K2

User acceptance of personalized passenger information in public transport

This study explores the demand for personalization in public transport and identifies how which factors influence the acceptance of personalization. The findings aim to support operators in making informed decisions about investing in personalized features in passenger information systems (PIS). Personalization can move beyond standardized solutions by offering tailored routes, schedules, and services, improving both resource efficiency and user experience. The study also considers privacy and perceived intrusiveness, which are important factors in user acceptance.