Understanding traffic crash under-reporting: linking police and medical records to individual and crash characteristics

Janstrup, Kira H., Kaplan, Sigal, Hels, Tove, Lauritsen, Jens and Prato, Carlo G. (2016). Understanding traffic crash under-reporting: linking police and medical records to individual and crash characteristics. In: Transportation Research Board (TRB) 95th Annual Meeting. Transportation Research Board (TRB) 95th Annual Meeting, Washington, DC, United States, (). 10-14 January 2016.

Author Janstrup, Kira H.
Kaplan, Sigal
Hels, Tove
Lauritsen, Jens
Prato, Carlo G.
Title of paper Understanding traffic crash under-reporting: linking police and medical records to individual and crash characteristics
Conference name Transportation Research Board (TRB) 95th Annual Meeting
Conference location Washington, DC, United States
Conference dates 10-14 January 2016
Proceedings title Transportation Research Board (TRB) 95th Annual Meeting
Publication Year 2016
Sub-type Fully published paper
Total pages 15
Language eng
Abstract/Summary While the literature in road safety has demonstrated that national crash databases are a valuable resource for the analysis of crash frequency and severity, it has also been shown that these databases suffer from the phenomenon of crash under-reporting. This study aligns to the body of research dedicated to estimating the under-reporting rate of crashes by employing the capture-recapture method on available medical and police records. Data consist of records of road users who reported their involvement in a road crash to the police and/or emergency rooms on the island of Funen in Denmark between 2003 and 2007. Moreover, this study estimates the probability for road users reported in police records to appear in hospital records (and vice versa) by estimating joint binary logit models. Results show that the likelihood of appearing in both datasets is positively related to helmet and seat-belt use, number of motor vehicles involved, alcohol involvement, higher speed and lane number, and females being injured. Interestingly, marital status and education level are not found to be associated with the probability of reporting to both the hospital and the police.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes Transportation Research Board Annual Meeting 2016 Paper #16-1822

Document type: Conference Paper
Collection: School of Civil Engineering Publications
 
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Created: Mon, 18 Apr 2016, 18:47:18 EST by Carlo Prato on behalf of School of Civil Engineering