@article{ref1,
title="Understanding the predictors of young drivers' speeding intention and behaviour in a three-month longitudinal study",
journal="Accident analysis and prevention",
year="2020",
author="Vankov, Daniel and Schroeter, Ronald and Twisk, Divera",
volume="151",
number="",
pages="e105859-e105859",
abstract="This study aimed to examine to what extent an Adolescent Speeding Specific Model (ASSM), extending the theory of planned behaviour (TPB), predicts young drivers'  (aged 18-25) future and past speeding (n = 126). The ASSM tested the contribution of  demographics, split TPB, additional predictors and past behaviour to young drivers'  speeding at two moments of time, over three months. Hierarchical multiple regression  revealed that participants most likely to speed in the future were those who have  done so in the past (independent predictor (ip): past compliance with the speed  limit), and who were not certain in their ability to control their speeding (ip:  self-efficacy). ASSM also indicated that people who reported speeding at T1 did so  at T2 as well (ip: past compliance with the speed limit). The results also show that  sensitive to rewards people would speed more (ip: sensitivity to reward), similar to  ones with less control over their behaviour (ip: perceived controllability) or with  more driving experience (ip: GDL phase). Overall, the ASSM explained 73% of the  intention to comply with speed limits variation and 62% of the present compliance  with the speed limit variation. Compared to models, similar in structure to ASSM,  our model explained variance in intention, equal to the previously maximum observed,  and 22% more variance in behaviour. As a result, our findings may help design better  targeted educational campaigns to prevent young drivers' speeding.<p /> <p>Language: en</p>",
language="en",
issn="0001-4575",
doi="10.1016/j.aap.2020.105859",
url="http://dx.doi.org/10.1016/j.aap.2020.105859"
}