Abstract
Passengers' travel behaviour is one of the significant factors affecting train overcrowding. Train occupancy information has been introduced as a tool to stimulate passengers' behaviour change to ease in-vehicle crowding. However, there are limitations to this strategy as it often fails to consider other elements in the complex rail system that influence behaviour. This research provides insights to service providers to promote passenger behaviour change by revealing the behavioural constraints in the environment. Cognitive Work Analysis (CWA) was applied to systematically analyse passengers’ behaviour and related constraints in the environment. Specifically, Work Domain Analysis (WDA) and Social Organisation and Cooperation Analysis (SOCA) were conducted and presented in the forms of Abstraction Hierarchy (AH) and Contextual Activity Template (CAT). Results showed that a wide range of informational, navigational and physical support alongside provision of occupancy information could better encourage passengers to select and use less busy carriages and trains. Behaviour change goals are likely to be achieved more effectively when the constraints of the system are better understood.
Original language | English |
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Article number | 103801 |
Number of pages | 16 |
Journal | Applied Ergonomics |
Volume | 104 |
Early online date | 1 Jun 2022 |
DOIs | |
Publication status | Published - Oct 2022 |
Bibliographical note
Copyright © 2022 Elsevier Ltd. All rights reserved.Funding: The authors acknowledge the funders of this project, the UK Department for Transport, FutureRailway, and Rail Safety and Standards Board. We also thank Govia Thameslink Railway Ltd. for their excellent support.
Keywords
- Cognitive work analysis
- Occupancy information
- Passenger behaviour change
- Train crowding