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Analysing Crash Data 
Our Research
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Fleet-based organisations suffer enormous losses to manage the costs of collisions. Most collisions are preventable and are to some degree foreseeable. Understanding your data is an important step in your fleet risk management programme. Data should be valid, easy to analyse and serve a clear and useful purpose, but it may be gathered in a non-systematic way or in different storing formats that makes analyses difficult. We can merge your data files to help you understand the true factors associated with crashes. For example, our unique method for assessing which party is responsibility for causing an incident will identify your true risk. 


af Wåhlberg, A. E., & Dorn, L. (2007). Culpable versus non-culpable traffic accidents; what is wrong with this picture? Journal of Safety Research, 38, 453-459.

PMID: 17884432,


Dorn, L., & af Wåhlberg, A. E. (2018). Behavioural culpability for traffic accidents. Transportation Research Part F: Traffic Psychology and Behaviour, 60, 505-514.

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