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首页> 外文期刊>International journal of sustainable transportation >Capturing ownership behavior of autonomous vehicles in Japan based on a stated preference survey and a mixed logit model with repeated choices
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Capturing ownership behavior of autonomous vehicles in Japan based on a stated preference survey and a mixed logit model with repeated choices

机译：基于所说的偏好调查和重复选择的混合Logit模型，捕获日本自治车辆的所有权行为

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摘要

As an additional effort for exploring the unknowns about the ownership behavior of autonomous vehicles (AVs), we implemented an online stated preference (SP) survey in Japan and collected 1728 responses from car users across the whole country in 2016. The SP choice set included three types of AVs (conditional, high, and full automation) and a conventional vehicle. Each respondent answered three SP profiles. SP Attributes of AVs (additional purchase cost, reduction rate of insurance, reduction rate of permanent parking cost, penetration rate in the market, and release timing to the market) were defined relative to the conventional vehicle. Changes in future income were assumed based on each respondent's historical trend for assisting him/her to show more realistic responses. It was found that on average, respondents are willing to pay an additional 402,233 to 793,611 JPY to purchase an AV in the future. Estimating a mixed logit model with repeated choices and correlations between random-effect parameters following a normal distribution confirmed the significant influence of unobserved and correlated heterogeneities with respect to SP attributes. Both expected and unexpected results with respect to the random-effect variables are observed. Policy implications of analysis results are discussed.
机译：作为探索关于自治车辆（AVS）的所有权行为的未知的额外努力，我们在日本实施了在线表示的偏好（SP）调查，并于2016年收集了来自全国的汽车用户的1728年回复。包括SP选择集合三种类型的AVS（条件，高和完全自动化）和传统车辆。每个受访者都回答了三个SP型材。相对于传统车辆，定义了相对于传统车辆定义了AVS的SP属性（额外购买成本，保险率，永久停车成本的减少率，市场上的渗透率，并释放时间）。基于每个受访者的历史趋势，假设未来收入的变化是协助他/她展现更多现实反应的历史趋势。有人发现，平均而言，受访者愿意在未来额外支付402,233至793,611日元购买AV。在正常分布后，估计具有重复选择和随机效应参数之间的相关性的相关性和相关性证实了对SP属性的不观察和相关的异质性的显着影响。观察到期望和意外结果都被观察到随机效应变量。讨论了分析结果的政策影响。

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