|
Deep Blue at the University of Michigan >
All Collections >
Interdisciplinary and Peer-Reviewed >
|
Please use this persistent URL to cite or link to this item:
|
| Title: | Society's aggression level as a predictor of traffic fatality rate |
| Authors: | Sivak, Michael |
| Issue Date: | 1983 |
| Publisher: | Elsevier |
| Citation: | Sivak, Michael (1983)."Society's aggression level as a predictor of traffic fatality rate." Journal of Safety Research 14(3): 93-99. <http://hdl.handle.net/2027.42/25094> |
| Abstract: | This research investigated the relationship of violence/aggression and other societal variables to traffic accidents. In the first of two studies, multiple regression was applied to 1977 data from each of the 50 states and the District of Columbia. Traffic fatalities per registered vehicle was the dependent variable. The independent variables were homicide rate, suicide rate, fatality rate from other causes, unemployment rate, personal income, density of physicians, alcohol consumption, motor vehicles per capita, road mileage per vehicle, sex and age distribution of drivers, and attained education. The main finding was that the homicide rate (but not the suicide rate) predicted the traffic fatality rate; additional significant predictors were the proportion of young drivers and the fatality rate from non-motor-vehicle accidents. The two primary predictors (homicides and young drivers) accounted for 64 % of the variance of traffic fatalities. In the second study, validation was performed by using the 1977 regression coefficients to estimate 1978 traffic fatalities. The results indicate that when the 1977 regression coefficients were applied to the 1978 values for homicides and young drivers, they accounted for 49 % of the variance of the 1978 traffic fatalities. The findings are discussed in terms of how society's violence/aggression may contribute to traffic accidents. |
| URI: | http://www.sciencedirect.com/science/article/B6V6F-466CHF6-1
8/2/384c6ac2ebcff2e02fc1a6cd4d32c885 |
| DOI: | 10.1016/0022-4375(83)90019-1 |
| Appears in Collections: | Interdisciplinary and Peer-Reviewed
|
Files in This Item:
| File |
Description |
Size | Format | |
|---|
| 0000526.pdf | | 570Kb | Adobe PDF | View/Open |
|
Deep Blue encourages the fair use of copyrighted material, and you are free to link to content here without asking for permission. Consult the document(s) and/or contact the copyright holder for additional rights questions and requests.
|
