PURPOSES : The impact of traffic accidents varies with the change in the social background of drivers. Thus, this study analyzes the characteristics of traffic accidents caused by taxis based on factors such as the type of taxi owner, driver’s age, and length of driver’s career and consequently suggests improvement methods.
METHODS: Based on the data of the accidents involving taxis registered in Seoul, this study analyzed traffic accidents by categorizing taxis by the type of owner, driver’s age, and length of driver’s career. For statistical verification, SPSS was used to derive the influence variables through polynomial logistic regression analysis, and accordingly, a method to reduce traffic accidents caused by taxis was proposed.
RESULTS: In the case of aged drivers and drivers with long careers, vehicle-to-vehicle accidents accounted for a lower percentage than other accidents; moreover, the accident rates in downtown and that at nighttime were high. Drivers with long careers had a lower percentage of selfinjury; however, as the total number of deaths and serious injuries caused by such drivers was higher, there is a greater risk of serious accidents caused by them.
CONCLUSIONS: This study analyzes the characteristics of taxi accidents based on the type of taxi owner, driver’s age, and length of the driver’s career to determine the periodical characteristics of taxi accidents in aging society. Therefore, the number of traffic accidents caused by taxis can be drastically reduced if the results of this study are used in the customized safety education of drivers and improvement of traffic facilities.