What drives tourists to adopt self-driving cars?

Melinda Jászberényi, Márk Miskolczi, András Munkácsy, Dávid Földes

2022Transportation Research Part F Traffic Psychology and Behaviour32 citationsDOI Open Access PDF

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.

Topics & Concepts

Self drivingOpenness to experienceTourismStructural equation modelingTransport engineeringBusinessMarketingComputer sciencePsychologyEngineeringSocial psychologyPolitical scienceLawMachine learningTransportation and Mobility InnovationsSharing Economy and PlatformsTechnology Adoption and User Behaviour