To share or not to share: A theoretically guided investigation of factors predicting intentions to use fully automated shared passenger shuttles

摘要

This study applied the Theory of Planned Behaviour (TPB) to assess individuals' intentions to use fully automated shared passenger shuttles when they become publicly available. In addition, perceived trust was assessed to examine the extent to which this variable could account for additional variance in intentions above the TPB constructs of attitudes, subjective norms, and perceived behavioural control (PBC). Further, and also guided by the TPB, the study explored the differences in behavioural, normative, and control beliefs between individuals who reported high intentions to use automated passenger shuttles in the future (high intenders) and individuals who reported low intentions to use fully automated shared passenger shuttles in the future (low intenders). Participants (N = 438; 64% female) aged between 17 and 84 years (Mage = 35.42 years) were asked to complete an online questionnaire which took approximately 15 min. The findings revealed that attitudes, subjective norms, and PBC were significant positive predictors of intentions to use fully automated shared passenger shuttles when they become publicly available. When perceived trust was added to the hierarchical regression, this variable was shown to account for additional significant variance in intentions above the TPB constructs and was shown to be a significant positive predictor of intentions. Further, the results revealed significant differences in beliefs held by high and low intenders. Specifically, high intenders held significantly more positive beliefs towards fully automated shared passenger shuttles than low intenders. In turn, low intenders held significantly more negative beliefs towards these vehicles than high intenders. Overall, these findings provide support for the utility of the TPB in examining individuals' intentions to use fully automated shared passenger shuttles when they become publicly available. (C) 2020 Published by Elsevier Ltd.