Designing a behaviour-led mobility service that supports users in shifting travel time.

This project began with a question about public transport congestion, but reframed the problem beyond information visibility. I explored what conditions actually make people willing to adjust their travel time. Through this reframing, I identified the behavioural, practical, and trust-related factors that shape whether users keep or change their original plan.

In response, I developed Arrivo, a MaaS service concept designed around a clearer decision flow: recognising congestion, comparing alternative time slots, and deciding whether a change feels worthwhile. To test the direction, I combined small-scale exploratory experiments with scenario-based simulations to examine what drives or blocks time-shift behaviour. The outcome is a strategic model for how behaviour change could be supported through mobility service design.