Learning from Accidents: A Systematic Review of Accident Analysis Methods and Models

Hans Wienen*, Faiza Allah Bukhsh, E. Vriezekolk, Roel J. Wieringa

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


After a risk has manifested itself and has led to an accident, valuable lessons can be learned to reduce the r isk of a similar accident occurring again. This calls for accident analysis methods. In the past 20 years, a large number of accident analysis methods have been proposed and it is difficult to find the right method to apply in a specific circumstance. The authors conducted a review of the state of the art of accident analysis methods and models across domains. They classify the models using the well-known categorization into sequential, epidemiological, and systemic methods. The authors find that these classes have their own characteristics in terms of speed of application versus pay-off. For optimum risk reduction, methods that take organizational issues into account can add valuable information to the risk management process in an organization.
Original languageEnglish
Pages (from-to)42-62
Number of pages21
JournalInternational journal of information systems for crisis response and management
Issue number3
Publication statusPublished - Sept 2018


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