One of the most notable global transportation trends is the accelerated pace of development in vehicle automation technologies. Uncertainty surrounds the future of automated mobility as there is no clear consensus on potential adoption patterns, ownership versus shared use status and travel impacts. Adding to this uncertainty is the impact of the COVID-19 pandemic that has triggered profound changes in mobility behaviors as well as accelerated adoption of new technologies at an unprecedented rate. Accordingly, this study examines the impact of the COVID-19 pandemic on willingness to adopt the emerging technology of autonomous vehicles (AVs). Using data from a survey disseminated in June 2020 to 700 respondents in the United States, we perform a difference-in-difference regression to analyze the shift in willingness to use autonomous vehicles as part of a shared fleet before and during the pandemic. The results reveal that the COVID-19 pandemic has a positive and highly significant impact on the consideration of using autonomous vehicles. This shift is present regardless of tech-savviness, gender or urban/rural household location. Individuals who are younger, left-leaning and frequent users of shared modes of travel are expected to become more likely to use autonomous vehicles once offered. Understanding the effects of these attributes on the increase in consideration of AVs is important for policy making, as these effects provide a guide to predicting adoption of autonomous vehicles - once available - and to identify segments of the population likely to be more resistant to adopting AVs.
翻译:最引人注目的全球运输趋势之一是车辆自动化技术的发展速度加快; 自动化机动性的未来前景不确定,因为对于潜在的采用模式、所有权与共用使用状况和旅行影响缺乏明确的共识; 除了这种不确定性之外,还有COVID-19大流行病的影响,该大流行病导致机动性行为发生深刻变化,并以前所未有的速度加速采用新技术; 因此,本项研究审查了COVID-19大流行病对采用自主车辆新兴技术的意愿的影响; 利用2020年6月向美国700名答复者分发的调查数据,我们进行了差异分析,以分析使用自主车辆作为共用车队一部分的意愿的转变; 研究结果表明,COVID-19大流行病对考虑使用自主车辆具有积极和非常显著的影响; 不论技术保存、性别或城市/农村家庭所在地如何,这种转变都存在; 利用2020年6月向美国700个答复者分发的调查数据,我们进行了差异分析,以分析使用自主车辆作为该大流行病之前和期间共用车队一部分的意愿变化; 研究结果显示,COVID-19大流行病对考虑使用自主车辆的考虑具有积极性和高度影响,一旦有了新的自主车辆,就能够预测这些特性对采用这些特性的影响。