Using in-depth accident data to identify limitations when applying crash injury risk curves

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dc.contributor.authorTyler, W.
dc.contributor.authorStokes, C.
dc.contributor.authorWoolley, J.
dc.contributor.conferenceAustralasian Road Safety Conference (ARSC) (28 Sep 2021 - 30 Sep 2021 : Virtual Online)
dc.contributor.editorJohnson, M.
dc.contributor.editorGrzebieta, R.H.
dc.date.issued2021
dc.description.abstractInjury risk curves outline the relationship between speed and the risk of high severity outcomes for certain crash configurations, and hence are a convenient tool for road infrastructure design practitioners when assessing the safety of certain road designs. However, aggregation of data used to create these risk curves can hide important complexities that limit their usefulness. The aim of this study is to contextualise such risk curves with respect to other determining factors of crash injury severity. In-depth crash investigation data from the Initiative for the Global Harmonisation of Accident Data (IGLAD) database is used to compare the predicted risk of high severity outcomes with actual severity outcomes of crashes. The results of this study suggest that the risk of high severity outcomes was either under- or over-predicted for a substantial proportion of crashes within the database.
dc.description.statementofresponsibilityWilliam Tyler, Christopher Stokes, Jeremy Woolley
dc.identifier.citationProceedings of the Australasian Road Safety Conference (ARSC, 2021), 2021 / Johnson, M., Grzebieta, R.H. (ed./s), pp.485-488
dc.identifier.isbn978-0-6481848-4-3
dc.identifier.urihttps://hdl.handle.net/2440/138967
dc.language.isoen
dc.publisherAustralasian College of Road Safety
dc.relation.ispartofseriesARSC
dc.rights© 2021 Australasian College of Road Safety
dc.source.urihttps://doi.org/10.33492/ARSC-2021
dc.titleUsing in-depth accident data to identify limitations when applying crash injury risk curves
dc.typeConference item
pubs.publication-statusPublished online

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