From Bold Innovators to Anxious Observers, who will use shared micromobility as a train station egress mode? A Latent Class Cluster Analysis approach

Abstract

Shared micromobility is often cited as a solution to the first/last mile problem of public transport (train) travel. In this paper, we use latent class cluster analysis, combined with attitudinal statements based on the UTAUT2 technology acceptance framework, to study the potential adoption of shared micromobility and to assess the various drivers and barriers as perceived by different user groups. Our findings suggest there are six distinct user groups with varying intention to use shared micromobility. We label the groups as: Progressives, Conservatives, Hesitant Participants, Bold Innovators, Anxious Observers and Skilled Sceptics. Technological savviness, ease-of-use, the physical safety while using micromobility and societal perception seem to be the biggest barriers to wider adoption. Younger, highly educated males are the group most likely and open to using shared micromobility, while older individuals with lower incomes and a lower level of education tend to be the least likely.