| Literature DB >> 26176910 |
Erica Donnelly-Swift1, Alan Kelly1.
Abstract
Generalised linear regression models were used to identify factors associated with fatal/serious road traffic collision injuries for single- and multi-vehicle collisions. Single-vehicle collisions and multi-vehicle collisions occurring during the hours of darkness or on a wet road surface had reduced likelihood of a fatal/serious injury. Single-vehicle 'driver with passengers' collisions occurring at junctions or on a hill/gradient were less likely to result in a fatal/serious injury. Multi-vehicle rear-end/angle collisions had reduced likelihood of a fatal/serious injury. Single-vehicle 'driver only' collisions and multi-vehicle collisions occurring on a public/bank holiday or on a hill/gradient were more likely to result in a fatal/serious injury. Single-vehicle collisions involving male drivers had increased likelihood of a fatal/serious injury and single-vehicle 'driver with passengers' collisions involving drivers under the age of 25 years also had increased likelihood of a fatal/serious injury. Findings can enlighten decision-makers to circumstances leading to fatal/serious injuries.Keywords: Bayesian; binomial regression; logistic regression; multi-vehicle collisions; single-vehicle collisions
Mesh:
Year: 2015 PMID: 26176910 DOI: 10.1080/17457300.2015.1047861
Source DB: PubMed Journal: Int J Inj Contr Saf Promot ISSN: 1745-7300