Investigating heterogeneity in preferences for Mobility-as-a-Service plans through a latent class choice model

The past decade has seen the introduction and widespread availability of a number new mobility services. These have created transport environment that is complex to navigate for passengers. Mobility as Service (MaaS) concept aims provide solution, by offering single digital interface through which users can plan journeys, pay access variety modes. MaaS also with various products, including pay-per-use modes well packages. latter are bundled services combine offered customers in one-stop-shop manner. objective this paper examine individual preferences packages, specifically addressing question preference heterogeneity. In doing so, Latent Class Choice Model (LCCM) developed, allowing us reveal variations individuals’ preferences. LCCM estimated using data from MaaS-related market research carried out Greater Manchester. results imply significant heterogeneity regards Three latent classes emerged analysis, all different package characteristics. Age, gender, income, education current travel behaviour play an important role determining individual’s propensity purchase valuable insights into types people should not be initially targeted packages maximise uptake.