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Leading indicators of operational risk on the railway: A novel use for underutilised data recordings

Walker, Guy and Strathie, Ailsa (2015). Leading indicators of operational risk on the railway: A novel use for underutilised data recordings. Safety Science, 74 pp. 93–101.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1016/j.ssci.2014.11.017
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Abstract

Flight Data Monitoring (FDM) is the process by which data from on-board recorders, or so-called ‘black boxes’, is analysed after every journey to detect subtle trends which, if allowed to continue, would lead to an accident. An opportunity has been identified to advance the state of the art in FDM processes by coupling recorder data to established Human Factors methodologies so that issues arising from the strategically important human/machine-system interface can be better understood and diagnosed. The research has also identified a significantly underused source of recorder-data within the railway industry. Taking this data, the paper demonstrates how key areas of driver performance can be quantified using a simple behavioural cluster detection method coupled to sensitivity and response bias metrics. Faced with a class of operational accident that is increasingly human-centred, an underused source of data, and methods that can join it to established human performance concepts, the potential for detecting risks in advance of an accident are significant. This paper sets out to describe and demonstrate this potential.

Item Type: Journal Item
Copyright Holders: 2014 Elsevier Ltd
ISSN: 0925-7535
Keywords: Data recorders; Leading indicators; Process charts; Signal detection theory
Academic Unit/School: Faculty of Arts and Social Sciences (FASS) > Psychology and Counselling > Psychology
Faculty of Arts and Social Sciences (FASS) > Psychology and Counselling
Faculty of Arts and Social Sciences (FASS)
Item ID: 45327
Depositing User: Ailsa Strathie
Date Deposited: 01 Mar 2016 13:49
Last Modified: 09 Aug 2019 16:06
URI: http://oro.open.ac.uk/id/eprint/45327
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