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An Empirical Study on Measures for reducing Drunk Driving exploiting Psychological Characteristics of Inveterate Drunk Drivers  

Park, Won-Beom (도로교통공단)
Jang, Seok-Yong (도로교통공단)
Jeong, Heon-Yeong (부산대학교 도시공학과)
Publication Information
Journal of Korean Society of Transportation / v.29, no.5, 2011 , pp. 91-104 More about this Journal
Abstract
According to statistics, drunk drivers who repeatedly violate the DUI (Driving under influence) regulation have been continuously increased, and now the habitual drunk drivers become a societal problem. Employing a confirmative factorial analysis of structural equation model to analysis psychological characteristics of habitual drunk drivers and also seek countermeasures, this study identify the difference among three different groups of drivers: 1) sober drivers, 2) drivers with a DUI violation record, and 3) drivers with more than two records. The results of this study are as follows: First, remedies and educational contents to rectify drunk drivers can be differentiated according to their drunk driving records. Second, using defense mechanism (e.g., rationalization, projection, sublimation), drunk driving psychology (such e.g., sense of guilt, shame, embarrassment) and self-esteem (e.g., affirmation, denial) as theory variables, a Structural Equation is constructed to represent Psychological Characteristics of drunk driving according to records on drunk driving. Third, as a result of analysis of the Psychological Characteristics Model, measures for prevention and reduction of drunk driving suitable for the characteristics of respective group are also suggested. Forth, drunk driving measures based on drinking individuality are complemented by concurrence analysis on records of drunk driving records and National Alcoholism Screening Test (NAST) score. Also, two or more times recorded drunk drivers are classified as inveterate drunk drivers.
Keywords
Inveterate Drunk Drivers; Defense Mechanism; Rationalization; Projection; Sublimation; Self-esteem;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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