School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Department of International Logistics, Chung-Ang University, Seoul 06974, Korea.
Int J Environ Res Public Health. 2020 Jul 6;17(13):4868. doi: 10.3390/ijerph17134868.
Shared autonomous vehicles (SAVs), which have several potential benefits, are an emerging innovative technology in the market. However, the successful operation of SAVs largely depends on the extent of travellers' intention to adopt them. This study aims to analyse the factors that influence the adoption of SAVs by integrating two theoretical perspectives: the unified theory of acceptance and use of technology 2 (UTAUT2) and the theory of planned behaviour (TPB). A valid survey sample of 268 participants in Da Nang, Vietnam was collected. Subsequently, structural equation modelling was deployed to test the research model. The results indicate that the five dimensions of UTUAT2: performance expectation, effort expectation, habit, price value and hedonic motivation, are mediated by the attitudes toward using SAVs. Further, the TPB constructs, namely attitude, subject norm, perceived behavioural control, along with its perceived facilitating conditions, are all effective predictors of intention to use SAVs. The findings of this study can serve as a crucial resource for transport operators and the government to enhance transportation services and policies.
共享自动驾驶汽车 (SAV) 是市场上一种新兴的创新技术,具有多项潜在优势。然而,SAV 的成功运营在很大程度上取决于旅行者采用它们的意愿程度。本研究旨在通过整合两个理论视角:统一技术接受和使用理论 2 (UTAUT2) 和计划行为理论 (TPB),分析影响 SAV 采用的因素。在越南岘港收集了 268 名有效调查样本。随后,采用结构方程模型来检验研究模型。结果表明,UTAUT2 的五个维度:绩效预期、努力预期、习惯、价格价值和享乐动机,通过对使用 SAV 的态度来调节。此外,TPB 结构,即态度、主观规范、感知行为控制,以及其感知的便利条件,都是使用 SAV 的意图的有效预测因素。本研究的结果可以为运输运营商和政府提供重要资源,以加强交通服务和政策。