Personalized, context-aware communication in multimodal public transport

Abstract

The way we experience time is based on its psychological value. Time spent efficiently or pleasantly positively influences the time experience. When choosing a transportation mode, people highly value flexibility, reliability, and autonomy. Public transport, although used frequently, does not always fulfill these values. With personalization, the public transport experience could become more efficient and pleasant. This Ph.D. research aims to personalize public transport information systems (PTIS) through context-aware communication. To achieve this goal, the following activities are planned: (1) a systematic literature review of personalization in public transport; (2) creating an elaborate passenger context model based on existing literature, expert reviews, and user studies; (3) applying this model to offer context-aware information, advice, and inspiration to public transport passengers. At the time of writing, an initial version of the context model has been produced. The next step will be validating and improving the model.