Data-driven Sensing of Human Experience in Transportation

Kurzfassung

Sustainability is a pressing global challenge, and shifting from individual mobility to public transport is an important step toward reducing environmental impact. To encourage this shift, we need to understand where and why travelers experience dissatisfaction, particularly in intermodal journeys including multiple forms of public transportation. My research addresses this challenge by using a data-driven approach which includes high-frequency geo-referenced travel experience data, combining subjective feedback, physiological measurements, and contextual factors. Through stakeholder interviews with mobility providers, I ensured that the resulting visualizations are both insightful and actionable for real-world applications. In this talk, I will introduce a new structure for the Satisfaction with Travel Scale, explore the potential of physiological sensors for measuring travel experience, present affective maps of public transport journeys, and present key pain and gain points-offering fresh insights into improving the public transport experience.