Optimizing Public-Transportation Incentives through Predictive Response Segmentation

• Forschungsstelle: INNOSUISSE
• Projektnummer: 125.772 IP-SBM
• Projekttitel Englisch: Optimizing Public-Transportation Incentives through Predictive Response Segmentation

Schlüsselwörter (Englisch)

Social sciences & business management, Mobility

Abstract (Englisch)

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.