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The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
Published on: April 28, 2022
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Choosing to drive from alcohol serving establishments (ASEs)
Amin Shaer1, Andres Fielbaum1, David Levinson1
1School of Civil Engineering, The University of Sydney, Sydney, Australia.
Traffic Injury Prevention
|August 27, 2024
Summary
About 10% of car passengers drive after visiting alcohol-serving establishments (ASEs). Short trips and longer stays at ASEs can reduce driving, potentially lowering impaired driving incidents.
Area of Science:
- Traffic Safety
- Behavioral Science
- Public Health
Background:
- Driving Under the Influence (DUI) is a major cause of severe road crashes globally.
- Alcohol-Serving Establishments (ASEs) are frequently visited before driving, posing a risk for DUI events.
Purpose of the Study:
- To identify factors influencing driving behavior after visiting ASEs.
- To understand mode switching patterns from car passengers to drivers.
- To inform strategies for mitigating DUI.
Main Methods:
- Utilized statistical and machine learning models.
- Analyzed data from the Victorian Integrated Survey of Travel and Activity (VISTA).
- Focused on trips originating from ASEs in Victoria, Australia.
Main Results:
- Approximately 10% of car passengers switched to driving after leaving ASEs.
- Short travel distances (<1km) and 3-4 hour durations at ASEs influenced mode switching.
- Driving decreased after midnight, with increased use of public transport and taxis.
- Longer trips favored driving, while shorter trips favored walking.
- Longer stays and overnight vehicle parking at ASEs reduced driving propensity.
Conclusions:
- Behavioral adjustments can mitigate driving under the influence.
- Promoting walking for short trips and public transport/taxis for longer trips from ASEs is recommended.
- Understanding travel patterns post-ASE visits is key to enhancing road safety.
Keywords:
Artificial neural networkchoice modelingdrink drivingdriving while intoxicated (DWI)drunk drivingmachine learningMore Related Videos
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