W. Zhang, P. Xing
Autonomous ride-hailing is beginning to move from demonstration projects into limited public service, creating a practical question for ride-hailing users: under what conditions would they switch from a human-driven service to a driverless one? This study examines switching intention among Generation Z consumers. A scenario-based survey was administered to 91 undergraduate students, and the data were analyzed using partial least squares structural equation modeling. Perceived speed advantage, compatibility with respondents' routines, and imitation of peers under uncertainty were all positively associated with switching intention. The model explained 41.3% of the variance in switching intention. Follow-up comparisons by gender and prior ride-hailing frequency did not show statistically significant differences in the estimated paths. The findings suggest that switching to autonomous ride-hailing is shaped not only by perceived service improvements but also by whether the service feels compatible with everyday mobility habits and whether peer use reduces uncertainty.
Pearl Academic Publishing. All rights reserved.
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