Optimizing Public-Transportation Incentives through Predictive Response Segmentation

• Unité de recherche: INNOSUISSE
• Numéro de projet: 125.772 IP-SBM
• Titre du projet anglais: Optimizing Public-Transportation Incentives through Predictive Response Segmentation

Mots-clé (Anglais)

Social sciences & business management, Mobility

Résumé des résultats (Abstract) (Anglais)

Data from automated ticketing, core to Fairtiq?s business, enables personalized incentives. This project develops a predictive segmentation tool to identify likely responders, helping optimize incentive targeting and increase ridership, modal share, revenue, and system efficiency.