What is the relation between crashes from crash databases and near crashes from naturalistic data?
Artikel i vetenskaplig tidskrift, 2020
Naturalistic cycling data are increasingly available worldwide
and promise ground-breaking insights into road-user behavior
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 nearcrash
risk. The novelty of this methodology is to use exposure
with high time and space resolution to estimate the risk for
specific crashes and near crashes.