What is the relation between crashes from crash databases and near-crashes from naturalistic data?
Paper in proceedings, 2016

Naturalistic cycling data are increasingly available worldwide and promise ground-breaking insights into road-user behaviour and crash-causation mechanisms. Because few, low-severity crashes are available, safety analyses of naturalistic data often rely on near-crashes. Nevertheless, the relation between near-crashes and crashes is still unknown, and the debate on whether it is legitimate to use near-crashes as a proxy for crashes is still open. This paper exemplifies a methodology that combines crashes from a crash database and near-crashes from naturalistic studies to explore their potential relation. Using exposure to attribute a risk level to individual crashes and near-crashes depending on their temporal and spatial distribution, this methodology proposes an alternative to blackspots for crash analysis and compares crash risk with near-crash risk.


Marco Dozza

SAFER, The Vehicle and Traffic Safety Centre

Chalmers, Applied Mechanics, Vehicle Safety

Proceedings of the 5th International Cycling Safety Conference, Bologna, Italy. Nov. 3-4 2016

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