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The Long-term Effectiveness of a Reward Scheme in Changing Daily Travel Choices

机译:奖励计划在改变日常出行选择方面的长期有效性

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Understanding behavioral response and attitudes of car users towards pricing policies and the public's acceptance of new pricing schemes are of the highest priority for generating a successful policy. The assumption underlying these policies is that travelers will adapt their current behavior when faced with pricing schemes. Behavioral psychology however claims the benefits of reward over punishment in terms of its effectiveness of influencing behavior. Although the arguments are compelling, the effects of reward schemes have not received much attention in the context of travel behavior. A fascinating reward scheme has been suggested in The Netherlands because of the massive public resistance against the implementation of road pricing in 2010. Based on Stated Intention (SI) data from the Dutch SpitsScoren reward scheme, we study the long-term effectiveness of the reward as an opposite of punishment or price. More specifically in this first analysis, we seek to understand travelers’ behavioral change over time as a function of socio-economic and situational variables using cross- sectional Mixed Logit (ML) models. Results support the results of former related studies. Driving off-peak is recognized as the most popular alternative. However, its utility decreases during the studied period. Results also show that by exploring and experiencing the different alternatives across time, travelers change from driving off-peak to the teleworking and changing route options. Socio-economic and situational variables strongly affect travelers’ decisions regarding alternatives chosen. However, their effectiveness changes over time.
机译:了解汽车用户对价格政策的行为反应和态度,以及公众接受新的定价方案,对于制定成功的政策至关重要。这些政策的基本假设是,旅行者在面对定价方案时会适应当前的行为。然而,行为心理学从奖励行为影响的有效性的角度出发,主张奖惩胜于惩罚。尽管争论颇具说服力,但在旅行行为的背景下,奖励计划的效果并未引起足够的重视。由于在2010年公众对道路定价的实施产生了巨大的阻力,因此荷兰提出了一种引人入胜的奖励计划。基于荷兰SpitsScoren奖励计划的陈述意图(SI)数据,我们研究了奖励的长期有效性作为惩罚或代价的对立面。更具体地说,在此第一个分析中,我们试图使用横截面混合Logit(ML)模型来了解旅行者的行为随时间的变化,这些行为是社会经济和环境变量的函数。结果支持以前的相关研究的结果。非高峰驾驶被认为是最受欢迎的选择。但是,它的效用在研究期间下降。结果还表明,通过探索和体验跨时的不同选择,旅行者将从非高峰驾驶变为远程办公,并改变路线选择。社会经济因素和情况变量会极大地影响旅行者对所选择方案的决定。但是,它们的有效性会随时间变化。

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