Identifying the influences of demographic characteristics and personality of inveterate drunk drivers on the likelihood of driving under the influence of alcohol (DUIA) recurrence

Kim, Do-Gyeong; Lee, Yuhwa

doi:10.1080/12265934.2017.1365004

Cited by 5 publications

(5 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, and consistent with previous literature (Furnham & Saipe, 1993;D.-G. Kim & Lee, 2017;Tao et al, 2017), psychoticism was found to be positively related to the assessed unsafe driving behaviors, MPUWD behaviors. As Eysenck (Eysenck, 1994) describes, psychoticism reflects the propensity to engage in eccentricity, aggressiveness, novel stimuli and disregard rules and norms.…”

Section: Discussionsupporting

confidence: 91%

Who uses a mobile phone while driving for food delivery? The role of personality, risk perception, and driving self-efficacy

Zhang

Huang

Wang

et al. 2020

Journal of Safety Research

View full text Add to dashboard Cite

show abstract

Section: Discussionsupporting

confidence: 91%

Who uses a mobile phone while driving for food delivery? The role of personality, risk perception, and driving self-efficacy

Zhang

Huang

Wang

et al. 2020

Journal of Safety Research

View full text Add to dashboard Cite

show abstract

“…Researchers in this area have suggested that there is something "unique" or "different" about those who persistently violation road safety rules that sets them apart from other drivers (e.g., Kim & Lee, 2017). This uniqueness, they argue, manifests in the intractable nature of their behavior, and the fact that traditional public health initiatives and criminal justice measures have failed bring about behavioral change (e.g., Lenton et al, 2010).…”

Section: Existing Theory and Research On Serious Road Traffic Offendingmentioning

confidence: 99%

“…In the aforementioned study (McMillen et al, 1992), those who were detected more than once reported higher levels of hostility than first-time drink-drivers, and other studies have reported that those who offend repeatedly score higher on a related trait, aggression, than nonrepeat drink-drivers (Begg et al, 2003). A more recent study of drink-driving recidivism in South Korea reported that higher scores on the personality trait “psychoticism”, which measures a tendency toward aggression, impulsivity, and being self-centered, was associated with multiple drink-driving offenses (Kim & Lee, 2017). They also reported that being a repeat drink-driver was associated with viewing one’s own behavior as being “all good” and with criticizing others.…”

Section: Existing Theory and Research On Serious Road Traffic Offendingmentioning

confidence: 99%

Pathways toward driver disqualification and implications for road safety policy and practice.

Sarma¹,

Cox²

2023

Psychology, Public Policy, and Law

View full text Add to dashboard Cite

Road traffic collisions are preventable events. Those who engage in the most serious forms of road traffic offending are disproportionately responsible for serious injuries and fatalities on the road. Understanding the processes that are implicated in serious road traffic offending can highlight potentially fruitful fulcra for enhancing road safety. Semistructured interviews were conducted with 30 drivers who had been disqualified in the previous 5 years and had regained their driving licenses. Participants were recruited with the support of the national authority for road safety in Ireland (the Road Safety Authority) and self-selected to be interviewed following an extensive recruitment campaign. Transcripts were analyzed using Thematic Analysis. The processes leading to driver disqualification involve a range of interacting factors that include early life experiences, pro-offending cognitions, precipitating stressors and normalization processes. These processes can be usefully synthesized using social ecology models of behavior that focus on the interplay between different personal and contextual factors in determining behavior. Findings suggest that processes leading to disqualification vary widely, pointing to the need for road safety strategies that are sensitive to the complexity of serious road traffic offenses and interventions that have multiple aspects sensitive to the varying processes involved.

show abstract

“…Driving behaviors refer to the intentional or unintentional characteristics and actions that manifest during the driving process, infuenced by various factors such as an age, experience, gender, attitude, and emotions [24][25][26][27]. Tese internal and external factors are known to afect risk assessment in various road trafc situations, leading to changes in driving behaviors such as driving speed, acceleration, deceleration, and steering, depending on the circumstances.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Preferred Automated Driving Patterns Based on a Driving Propensity Using Fuzzy Inference System

Hwang,

Lee

2024

Journal of Advanced Transportation

View full text Add to dashboard Cite

With the rapid advancements in automated driving technologies, there is a growing demand for the commercialization of advanced automated vehicles. Through these technologies, we envision enjoying various types of entertainment in automated vehicles, apart from manual driving. To achieve widespread acceptance of automated driving, appropriated interactions between users and automated driving systems must occur. From users’ perspective, automated driving vehicle must be operated within users’ comfort, safe, and satisfying perception based on their personal driving style such as aggressive and defensive driving. Thus, during the motion planning phase of automated driving, consideration should be given to the implementation of a behavioral algorithm based on user propensity. However, user preferences for automated driving patterns exhibit considerable variation, making it essential to conduct an in-depth investigation into the preferred automated driving patterns corresponding to users’ propensity. In this study, we confirmed that the characteristics of preferred automated driving patterns can be deduced from comprehensive driving propensities, which were derived by combining inherent driving propensities with simulator-based driving behavior characteristics using the fuzzy logic method. This study confirmed that in the era of automated driving, the preferred automated driving patterns may vary depending on the propensity from the user’s perspective. Considering these differences, it is meaningful in which it suggests the need for automated driving motions to be implemented based on individual preferences that appear according to human factors such as user propensity.

show abstract

Identifying the influences of demographic characteristics and personality of inveterate drunk drivers on the likelihood of driving under the influence of alcohol (DUIA) recurrence

Cited by 5 publications

References 16 publications

Who uses a mobile phone while driving for food delivery? The role of personality, risk perception, and driving self-efficacy

Who uses a mobile phone while driving for food delivery? The role of personality, risk perception, and driving self-efficacy

Pathways toward driver disqualification and implications for road safety policy and practice.

Evaluation of Preferred Automated Driving Patterns Based on a Driving Propensity Using Fuzzy Inference System

Contact Info

Product

Resources

About