Workload, fatigue and performance in the rail industry

Smith, Andrew Paul ORCID: https://orcid.org/0000-0001-8805-8028 and Smith, Hugo 2017. Workload, fatigue and performance in the rail industry. Longo, Luca and Leva, M. Chiara, eds. Human Mental Workload: Models and Applications. H-WORKLOAD 2017. Communications in Computer and Information Science, Vol. 726. Communications in Computer and Information Science, Cham: Springer, pp. 251-263. (10.1007/978-3-319-61061-0_17)

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Abstract

Recent research has addressed the topic of workload in the rail industry. Much of this has been concerned with developing measures for use by signallers and there has been less research about the workload of passenger rail staff. The present studies addressed this issue using single item measures of workload, effort, fatigue and performance. Results from two diary studies with conductors/guards and maintenance engineers showed that high workload was associated with increased fatigue. Fatigue was associated with increased risk of incidents and slower reaction time. In the third study, results from a large scale survey showed both that high demands increased fatigue and demands were associated with perceptions of reduced performance. Overall, these results confirm the importance of workload for operational efficiency and show that the use of single item measures makes further study in real-life settings acceptable.

Item Type:	Book Section
Date Type:	Publication
Status:	Published
Schools:	Psychology
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Publisher:	Springer
Date of First Compliant Deposit:	8 June 2017
Last Modified:	02 Nov 2022 11:15
URI:	https://orca.cardiff.ac.uk/id/eprint/101306

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