Elena ALYAVINA, University of Huddersfield, United Kingdom
Alexandros NIKITAS, University of Huddersfield, United Kingdom
Eric NJOYA, University of Huddersfield, United Kingdom
Mobility-as-a-Service (MaaS) is a novel concept that aims to create a shift in individuals’ travel behaviour away from private car dependence maximising the potential of alternative modes (Arias-Molinares & García-Palomares, 2020). Recent research suggests, however, that potential MaaS users are not yet ready to abandon their cars while intending to fully substitute not only personal car trips but also public transport journeys with carsharing and ride-hailing (Fiorenze et al., 2019; Storme et al., 2020). This means that MaaS penetration, contrary to expectations, may result in unsustainable travel practices among its users (Alyavina et al. 2020). In this study, the effects of MaaS on intentions to own a car and to substitute public transport trips with car-sharing and ride-hailing are examined using a quantitative survey distributed in the UK. More specifically, the role of MaaS related attitudes, individual demographics, and past behaviour in the formation of behavioural intentions is identified. A total of 427 responses are analysed using a combination of Principal Component Analysis (PCA) and ordinal regression modelling. According to statistical analysis, only 19% of the transport users responding to the survey would consider not owning a car when equipped with MaaS, while almost 60% would replace some public transport trips with carsharing or ride-hailing. Eight attitudinal factors were identified via PCA, which, enhanced with past behaviour, explain circa 40% of variance in travel behavioural intentions, while individual demographics have no direct influence on the latter. These findings highlight some usually less discussed grey areas of MaaS and enable the design of policies that will help making MaaS an effective tool for enabling more sustainable travel behaviour patterns among transport users.
Mots clés : Mobility as a Service|Shared Mobility|Intentional Travel Behaviour|Regression Modelling|Future Transport
A105258EA