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Drivers for utilizing pooled-use automated vehicles— empirical insights from Switzerland

机译:利用集中使用的自动驾驶汽车的驾驶员—来自瑞士的经验见解

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Automated driving will trigger disruptive changes in the transportation system. Automated sharing and pooling options instead of private ownership are broadly discussed because of their possible contributions to climate change mitigation and sustainability. Despite the growing amount of literature on the adoption of these alternatives, little empirical evidence is available on the potential drivers of adoption, such as individuals’ socioeconomic background, mobility characteristics, attitudes, and values. To address this gap, we utilize the results of an online choice experiment involving 709 participants from Switzerland, which tested future mode choices considering automated cars, automated pooled-use taxis, and automated public transport shuttles, both for short- and long-term mobility decisions. Exploratory regression analysis explains the experiment outcome with a broad set of underlying data predicting willingness to use. Our findings illustrate that automated cars and automated public transport often appeal to the user groups of their traditional non-automated counterparts. However, this does not seem to be the case for automated pooled-use taxis, which we find to be associated with higher-income groups. Attributes on current mobility characteristics and values cannot be significantly associated with automated pooled-use taxis. We also demonstrate that short- and long-term mobility decisions are worth studying together in AV adoption studies.
机译:自动驾驶将触发运输系统的颠覆性变化。由于自动共享和共享选项可能对缓解气候变化和可持续发展做出贡献,因此广泛讨论了自动共享和共享选项,而不是私有所有权。尽管有关采用这些替代方法的文献越来越多,但很少有经验证据表明采用这些替代方法的潜在因素,例如个人的社会经济背景,流动性特征,态度和价值观。为了解决这一差距,我们利用来自瑞士的709名参与者的在线选择实验的结果,测试了未来模式的选择,其中考虑了自动驾驶汽车,自动共用出租车和自动公共交通班车的短期和长期机动性决定。探索性回归分析通过大量预测使用意愿的基础数据来解释实验结果。我们的发现表明,自动驾驶汽车和自动公共交通通常吸引传统非自动驾驶汽车用户群。但是,对于自动集合出租车而言,情况似乎并非如此,我们发现这与高收入人群有关。当前的流动性特征和值的属性不能与自动共用的出租车紧密关联。我们还证明,短期和长期流动性决策值得在视听采用研究中一起研究。

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