Because of their increasing presence on the nation's highways, older drivers are at greater risk. But there is relatively little known about the extent that older drivers are involved in alcohol related crashes and the impact that public policy have upon these crashes. Based upon data from a cross-section of California counties over an eighteen-year period, this study develops and estimates negative binomial regression models to analyse total, fatal, and non-fatal injury alcohol related crashes involving older drivers. The results indicate that risk exposure is a determining factor, with the greatest effect on alcohol related injury crashes. Alcohol prices and income are also important factors. And speed limit policy, rather than alcohol policies, have the largest impact on alcohol related crashes involving older drivers. (Author/publisher) For the covering abstract of the conference see ITRD Abstract No. E201067.
Samenvatting