What drives tourists to adopt self-driving cars?

Melinda Jászberényi · Márk Miskolczi · András Munkácsy · Dávid Földes

34 citations0/0 files storedTransportation Research Part F Traffic Psychology and Behaviour

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Technology Adoption and User Behaviour Human-Automation Interaction and Safety Transportation and Mobility Innovations

Abstract

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 Conventional 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.

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References

2003User Acceptance of Information Technology: Toward A Unified View1 2012Principles and Practice of Structural Equation Modeling 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 2011PLS-SEM: Indeed a Silver Bullet 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 2007Confirmatory factor analysis for applied research 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews 1998The partial least squares approach for structural equation modeling.

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