The human element in autonomous driving: Motivations, expectations, and behavioral change

IF 13.3 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2025-04-01 Epub Date: 2025-01-28 DOI:10.1016/j.techfore.2025.123992
Juliana Waltermann, Sven Henkel
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Abstract

Autonomous vehicles (AVs) have the ability to revolutionize mobility by addressing current challenges, but their success relies on the deployment and utilization of the technology by future users of AVs. This paper delves into the complex interplay of users` motivations and decision-making processes that shape future transportation behavior in the era of AVs. Using means-end chain analysis, data from 30 in-depth laddering interviews revealed four overarching motives of potential AV users: self-actualization, efficiency, well-being, and autonomy. Self-actualization entails leveraging time gained through the utilization of AVs to enrich one's life. Efficiency denotes the desire to use available resources as efficiently as possible in order to achieve desired goals. Well-being embodies the desire for a pleasant, safe, and relaxed driving experience. Autonomy defines the desire for independence, including the pursuits of acting freely and self-determinedly. This study advances theoretical understanding by revealing specific motivational drivers and barriers that influence AV acceptance and usage, resolving contradictions in existing literature, and illustrating the multifaceted dynamics between individual preferences and broader mobility behavior. Thereby, this study enhances current discourse on AV integration, offering a well-founded basis for refining transportation policy and technology development.
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自动驾驶中的人为因素:动机、期望和行为改变
自动驾驶汽车(AVs)有能力通过解决当前的挑战来彻底改变出行方式,但它们的成功取决于未来自动驾驶汽车用户对这项技术的部署和利用。本文深入研究了用户动机和决策过程之间复杂的相互作用,这些相互作用将影响自动驾驶汽车时代未来的交通行为。利用手段端链分析,来自30个深度阶梯访谈的数据揭示了潜在自动驾驶汽车用户的四个主要动机:自我实现、效率、福祉和自主性。自我实现需要利用利用自动驾驶汽车获得的时间来丰富自己的生活。效率是指尽可能有效地利用现有资源以实现预期目标的愿望。幸福体现了对愉快、安全、轻松驾驶体验的渴望。自治定义了对独立的渴望,包括对自由和自主行动的追求。本研究揭示了影响自动驾驶汽车接受和使用的特定动机驱动因素和障碍,解决了现有文献中的矛盾,并阐明了个人偏好与更广泛的移动行为之间的多方面动态关系,从而促进了理论理解。因此,本研究加强了当前关于自动驾驶汽车集成的论述,为完善交通政策和技术发展提供了良好的基础。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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