Personalised passenger information systems in public transport
a review and a 5-level personalisation taxonomy
Michelle T. van Ardenne (KTH Royal Institute of Technology)
Matej Cebecauer (KTH Royal Institute of Technology)
O Cats (KTH Royal Institute of Technology, TU Delft - Transport and Planning)
Zhenliang Ma (KTH Royal Institute of Technology)
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Abstract
Providing relevant information to passengers is essential for the functioning of the public transport system. With the digitalisation of passenger information systems (PIS), passengers currently have access to large amounts of information. To avoid cognitive overload among passengers, public transport systems experiment with applying personalisation to PIS, allowing for the provision of tailored information according to the needs and desires of passengers. Notwithstanding, systematic definitions and guidelines for designing personalised PIS in public transport are currently lacking. We, therefore, introduce a framework for assessing the personalisation levels of PIS, to close the gap between theoretical conceptualisations and practical implementations of PIS. Our framework defines five levels of personalisation, which are substantiated by a review of 40 papers focusing on personalisation in PIS.
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