What drives tourists to adopt self-driving cars?

被引：13

作者：

Jaszberenyi, Melinda ^{[1
]}

Miskolczi, Mark ^{[1
,4
]}

Munkacsy, Andras ^{[2
]}

Foldes, David ^{[3
]}

机构：

[1] Corvinus Univ Budapest, Inst Mkt, Fovam Ter 8, H-1093 Budapest, Hungary

[2] KT Inst Transport Sci, Res Ctr Transport Dev, Karoly u 3-5, H-1119 Budapest, Hungary

[3] Budapest Univ Technol & Econ, Fac Transportat Engn & Vehicle Engn, Dept Transport Technol & Econ, Muegyetem Rkp 3, H-1111 Budapest, Hungary

[4] Corvinus Univ Budapest, Inst Mkt, Budapest, Hungary

来源：

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR | 2022年 / 89卷

关键词：

Autonomous vehicles (AVs); Technology acceptance model (TAM); Tourism; Technology Acceptance Model of Autonomous; Vehicles for Tourism Purposes (TAMAT); Systematic literature review (SLR); Covariance-based structural equation modelling (CB-SEM); TECHNOLOGY ACCEPTANCE MODEL; AUTONOMOUS VEHICLES; INFORMATION-TECHNOLOGY; AUTOMATED VEHICLES; USER ACCEPTANCE; FUTURE; OWNERSHIP; TRUST; INTENTION; TRANSPORT;

D O I：

10.1016/j.trf.2022.07.013

中图分类号：

B849 [应用心理学];

学科分类号：

040203 ;

摘要：

Autonomous vehicles are expected to shape mobility and tourism. This paper introduces an extension to the TAM to better understand the adoption of self-driving cars for tourism purposes. The new model (TAMAT) confirms some under-explored impacts of tourism-related variables, such as Openness to Tourism Usage and Unusual Surroundings, and the Adherence to Conven-tional Use on the Intention to Use self-driving cars. The research is based on online data collection (n = 646) and applies Covariance-Based Structural Equation Modelling. Findings indicate that the opportunity of using self-driving cars for tourism and unusual environments has a positive impact, while adherence to conventional car use has a negative impact on the intention to use self-driving cars.

引用

页码：407 / 422

页数：16

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