Influence of choice experiment designs on eliciting preferences for autonomous vehicles
Influence of choice experiment designs on eliciting preferences for autonomous vehicles
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选择实验设计对自动驾驶汽车偏好的影响
DOI：
10.1016/j.trpro.2018.10.044
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Ricardo A. Daziano
中科院分区：
文献类型：
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作者：
P. Bansal;Ricardo A. Daziano
由于初始购买价格可能很高，自动化很可能会作为短期租赁的按需自动驾驶出租车进入运输市场。在这项研究中，通过在纽约市进行离散选择实验（DCE），估计了与使用自动出租车相关的福利措施。针对更现实的选择方案，提出了一种有效的设计方法，并测试，利用属性水平的分布，然而，分析表明，使用一个更简单的有效的设计与参考替代品的平均属性。在我们的样本中，纽约人愿意为每次自驾旅行平均少付3美元。这种支付意愿的降低是因为在目前的条件下，没有司机可能被视为一种滋扰，而不是一种便利。
Due to potentially high initial purchase prices, automation is likely to hit the transportation market as on-demand autonomous taxis for short-term rentals. In this study, welfare measures associated with the use of autonomous taxis were estimated by conducting discrete choice experiments (DCEs) in New York City. Aiming at more realistic choice scenarios, a method for pivot-efficient designs is proposed and tested that exploits the distribution of attribute levels; however, analysis suggests the use of a simpler pivot-efficient design with average attributes of reference alternatives. In our sample New Yorkers were willing to pay on average $3 less per self-driven trip. This reduction in the willingness to pay is coming from the fact that in current conditions not having a driver may be perceived as a nuisance rather than a convenience.