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Temporal Effects in Adaptations of Daily Commuter Trip Choices in Response to Reward Scheme: A Panel Effects Mixed Logit Model Allowing for Covariance between Adaptation Strategies

机译:奖励计划对日常通勤出行选择的适应中的时间效应:允许适应策略之间协方差的面板效应混合Logit模型

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Several reward-scheme based projects have been implemented in the Netherlands,stimulating car users to avoid using certain links of the network during peak hours. Thispaper reports the findings of a model, which was formulated to analyze temporal effects ofthe Dutch SpitsScoren reward scheme. On the one hand, one might expect that rewardschemes lose their effectiveness over time as individuals tend to fall back in their old habits.On the other hand, by changing their routines, individuals may enjoy their new travelexperience, which in turn may lead to positive reinforcement and ultimately to new habitualbehavior. On balance, the impact of these opposite processes may work out differently fordifferent segments of travelers. To disentangle these effects, a panel effects mixed logitmodel, predicting the probability of applying different adaptation strategies, including theoption of no change, was estimated. Because the various strategies may be correlated, themodel also allows for covariance between the options. Results indicate that socio-economicand situational variables strongly affect travelers’ adaptation strategies. Moreover, theeffectiveness of the reward scheme changes over time and affects the various optionsdifferently. The estimated model also shows evidence of significant covariances betweenadaptation strategies.
机译:荷兰已实施了多个基于奖励计划的项目, 鼓励汽车用户避免在高峰时段使用网络的某些链接。这 论文报告了模型的发现,该模型旨在分析模型的时间效应 荷兰SpitsScoren奖励计划。一方面,人们可能期望得到这种回报 随着时间的流逝,个人倾向于退回到原来的习惯,因此这些计划失去了有效性。 另一方面,通过改变他们的惯例,个人可能会喜欢他们的新旅行 经验,这反过来可能导致积极的强化,并最终导致新的习惯 行为。总体而言,这些相反过程的影响可能在以下方面有所不同: 旅行者的不同部分。为了解开这些效果,面板效果混合了logit 模型,预测应用不同适应策略的可能性,包括 估计没有变化的选项。由于各种策略可能相关,因此 模型还允许选项之间的协方差。结果表明,社会经济 和情境变量会严重影响旅行者的适应策略。而且, 奖励计划的有效性会随着时间而变化,并影响各种选择 不一样。估计的模型还显示出证据之间存在明显的协方差 适应策略。

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