References
- Ajzen I. 1991. The theory of planned behavior. Organizational Behav Hum Decis Processes. 50(2):179–211. doi:10.1016/0749-5978(91)90020-T
- Ajzen I. 2002. Perceived behavioral control, self‐efficacy, locus of control, and the theory of planned behavior 1. J Appl Soc Psychol. 32(4):665–683. doi:10.1111/j.1559-1816.2002.tb00236.x
- Australian Transport Council. 2011. National Road Safety Strategy 2011–2020. Canberra: Australian Transport Council.
- Chan DCN, Wu AMS, Hung EPW. 2010. Invulnerability and the intention to drink and drive: an application of the theory of planned behavior. Accid Anal Prev. 42(6):1549–1555. doi:10.1016/j.aap.2010.03.011
- Conner M, Sparks P. 2005. Theory of planned behaviour and health behaviour. Predicting Health Behaviour. 2:170–222.
- Deery HA, Love AW. 1996. The effect of a moderate dose of alcohol on the traffic hazard perception profile of young drink-drivers. Addiction. 91(6):815–827. doi:10.1046/j.1360-0443.1996.9168158.x
- Elliott M, Thomson J. 2010. The social cognitive determinants of offending drivers' speeding behaviour. Accid Anal Prev. 42(6):1595–1605. doi:10.1016/j.aap.2010.03.018
- Fernandes R, Hatfield J, Soames Job RF. 2010. A systematic investigation of the differential predictors for speeding, drink-driving, driving while fatigued, and not wearing a seat belt, among young drivers. Transp Res Part F: Traffic Psychol Behav. 13(3):179–196. doi:10.1016/j.trf.2010.04.007
- Fishbein M, Ajzen I. 2010. Predicting and changing behavior: the reasoned action approach. Taylor & Francis. doi:10.4324/9780203838020
- Li G, Brady JE, Chen Q. 2013. Drug use and fatal motor vehicle crashes: a case-control study. Accid Anal Prev. 60:205–210. doi:10.1016/j.aap.2013.09.001
- Luk JW, Trim RS, Karyadi KA, Curry I, Hopfer CJ, Hewitt JK, Stallings MC, Brown SA, Wall TL. 2017. Unique and interactive effects of impulsivity facets on reckless driving and driving under the influence in a high-risk young adult sample. Pers Individ Dif. 114:42–47. doi:10.1016/j.paid.2017.03.048
- Marillier M, Verstraete AG. 2019. Driving under the influence of drugs. WIREs Forensic Sci. 1(3):e1326. doi:10.1002/wfs2.1326
- McCartt AT, Mayhew DR, Braitman KA, Ferguson SA, Simpson HM. 2009. Effects of age and experience on young driver crashes: review of recent literature. Traffic Inj Prev. 10(3):209–219. doi:10.1080/15389580802677807
- Patton JH, Stanford MS, Barratt ES. 1995. Factor structure of the Barratt impulsiveness scale. J Clin Psychol. 51(6):768–774. doi:10.1002/1097-4679(199511)51:6<768::AID-JCLP2270510607>3.0.CO;2-1
- Peck RC, Gebers MA, Voas RB, Romano E. 2008. The relationship between blood alcohol concentration (BAC), age, and crash risk. J Saf Res. 39(3):311–319. doi:10.1016/j.jsr.2008.02.030
- Potard C, Kubiszewski V, Camus G, Courtois R, Gaymard S. 2018. Driving under the influence of alcohol and perceived invulnerability among young adults: an extension of the theory of planned behavior. Transp Res Part F: Traffic Psychol Behav. 55:38–46. doi:10.1016/j.trf.2018.02.033
- Rivis A, Sheeran P. 2003. Descriptive norms as an additional predictor in the theory of planned behaviour: a meta-analysis. Curr Psychol. 22(3):218–233. doi:10.1007/s12144-003-1018-2
- Siliquini R, Bert F, Alonso F, Berchialla P, Colombo A, Druart A, Kedzia M, Siliquini V, Vankov D, Villerusa A, et al. 2011. Correlation between driving-related skill and alcohol use in young-adults from six European countries: the TEN-D by night project. BMC Public Health. 11(1):526. doi:10.1186/1471-2458-11-526
- Vankov DL. 2020. Smartphone apps and virtual reality as road safety interventions: examining their real-world effects for young drivers [doctoral dissertation]. Queensland University of Technology. doi:10.5204/thesis.eprints.180754