The role of data visualization in railway Big Data Risk Analysis

M. Figueres-Esteban, P. Hughes, C. Van Gulijk

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)


Big Data Risk Analysis (BDRA) is one of the possible alleys for the further development of risk models in the railway transport. Big Data techniques allow a great quantity of information to be handled from different types of sources (e.g. unstructured text, signaling and train data). The benefits of this approach may lie in improving the understanding of the risk factors involved in railways, detecting possible new threats or assessing the risk levels for rolling stock, rail infrastructure or railway operations. For the efficient use of BDRA, the conversion of huge amounts of data into a simple and effective display is particularly challenging. Especially because it is presented to various specific target audiences. This work reports a literature review of risk communication and visualization in order to find out its applicability to BDRA, and beyond the visual techniques, what human factors have to be considered in the understanding and risk perception of the information when safety analysts and managers start basing their decisions on BDRA analyses. It was found that BDRA requires different visualization strategies than those that have normally been carried out in risk analysis up to now.

Original languageEnglish
Title of host publicationSafety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015
PublisherCRC Press/Balkema
Number of pages6
ISBN (Print)9781138028791
Publication statusPublished - 2015
Event25th European Safety and Reliability Conference: Safety and Reliability of Complex Engineered Systems - Zurich, Switzerland
Duration: 7 Sep 201510 Sep 2015


Conference25th European Safety and Reliability Conference
Abbreviated titleESREL 2015


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