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Accuracy of self-reported data for estimating crash severity
Authors:Elliott Michael R  Arbogast Kristy B  Menon Rajiv  Durbin Dennis R  Winston Flaura K
Affiliation:

a Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, 612 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, USA

b Children’s Hospital of Pennsylvania, 34th Street and Civic Center Boulevard, 3535 Traumalink 10th Floor, Suite 1024, Philadelphia, PA 19104, USA

c Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, 711 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, USA

Abstract:Estimated traveling speed and speed limit have typically been used in population-based surveillance data to estimate crash severity. The accuracy of these measures in predicting crash severity is unknown. The Partners for Child Passenger Safety (PCPS) surveillance system offers a unique opportunity to compare these measures, as well as a novel measure of crash severity, “self-report” delta-V, to the accepted measure of delta-V estimated during detailed crash-investigations in 118 crashes. This “self-report” delta-V was computed from the estimated traveling speeds and direction of impact obtained from telephone interviews with drivers. These “self-reported” delta-V estimates are modestly associated with crash-investigation delta-V estimates, with the degree of association a function of the direction of impact: when the respondent was struck from the rear, the degree of association is strong; frontal, side, and single-vehicle crashes yield weaker associations. This “self-reported” delta-V measure, however, is a substantial improvement over use of estimated traveling speed or speed limit only.
Keywords:Delta-V   Crash-investigations   Momentum   Speed limit
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