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Identifying the Effects of Drivers' Behavior on Habitual Drunk Driving with Truncated Count Data Model  

Yang, Si-Hun (인천발전연구원)
Kim, Do-Gyeong (서울시립대학교 교통공학과)
Publication Information
Journal of Korean Society of Transportation / v.29, no.5, 2011 , pp. 7-17 More about this Journal
Abstract
Traffic problems caused by drunk drivers have been steadily raised from the past. Even though the previous researches have focused on the development of countermeasures for preventing drunk driving, the number of drivers violating the DUI (Driving-Under-Influence) regulation is still increasing. Many studies seek countermeasures for preventing drunk driving by comparing the differences between general and drunk drivers. However, few researches have investigated focusing only on the characteristics of drunk drivers. It is well known that characteristics of general drivers are different from those of drunk drivers, and also habitual drunk drivers have different characteristics from non-habitual drunk drivers. Motivated by this fact, only the drivers who have violated DUI regulation are considered in the analysis. This study primarily aims to provide alternative solutions for reducing habitual drunk drivers who are highly inclined to do drunk driving repeatedly. For the analysis, various types of variables potentially effecting drunk driving behavior were investigated, and then truncated count data models were developed to analyze the effects of the variables selected on drunk driving. The results showed that 1) a truncated negative binomial model is better fitted to the data; and 2) five variables including experiential learning, the lack of self-control, self-reflection, the fear of crackdown, and the level of dependence on vehicles were found to be statistically significant.
Keywords
Drunk Driving; Truncated Count Data; Factor Analysis; Poisson; Negative Binomial;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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