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A socio-technical model of autonomous vehicle adoption using ranked choice stated preference data

机译:使用排名选择的自主车辆采用的社会技术模型中所说的偏好数据

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摘要

Understanding the "if" and "when" of autonomous vehicle (AV) adoption is of clear interest to car manufacturers in their positioning of business processes, but also to transportation planners and traffic engineers. In this paper, we examine the individual-level AV adoption and timing process, considering the psycho-social factors of driving control, mobility control, safety concerns, and tech-savviness. A ranked choice stated preference design is used to elicit responses from Austin area residents regarding AV adoption. Our results underscore the need to examine the adoption of technology through a psycho-social lens. In particular, technology developments and design should not be divorced from careful investigations of habits and consumption motivations of different groups of individuals in the population. The findings from our analysis are translated to specific policy actions to promote AV adoption and accelerate the adoption time frame.
机译:了解自动车辆(AV)采用的“如果”和“当”汽车制造商在业务流程定位的情况下是清楚的,而且对运输规划者和交通工程师进行了清晰。在本文中,考虑到驾驶控制,移动性控制,安全问题和技术的心理社会因素,检查个人级别的AV采用和定时过程。排名选择的偏好设计用于引出奥斯汀地区居民关于AV采用的反应。我们的结果强调了通过心理社会透镜来研究通过技术的采用。特别是,技术发展和设计不应离婚,从仔细研究人口中不同人群的习惯和消费动机。我们分析的调查结果转化为特定的政策行动,以促进AV采用并加速采用时间框架。

著录项

  • 来源
    《Transportation research》 |2020年第12期|102835.1-102835.22|共22页
  • 作者单位

    Univ Texas Austin Dept Civil Architectural & Environm Engn 301 E Dean Keeton St Stop C1761 Austin TX 78712 USA;

    Univ Texas Austin Dept Civil Architectural & Environm Engn 301 E Dean Keeton St Stop C1761 Austin TX 78712 USA;

    Univ Texas Austin Dept Civil Architectural & Environm Engn 301 E Dean Keeton St Stop C1761 Austin TX 78712 USA|Hong Kong Polytech Univ Hung Hom Kowloon Hong Kong Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Socio-technical model; Autonomous vehicles; Ranked choice; Psycho-social variables; Multivariate analysis;

    机译:社会技术模型;自治车辆;排名选择;心理社会变量;多变量分析;

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