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Accident modelling of railway safety occurrences : the Safety and Failure Event Network (SAFE-NET) method

journal contribution
posted on 2017-12-06, 00:00 authored by Karen KlocknerKaren Klockner, Yvonne Toft
The Safety and Failure Event Network (SAFE-NET) method of accident modelling has been developed as part of a human factors research project which aimed to identify the relationships of contributing factors (including human factors) to major railway safety occurrences for the Rail Safety Regulator in Queensland, Australia. Whilst accident modelling had certainly progressed through various reiterations since the first simple linear model was developed, the identified gap has been for a practical methodology for undertaking accident modelling which can now cope with modern day system complexity and truly reflect the socio-technical systems under review. The aim of this research was to identify the contributing factors to railway safety occurrences and to examine how contributing factors were interconnected and networked. To meet this aim major railway safety occurrence reports which were submitted to the Rail Safety Regular, for a five year period (2006 – 2010), were analysed and data was collected on the contributing factors using the Contributing Factors Framework (CFF), a human factors tool developed for the rail industry in Australia. The contributing factors for various types of safety occurrences were then modelled using the Safety and Failure Event Network (SAFE-Net) method. The results have enabled various types of railway safety occurrences to be modelled with a view to understanding how the contributing factors are interconnected and which factors are the main contributors to various types of safety occurrences. This representation allows management and others to review the railway system elements at a deeper level and enable the focus of safety efforts to be directed to the most important and central elements from a systems perspective.

History

Volume

3

Start Page

1734

End Page

1741

Number of Pages

8

ISSN

2351-9789

Location

Netherlands

Publisher

Elsevier

Language

en-aus

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Not affiliated to a Research Institute; School of Human, Health and Social Sciences (2013- );

Era Eligible

  • Yes

Journal

Procedia manufacturing.

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