Optimizing Public-Transportation Incentives through Predictive Response Segmentation

Research unit

INNOSUISSE

Project number

125.772 IP-SBM

Project title

Optimizing Public-Transportation Incentives through Predictive Response Segmentation

Texts for this project

	German	French	Italian	English
Key words	-	-	-
Abstract	-	-	-

Category	Text
Key words (English)	Social sciences & business management, Mobility
Abstract (English)	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.