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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:理解模态选择中的变异性,习惯和长期活动计划的影响:每天,每天,每周对面板数据进行分析

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Understanding variability in individual behaviour is crucial for the comprehension of travel patternsand for the development and evaluation of planning policies. In the last 30 years a vast body ofresearch has approached the issue in a variety of ways, but there are no studies on the intrinsicvariability in the individual preferences for mode choices in absence of external changes (or shocks) inthe transportation infrastructures (i.e. introduction of new modes or major reorganization of thetransportation system). This requires using continuous panel data. Few papers have studied modechoice with continuous panel data but mainly focused on the panel correlation. In this work we use asix-week travel diary survey to study the intrinsic variability in the individual preferences for modechoices, the effect of long period plans and habitual behaviour in the daily mode choices. Mixed logitmodels are estimated that account for the above effects as well as for systematic and randomheterogeneity over individual preferences and responses. We also account for correlation over severaltime periods. Our results suggest that individual tastes for time and cost are fairly stable but there is asignificant systematic and random heterogeneity around these mean values and in the preferences forthe different alternatives. We found that there is a strong inertia effect in mode choice that increaseswith (or is reinforced by) the number of time the same tour is repeated. The sequence of mode choicemade 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 canexplain to some extent for panel effect.
机译:了解个人行为的变异性对于理解出行方式至关重要 以及制定和评估计划政策。在过去的30年中, 研究已经以多种方式解决了这个问题,但是没有关于内在因素的研究。 在没有外部变化(或冲击)的情况下,模式选择的个人偏好的可变性 交通基础设施(即采用新的模式或对航空公司进行重大重组) 运输系统)。这需要使用连续的面板数据。很少论文研究过模式 连续面板数据的选择,但主要集中在面板相关性上。在这项工作中,我们使用 六周旅行日记调查,以研究个人对模式的偏好的内在变异性 选择,长期计划的影响以及日常模式选择中的习惯行为。混合登录 估算模型可以说明上述影响以及系统性和随机性 个人偏好和反应的异质性。我们还考虑了以下几个方面的相关性 时间段。我们的结果表明,个人在时间和成本上的品味相当稳定,但是有一个 在这些平均值附近以及在偏好中存在明显的系统性和随机性异质性 不同的选择。我们发现模式选择中有很强的惯性效应,这种惯性效应会增加 重复相同巡回演出的次数(或增加)。模式选择顺序 活动的持续时间和活动的每周结构会影响制作的内容。最后, 考虑面板相关性后,模型会显着改善。但是似乎惯性可以 在一定程度上解释面板效应。

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