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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:响应奖励方案的日常通勤选择适应的时间效应:面板效果混合Logit模型,允许适应策略之间的协方差

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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. This paper reports the findings of a model, which was formulated to analyze temporal effects of the Dutch SpitsScoren reward scheme. On the one hand, one might expect that reward schemes 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 travel experience, which in turn may lead to positive reinforcement and ultimately to new habitual behavior. On balance, the impact of these opposite processes may work out differently for different segments of travelers. To disentangle these effects, a panel effects mixed logit model, predicting the probability of applying different adaptation strategies, including the option of no change, was estimated. Because the various strategies may be correlated, the model also allows for covariance between the options. Results indicate that socio-economic and situational variables strongly affect travelers’ adaptation strategies. Moreover, the effectiveness of the reward scheme changes over time and affects the various options differently. The estimated model also shows evidence of significant covariances between adaptation strategies.
机译:荷兰已经在荷兰实施了几个基于奖励计划的项目,刺激了汽车用户,以避免在高峰时段使用网络的某些链接。本文报告了模型的调查结果,该模型被制定为分析荷兰SpitsScoren奖励计划的时间效应。一方面,人们可能会期望奖励计划随着时间的推移而失去其效力,因为个人往往会回归他们的旧习惯。另一方面,通过改变他们的例程,个人可以享受新的旅行体验,这反过来可能导致积极的加强,最终达到新的惯常行为。在平衡,这些相反的过程的影响可能不同于旅行者的不同细分。要解开这些效果,估计了一个面板效果混合Logit模型,预测应用不同适应策略的概率,包括无变化的选项。因为各种策略可能是相关的,所以模型还允许在选项之间进行协方差。结果表明,社会经济和情境变量强烈影响旅行者的适应策略。此外,奖励方案的有效性随时间而变化,不同地影响各种选择。估计的模型还显示了适应策略之间有重大的考核的证据。

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