Laws 2015, 4(3), 602-616; https://doi.org/10.3390/laws4030602
Psychosocial Predictors of Compliance with Speed Limits and Alcohol Limits by Spanish Drivers: Modeling Compliance of Traffic Rules
1
CRÍMINA Center for the Study and Prevention of Delinquency, University Miguel Hernández de Elche, Avda. de la Universidad s/n, Elche 03202, Spain
2
Health Psychology Department, University Miguel Hernández de Elche, Avda. de la Universidad s/n, Elche 03202, Spain
†
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Frank Pasquale
Received: 2 July 2015 / Accepted: 1 September 2015 / Published: 9 September 2015
Abstract
To prevent dangerous driving behaviors, the Spanish government has implemented public policies focused primarily on increasing the harshness of sanctions for violations of traffic laws. However, empirical evidence has demonstrated that other factors, such as social norms and one’s own value system, have an impact on people’s motivation to obey the law. A telephone survey was administered to a random sample of 570 Spanish drivers in order to determine the role played by each of these factors in compliance with two of the most flouted traffic rules. Logistic regression of the data allowed for the construction of models and arrive at the following conclusions: (1) social influence exerted by the reference group is a determining factor in compliance with both traffic laws; (2) legitimacy factors play an important role in complying with alcohol limits; and (3) variables from the deterrence approach only influenced compliance with speed limits, and then only moderately. The results of the present study suggest a need for a review of current public policy approaches for the prevention of dangerous driving behaviors. View Full-TextKeywords:
compliance; deterrence; legitimacy; road safety; social influence
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MDPI and ACS Style
Bautista, R.; Sitges, E.; Tirado, S. Psychosocial Predictors of Compliance with Speed Limits and Alcohol Limits by Spanish Drivers: Modeling Compliance of Traffic Rules. Laws 2015, 4, 602-616.