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A framework to support human factors of automation in railway intelligent infrastructure

Dadashi, Nastaran; Wilson, John R.; Golightly, David; Sharples, Sarah


Nastaran Dadashi

John R. Wilson

David Golightly


Technological and organisational advances have increased the potential for remote access and proactive monitoring of the infrastructure in various domains and sectors – water and sewage, oil and gas and transport. Intelligent Infrastructure (II) is an architecture that potentially enables the generation of timely and relevant information about the state of any type of infrastructure asset, providing a basis for reliable decision-making. This paper reports an exploratory study to understand the concepts and human factors associated with II in the railway, largely drawing from structured interviews with key industry decision-makers and attachment to pilot projects. Outputs from the study include a data-processing framework defining the key human factors at different levels of the data structure within a railway II system and a system-level representation. The framework and other study findings will form a basis for human factors contributions to systems design elements such as information interfaces and role specifications.


Dadashi, N., Wilson, J. R., Golightly, D., & Sharples, S. (in press). A framework to support human factors of automation in railway intelligent infrastructure. Ergonomics, 57(3), doi:10.1080/00140139.2014.893026

Journal Article Type Article
Acceptance Date Dec 15, 2013
Online Publication Date Mar 27, 2014
Deposit Date Aug 30, 2017
Publicly Available Date Aug 30, 2017
Journal Ergonomics
Print ISSN 0014-0139
Electronic ISSN 1366-5847
Publisher Taylor & Francis
Peer Reviewed Peer Reviewed
Volume 57
Issue 3
Keywords rail systems, intelligent infrastructure, complex systems, automation, human factors guidance
Public URL
Publisher URL
Additional Information This is an Author's Original Manuscript of an article published by Taylor & Francis in Ergonomics on 27/03/2014, available online:


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