如何促进人们使用自动驾驶汽车?一个潜在同余路径模型

Yang Zhang , Bowei Zhang , Jiatao Chen , Yongping Zhang , Yang Wu , Lizhen Zhou
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引用次数: 0

摘要

自动驾驶汽车(AVs)备受关注,个人期望和认知影响着人们对其的态度。结合消费者满意度指数,建立潜在一致性路径模型,研究个体期望和认知的一致性或不一致性如何影响人们的行为意向。采用 SmartPLS 计算差异值。从中国 877 名受访者收集的数据显示,个人的期望和认知越一致,就越有可能促进使用电动汽车,但这种影响有上限。享受在推广使用自动驾驶汽车方面发挥着关键作用。此外,功利动机可以通过享乐动机对行为意向产生积极影响。研究结果为理解个人认知如何影响人们使用自动驾驶汽车的行为以及为自动驾驶汽车开发更好的出行服务提供了启示,更重要的是,为理解政府机构和汽车设计者如何吸引更多的人使用自动驾驶汽车提供了启示。
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How to promote people to use autonomous vehicles? A latent congruence path model

Autonomous vehicles (AVs) have gained great attention, and individual expectations and perceptions influence attitudes toward them. Combined with the consumer satisfaction index, a latent congruence path model is established to study how the consistency or inconsistency of individual expectations and perceptions affects people's behavior intention. SmartPLS is used to calculate the difference value. Data collected from 877 respondents in China show that the more consistent the individual's expectations and perceptions are, the more likely it is to promote the use of AVs, but this effect has an upper limit. Enjoyment plays a key role in promoting AVs. In addition, utilitarian motivation can positively influence behavior intention through hedonic motivation. The findings provide insights into understanding how individual perceptions affect people's behavior toward using AVs and developing better travel services for AVs, and more importantly, how government agencies and vehicle designers can attract more people to use AVs.

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来源期刊
CiteScore
6.40
自引率
14.30%
发文量
79
审稿时长
>12 weeks
期刊介绍: Transportation Letters: The International Journal of Transportation Research is a quarterly journal that publishes high-quality peer-reviewed and mini-review papers as well as technical notes and book reviews on the state-of-the-art in transportation research. The focus of Transportation Letters is on analytical and empirical findings, methodological papers, and theoretical and conceptual insights across all areas of research. Review resource papers that merge descriptions of the state-of-the-art with innovative and new methodological, theoretical, and conceptual insights spanning all areas of transportation research are invited and of particular interest.
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