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Accident Analysis Methods and Models – a Systematic Review
Hans Christian Augustijn Wienen
author
Faiza Allah Bukhsh
author
Eelco Vriezekolk
author
Roel J. Wieringa
author
2018
Rochester Institute of Technology
Rochester, NY (USA)
English
After a risk has manifested itself and has led to an accident, valuable lessons can be learned that can be taken into account to reduce the risk 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. We conducted a review of the state of the art of accident analysis methods and models across domains. We classify the models using the well-known categorization into sequential, epidemiological and systemic methods. We 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.
Accident Analysis Methods and Models – a Systematic Review
exported from refbase (http://idl.iscram.org/show.php?record=2117), last updated on Mon, 25 Nov 2019 10:22:08 +0100
text
http://idl.iscram.org/files/hanschristianaugustijnwienen/2018/2117_HansChristianAugustijnWienen_etal2018.pdf
HansChristianAugustijnWienen_etal2018
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management
Iscram 2018
Kees Boersma
editor
Brian Tomaszeski
editor
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
2018
Rochester Institute of Technology
Rochester, NY (USA)
conference publication
398
408
978-0-692-12760-5
2411-3387
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