Accident Analysis Methods and Models — a Systematic Literature Review

As part of our co-operation with the Telecommunication Agency of the Netherlands, we want to formulate an accident analysis method and model for use in incidents in telecommunications that cause service unavailability. In order to not re-invent the wheel, we wanted to first get an overview of all existing accident analysis methods and models to see if we could find an overarching method and commonalities between models. Furthermore, we wanted to find any methods that had been applied to incidents in telecommunication networks or even been designed specifically for these incidents. In this article, we present a systematic literature review of incident and accident analysis methods across domains. We find that accident analysis methods have experienced a rise in attention over the last 15 years, leading to a plethora of methods. We discuss the three classes in which they are often categorized. We find that each class has its own advantages and disadvantages: an analysis using a sequential method may be easier to understand and communicate and quicker to execute, but may miss vital underlying causes that can later trigger new, similar accidents. An analysis using an epidemiological method takes more time, but it also finds underlying causes the resolution of which may prevent accidents from happening in the future. Systemic methods are appropriate for complex, tightly coupled systems and executing such a method takes a lot of time and resources, rendering it very expensive. This will often not be justified by the costs of the accident (especially in telecommunications networks) and it will therefore be too expensive to be employed in regular businesses. We were not able to find any published definitions of structured methods specific to telecommunications, nor did we find any applications of structured methods specifically to telecommunications