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Probing deeper into the risks of slips, trips and falls for an ageing rail passenger population: applying a systems approach

Waterson, Patrick E.; Kendrick, Victoria L.; Ryan, Brendan; Jun, Thomas; Haslam, Roger A.


Patrick E. Waterson

Victoria L. Kendrick

Thomas Jun

Roger A. Haslam


In this study, the authors report the findings from a study of the contributory factors leading to slips, trips and falls (STFs) amongst elderly passengers at train stations and how these are likely to change in the future over the medium to long term (the period 2035–2050). Their data draws on: stakeholder interviews with rail personnel and elderly passengers; a set of station observations carried out across the UK; and, a survey of the views of station managers. The findings point to a set of 22 contributory factors covering aspects of organisational, station environment and passenger (individual) influence on STFs. Amongst the factors which most concern station managers at the present and over the next few decades are: rushing behaviour on train platforms; the consumption of alcohol by passengers; aspects of station design (e.g. flooring); and, training for station staff as regard the risks of STFs. The authors summarise their findings in the form of a systems model which highlights priorities with regard to STFs in terms of all of the stakeholders taking part in the study. A final section discusses a set of issues which might form the basis for a future agenda for research and practice in this area.


Waterson, P. E., Kendrick, V. L., Ryan, B., Jun, T., & Haslam, R. A. (2016). Probing deeper into the risks of slips, trips and falls for an ageing rail passenger population: applying a systems approach. IET Intelligent Transport Systems, 10(1), 25-31.

Journal Article Type Article
Publication Date Feb 1, 2016
Deposit Date Mar 23, 2016
Publicly Available Date Mar 23, 2016
Journal IET Intelligent Transport Systems
Print ISSN 1751-956X
Electronic ISSN 1751-9578
Publisher Institution of Engineering and Technology (IET)
Peer Reviewed Peer Reviewed
Volume 10
Issue 1
Pages 25-31
Public URL
Publisher URL
Additional Information This paper is a postprint of a paper submitted to and accepted for publication in IET Intelligent Transport Systems and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library


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