Moderating effects of policy measures on intention to adopt autonomous vehicles: Evidence from China

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society Pub Date : 2024-10-08 DOI:10.1016/j.tbs.2024.100921

Tianpei Tang , Yuntao Guo , Dustin J. Souders , Xinghua Li , Miaomiao Yang , Xunqian Xu , Xinwu Qian

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引用次数: 0

Abstract

Autonomous vehicles (AVs) can potentially revolutionize the transportation system, but the extent of their impact may depend on users’ attitude and AV-related policies. This paper seeks to provide a holistic view of the impacts of policy, attitudinal, and sociodemographic factors on AV adoption intention. An extension to the original Technology Acceptance Model is proposed by incorporating perceived enjoyment (i.e., how enjoyable respondents think using an AV will be) and policy factors. Four policy factors include the availability of financial incentives, awareness campaigns, traffic policies, and legislative measures. Using 1,831 survey responses in China, multiple linear regression models were estimated to quantify the direct impacts of the proposed policy and attitudinal factors on AV adoption intention. They also illustrate the moderating effects of these policies on the relationships between attitudinal factors and AV adoption intention. The study findings may be used to design future policy measures to facilitate a smooth transition to an era of AVs.

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政策措施对采用自动驾驶汽车意向的调节作用：来自中国的证据

自动驾驶汽车（AV）有可能彻底改变交通系统，但其影响程度可能取决于用户的态度和与自动驾驶汽车相关的政策。本文试图从整体上探讨政策、态度和社会人口因素对自动驾驶汽车采用意向的影响。本文对原有的 "技术接受模型 "进行了扩展，加入了 "感知乐趣"（即受访者认为使用视听产品的乐趣）和 "政策因素"。四个政策因素包括经济激励措施、宣传活动、交通政策和立法措施。通过对中国 1 831 份调查问卷进行估计，建立了多元线性回归模型，以量化建议的政策和态度因素对采用自动驾驶汽车意向的直接影响。研究还说明了这些政策对态度因素和采用意向之间关系的调节作用。研究结果可用于设计未来的政策措施，以促进向电动汽车时代的平稳过渡。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Travel Behaviour and Society TRANSPORTATION-

CiteScore

9.80

自引率

7.70%

发文量

109

期刊介绍： Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.