Details:

Creators:
Duckworth, M. P. ; Renqvist, J. G. ; Dahir, V. B.
Duckworth, M. P. ; Renqvist, J. G. ; Dahir, V. B. Less -
Corporate Creators:
University of Nevada, Reno
Subject/TRT Terms:
[+]
Advertising Campaigns Attitudes Behavior College Students Drunk Drivers Impaired Drivers
Publication/ Report Number:
514-13-803
Resource Type:
Tech Report
Geographical Coverage:
Nevada
Corporate Publisher:
Nevada. Dept. of Transportation
Abstract:
Alcohol-impaired (AI) driving continues to cause a disproportionate number of fatalities within the college and

young adult populations, indicating optimal prevention programs for AI driving have yet to be developed. The

current study tested the efficacy of two theoretically- and empirically-based online video advertisements at

reducing AI driving willingness and behavior in a sample of 108 college students at high risk for future AI

driving. The relations of AI driving risk factors to AI driving willingness and behavior in a larger sample of 600

college students was also tested. Findings revealed that students who viewed either advertisement reported

decreases in general willingness to drive after drinking, while participants who did not view an advertisement

reported increases in general willingness to drive after drinking. While viewing an advertisement was not

associated with decreased AI driving, study participants reported a significant decrease in AI driving overall.

Findings revealed AI driving risk and decision-making factors to have both shared and unique relations to driving

after “perhaps too much to drink” and driving “shortly after three or more drinks.” Findings from the current

study provide preliminary support for the efficacy of both advertisements in reducing general willingness to drive

after drinking within the subgroup of the college population most at risk for AI driving. Additionally, this study

takes one of the first steps in developing an AI driving model that accounts for the influence of sociodemographic,

dispositional, historical, and current AI driving risk factors as well as rational and emotional decision-making

factors.


Format:
PDF
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:c97aaa80d0b89a436ff5c72514c75eabce9d77f013c9e88b23a6cb9e5c328d6a
Download URL:
https://rosap.ntl.bts.gov/view/dot/29556/dot_29556_DS1.pdf
File Type:

Supporting Files

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