Summary of Levels of personalization in passenger information systems in public transport

Providing relevant information to passengers is essential for the functioning of the public transport system.With the digitalization of passenger information systems (PIS), passengers currently have access to largeamounts of information. To avoid cognitive overload among passengers, public transport systems experimentwith applying personalization to PIS, allowing for the provision of tailored information according tothe needs and desires of passengers. Notwithstanding, systematic definitions and guidelines for designingpersonalized PIS in public transport are currently lacking. We, therefore, introduce a framework for assessingthe personalization levels of PIS, to close the gap between theoretical conceptualizations and practicalimplementations of PIS. Our framework defines five levels of personalization, which are substantiated by areview of 40 papers focusing on personalization in PIS.

Publication Details

Journal
KTH Publication Database DiVA (KTH Royal Institute of Technology)
Published
2025-01-01
Primary Topic
Human-Automation Interaction and Safety
Type
article
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article

Summary of Levels of personalization in passenger information systems in public transport

KTH Publication Database DiVA (KTH Royal Institute of Technology)
Human-Automation Interaction and Safety
article

Summary of Levels of personalization in passenger information systems in public transport

article en

Abstract

Providing relevant information to passengers is essential for the functioning of the public transport system.With the digitalization of passenger information systems (PIS), passengers currently have access to largeamounts of information. To avoid cognitive overload among passengers, public transport systems experimentwith applying personalization to PIS, allowing for the provision of tailored information according tothe needs and desires of passengers. Notwithstanding, systematic definitions and guidelines for designingpersonalized PIS in public transport are currently lacking. We, therefore, introduce a framework for assessingthe personalization levels of PIS, to close the gap between theoretical conceptualizations and practicalimplementations of PIS. Our framework defines five levels of personalization, which are substantiated by areview of 40 papers focusing on personalization in PIS.

KTH Publication Database DiVA (KTH Royal Institute of Technology)
Openalex Percentile: Top 43%
Human-Automation Interaction and Safety
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