A priori acceptance of automated rideshare services: Do intentions to use differ when safety operators are inside or outside the vehicle?

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-09-08 DOI:10.1016/j.trf.2025.103360

Hengyan Pan , Amanda N. Stephens , David B. Logan , William Payre , Longjian Wang , Peter Divjakinja , Helen Zahos , Sjaan Koppel

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引用次数: 0

Abstract

With advancements in automated driving technology and the sharing economy, automated rideshare services (ARS) are entering the market. In this service, vehicles are controlled by an automated driving system, with a safety operator available to take over if needed. ARS has great potential to reduce travel costs and crashes caused by human error. However, user acceptance is essential for adoption and intention to use.

To address this issue, this study examined users’ a priori acceptance of ARS by extending the Technology Acceptance Model to include perceived risk, trust, social influence, and facilitating conditions (e.g., road infrastructure, communication facilities). Intentions to use ARS with an in-vehicle safety operator versus one provided by remote network control was also investigated. Data were collected from 580 participants (M = 32.1 years, SD = 6.8, Range = 21.0–61.0 years; Male: 60.7 %) through an online questionnaire.

The structural equation model showed that higher levels of perceived trust in automated driving systems, and trust in safety operators were associated with lower perceived safety risk and subsequent increased intention to use the services. Increased perceived safety risk of manual rideshare services only promoted intentions to use ARS with remote safety operators, not those with in-vehicle safety operators. Perceived ease of use strongly influenced intentions for ARS with in-vehicle safety operators, while social influence and facilitating conditions were key factors for those with remote safety operators.

These findings indicate a need for programs that enhance users’ understanding of how automated driving systems and safety operators contribute to road safety. Additionally, clarifying the operational scope of different ARS will improve their perceived ease of use and acceptance.

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对自动拼车服务的先验接受：当安全操作员在车内或车外时，使用意图是否不同？

随着自动驾驶技术和共享经济的发展，自动拼车服务（ARS）正在进入市场。在这项服务中，车辆由自动驾驶系统控制，如果需要，安全操作员可以接管。自动驾驶系统在降低旅行成本和人为失误造成的撞车事故方面具有巨大潜力。然而，用户的接受对于采用和意图使用是必不可少的。为了解决这个问题，本研究通过将技术接受模型扩展到包括感知风险、信任、社会影响和便利条件（如道路基础设施、通信设施）来检验用户对自动驾驶汽车的先验接受程度。研究人员还调查了使用车载安全操作员与远程网络控制提供的安全操作员的意向。通过在线问卷收集580名参与者（M = 32.1岁，SD = 6.8，范围= 21.0-61.0岁，男性：60.7%）的数据。结构方程模型显示，对自动驾驶系统和安全操作员的感知信任水平越高，感知安全风险越低，随后使用服务的意愿就越高。人工拼车服务的感知安全风险增加，只会促进人们与远程安全操作员一起使用自动驾驶系统，而不是与车载安全操作员一起使用。感知到的易用性强烈影响了配备车载安全操作员的自动驾驶系统的意向，而社会影响和便利条件是配备远程安全操作员的自动驾驶系统的关键因素。这些发现表明，需要开发程序来增强用户对自动驾驶系统和安全操作员如何促进道路安全的理解。此外，澄清不同ARS的操作范围将提高它们的易用性和可接受性。

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

Transportation Research Part F-Traffic Psychology and Behaviour Multiple-

CiteScore

7.60

自引率

14.60%

发文量

239

审稿时长

71 days

期刊介绍： Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.