4.3 Article

A Descriptive Analysis of the Social Context of Drinking Among First-Time DUI Offenders

Journal

TRAFFIC INJURY PREVENTION
Volume 12, Issue 4, Pages 306-311

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/15389588.2011.564693

Keywords

Alcohol-impaired drivers; Drinking social context

Funding

  1. Maryland State Highway Administration
  2. University Transportation Center, US Department of Transportation

Ask authors/readers for more resources

Objective: To understand the role of social context in contributing to the incidence of alcohol-impaired driving. Methods: Telephone interviews were conducted with 161 individuals who received a first-time DUI citation. They were predominantly white (70%), male (62%) and 21 to 45 years of age (62%). They were paid $25 for their participation. Questions were asked about their social network, the social context in which they typically drink, the specific location and circumstances where they were drinking at the time of their citation, risky driving behaviors, in the last month as well as the number of traffic tickets they received and crashes they have been involved in since they started to drive. Results: Two reliable social contexts of drinking were identified through principle components factors analysis: emotional pain and social facilitation. Analyses of variance showed that drinking in a context of emotional pain (eg, to deal with depression, stress) was related to drinking alone at this location and driving when they know they have had too much to drink. Drinking in a context of social facilitation (eg, with friends, to be sociable) was related to drinking more frequently and with others (versus alone) at this location. Social facilitation was also positively related to driving over the speed limit and running a red light/stop sign. Conclusions: The social context of drinking is important for understanding the social network of drinking drivers, because most (86%) said that someone from their social network was with them at this drinking location. The need to understand how significant others influence the context of drinking as well as the likelihood of impaired driving is critical for program development. These results suggest that different types of interventions are needed for offenders depending on their social context of drinking.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
Article Public, Environmental & Occupational Health

Modeling injury severity of crashes involving golf carts: A case study of The Villages, Florida

Abdallah Kinero, Kabhabhela Bukuru, Enock E. Mwambeleko, Thobias Sando, Priyanka Alluri

Summary: This study examines the injury severity of golf cart (GC) crashes in a retirement community in Florida. The findings highlight the factors that influence GC crash severity and provide recommendations for improving GC safety.

TRAFFIC INJURY PREVENTION (2024)

Article Public, Environmental & Occupational Health

Predicting and factor analysis of rider injury severity in two-wheeled motorcycle and vehicle crash accidents based on an interpretable machine learning framework

Tianzheng Wei, Tong Zhu, Miao Lin, Haoxue Liu

Summary: This study utilizes machine learning methods to model and analyze the severity of accident injuries in two-wheeled motorcyclists. The results show that the LightGBM algorithm has good prediction performance. The driver's annual kilometers traveled, the throwing distance of the motorcyclist, and the road speed limit are the three most important factors influencing the severity of accident injuries.

TRAFFIC INJURY PREVENTION (2024)

Article Public, Environmental & Occupational Health

Comparison of corridor-level fatal and injury crash models with site-level models for network screening purposes on Florida urban and suburban divided arterials

John Mccombs, Haitham Al-Deek, Adrian Sandt

Summary: This study developed corridor-level network screening models to reduce fatal and injury crashes by identifying high-risk corridors for safety improvements. The corridor-level models were more accurate and statistically reliable than similar HSM models while requiring less data. Agencies can easily replicate the methods using readily available data to identify corridors in need of safety improvements.

TRAFFIC INJURY PREVENTION (2024)

Article Public, Environmental & Occupational Health

Proposing an effective approach for traffic safety assessment on heterogeneous traffic conditions using surrogate safety measures and speed of the involved vehicles

N. Mohamed Hasain, Mokaddes Ali Ahmed

Summary: The study aimed to evaluate the safety of heterogeneous traffic by identifying critical conflicts based on the speeds of the involved vehicles. The proposed Critical Following Speed method was validated using accident data and showed a correlation between critical conflicts and road accidents. The study highlighted the importance of considering vehicle speed in assessing traffic safety in mixed traffic conditions.

TRAFFIC INJURY PREVENTION (2024)