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Big Data Risk Analysis for Rail Safety?

Van Gulijk, Coen, Hughes, Peter, Figueres-Esteban, Miguel, Dacre, Marcus and Harrison, Chris (2015) Big Data Risk Analysis for Rail Safety? In: Safety and Reliability of Complex Engineered Systems: ESREL 2015. CRC/Balkema. ISBN 9781138028791

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Abstract

Computer scientists believe that the enormous amounts of data in the internet will unchain a management revolution of uncanny proportions. Yet, to date, the potential benefit of this revolution is scantily investigated for safety and risk management. This paper gives a brief overview of a research programme that investigates how the new internet-driven data-revolution could benefit safety and risk management for railway safety in the UK. The paper gives a brief overview the current activities in this programme and infers whether big-data techniques provide a sensible addition to the safety and risk sciences. The overview shows that there is added value for introducing these techniques in the safety and risk domain but serious challenges need to be addressed.

Item Type: Book Chapter
Additional Information: Paper presented at ESREL, Zurich, Switzerland, 7-10th September 2015
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
Schools: School of Computing and Engineering > Institute of Railway Research
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References:

Allen JF 1994. Natural language processing. Encyclopedia of
Computer Science, New York: John Wiley and Sons Ltd.
ATOC 2015. http://www.atoc.org/about-atoc/national-railenquiries/
access-to-information/, accessed 10 April 2015.
Bearfield G, Holloway A & Marsh W 2013. Change and safety:
decision-making from data, Proc. IMechE Part F, J. Rail
and rapid transit 227(6): 704 - 714.
Chen, H., Chiang, R.H. & Storey, V.C. 2012, Business intelligence
and analytics: from big data to big impact, MIS Quarterly
36 no. 4: 1165 – 1188.
Cohen J, Dolan B, Dunlap M, Hellerstein JM & Welton C
2009. MAD skills: new analysis practices for big data,
Journal of the VLDB Endowment 2 iss 2: 1481-1492.
Dacre M 2014. Safety risk model: risk profile bulletin, version
8.1, London: RSSB.
Dale R, Moisl H & Somers H 2000. Handbook of natural language
processing, New York: CRC Press.
Figueres M, Hughes P & Van Gulijk 2015. InfoVis for BDRA,
article prepared for ESREL 2015 Conference, 7-10 September,
2015, Zurich, Switzerland.
Gnoni MG, Andriulo S, Maggio G & Nardone P 2013. Lean
occupational safety: an application for a near-miss management
mystem design, Safety science 53: 96ı104.
HSE Books. 2000. Ladbroke Grove rail enquiry, Part 1, London:
Her Majesty’s Stationary Office.
Hughes P & Figueres-Esteban M 2015. Learning from close
call events, Report: IRR 110/89, Huddersfield: IRR.
Hughes P, Figueres M & Van Gulijk C 2015. Learning from
text-based close call data, article prepared for ESREL 2015
Conference, 7-10 September, 2015, Zurich, Switzerland.
Li H, Parikh D, He Q, Qian B, Li Z, Fang D & Hamapur A
2014. Improving rail network velocity: a machine learning
approach to predictive maintenance. Trans. Res. part C 45:
17-26.
Kour R, Karim, R., Parida, A. & Kumar U. 2014. Applications
of radio frequency identification (RFID) technology with emaintenance
cloud for railway system, Int j syst Assur eng
manag 5(1): 99-106.
McAfee, A. & Brynjolffson E. 2012, Big Data: the management
revolution, Harvard Business Review Oct 2012: 61 -
67.
Makalar B & Roy BK 2014. Survey of RFID applications in
railway industry. First international conference on automation,
control and systems (ACES): 1 - 6.
Mayer-Schönberger & V Cukier K 2013. Big data: a revolution
that will transform how we live, work, and think, New
York: Houghton Mifflin Harcourt.
NR 2015. http://www.networkrail.co.uk/data-feeds/, accessed
10 April 2015.
Sadashiv N & Kumar SMD 2011. Cluster, grid and cloud computing:
a detailed comparison, The 6th international conference
on computer science & education (ICCSE 2011), Singapore,
August 3-5, 2011: 477- 482.
Stow J, Zhao Y & Harrison C 2015. Estimating the frequency
of trains approaching red signals – a key to improved understanding
of SPAD risk, (accepted, Journal of Engineering).
Tan X & Ai B 2011. The issues of cloud computing security in
high-speed railway: International conference on electronic
& mechanical engineering and information technology,
Harbin, August 12-14: 4358 - 4363.
Taylor JA, Lacovara AV, Smith GS, Pandian R & Lehto M
2014. Near-miss narratives from the fire service: a Bayesian
analysis, Accident analysis & prevention 62: 119-129.
Thomas, P. 2014. The role of big data in railroading. Raiway
Age August 2014: 44.
TSLG, 2012, RSSB/TSLG Report: The future railway, the industry’s
rail technical strategy, London: RSSB.
Watson HJ & Marjanovic O 2013. Big data: the fourth data
management generation, Business intelligence journal 18
no. 3: 4 – 8.
White T. 2012. Hadoop, the definite guide 3rd ed., USA:
O’Reilly media Inc.
Wu J & Heydecker BG 1998. Natural language understanding
in road accident data analysis, Advances in engineering
software 29: 599-610.
Xu H, Stenner SP, Doan S, Johnson KB, Waitman LR & Denny
JC 2010. MedEx: a medication information extraction
system for clinical narratives, Journal of the American medical
informatics association 17(1): 19-24.
Yan B. Yu, W. 2009, Application of RFID technology in railway
track inspection, First international workshop on Education
technology and computer science: 526 - 529.
Zhang, X & Tentzeris M. 2011. Applications of fast-moving
RFID tags in high-speed railway systems. International
journal of engineering business management 3 no 1: 27 -
31.

Depositing User: Coen Van Gulijk
Date Deposited: 16 Jul 2015 13:42
Last Modified: 02 Dec 2016 05:23
URI: http://eprints.hud.ac.uk/id/eprint/25024

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