At the core of Metropia's user informatics system lies a robust decision support capability that ensures personalized and relevant information is disseminated to users based on the who, when, and how aspects of communication. To determine the "who," the decision support system leverages a comprehensive analysis of both present and historical activity data. By examining user profiles, travel patterns, and preferences, the system identifies the users who are most relevant and l

Behavior change requires more than a mindset shift. Our MaaS platform’s use of dynamic and personalized incentives is tailored to individual preferences and interests. The following overview and case study show how it works. Overview Metropia's behavior change approach is designed to be progressive and incremental, guiding users through a series of steps to encourage sustainable transportation choices. The journey begins with a loyalty program that focuses on fostering user e