode choices, the effect of long period plans and habitual behaviour in the daily mode choices. Mixed logit models are estimated that account for the above effects as well as for systematic and random heterogeneity over individual preferences and responses. We also account for correlation over several time periods. Our results suggest that individual tastes for time and cost are fairly stable but there is a significant systematic and random heterogeneity around these mean values and in the preferences for the different alternatives. We found that there is a strong inertia effect in mode choice that increases with (or is reinforced by) the number of time the same tour is repeated. The sequence of mode choice made is influenced by the duration of the activity and the weekly structure of the activities. Finally, models improve significantly when panel correlation is accounted for. But it seems that inertia can explain to some extent for panel effect.
机译:了解个人行为的可变性对于对旅行模式的理解和制定和评估规划政策来说至关重要。在过去的30年里,巨大的研究已经以各种方式接近了这个问题,但没有关于在运输基础设施中没有外部变化(或冲击)在没有外部变化(或冲击)中的个人偏好中的内在变异性(即引入交通系统的新模式或重大重组)。这需要使用连续面板数据。很少有论文已经使用连续面板数据研究了模式选择,但主要集中在面板相关性上。在这项工作中,我们使用六周的旅行日记调查来研究模式选择的个人偏好中的内在变化,在日常模式选择中的长期计划和惯常行为的影响。估计混合Logit模型估计用于上述效果以及对个体偏好和反应的系统和随机异质性。我们还会在几个时间段内进行相关性。我们的研究结果表明,各个味道的时间和成本相当稳定,但在这些平均值和不同替代方案的偏好中存在显着的系统性和随机的异质性。我们发现在模式选择中存在强烈的惯性效应,其在重复同一游览的时间次数增加(或增强)。所做的模式选择序列受活动持续时间和活动的每周结构的影响。最后,当占面板相关时,模型显着提高。但似乎惯性可以在一定程度上解释面板效应。

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