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Novice drivers' risky driving behavior, risk perception, and crash risk: Findings from the DRIVE study

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Listed:
  • Ivers, R.
  • Senserrick, T.
  • Boufous, S.
  • Stevenson, M.
  • Chen, H.-Y.
  • Woodward, M.
  • Norton, R.

Abstract

Objectives. We explored the risky driving behaviors and risk perceptions of a cohort of young novice drivers and sought to determine their associations with crash risk. Methods. Provisional drivers aged 17 to 24 (n=20822) completed a detailed questionnaire that included measures of risk perception and behaviors; 2 years following recruitment, survey data were linked to licensing and police-reported crash data. Poisson regression models that adjusted for multiple confounders were created to explore crash risk. Results. High scores on questionnaire items for risky driving were associated with a 50% increased crash risk (adjusted relative risk=1.51; 95% confidence interval=1.25, 1.81). High scores for risk perception (poorer perceptions of safety) were also associated with increased crash risk in univariate and multivariate models; however, significance was not sustained after adjustment for risky driving. Conclusions. The overrepresentation of youths in crashes involving casualties is a significant public health issue. Risky driving behavior is strongly linked to crash risk among young drivers and overrides the importance of risk perceptions. Systemwide intervention, including licensing reform, is warranted.

Suggested Citation

  • Ivers, R. & Senserrick, T. & Boufous, S. & Stevenson, M. & Chen, H.-Y. & Woodward, M. & Norton, R., 2009. "Novice drivers' risky driving behavior, risk perception, and crash risk: Findings from the DRIVE study," American Journal of Public Health, American Public Health Association, vol. 99(9), pages 1638-1644.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2008.150367_2
    DOI: 10.2105/AJPH.2008.150367
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    Cited by:

    1. Melissa R. Freire & Cassandra Gauld & Angus McKerral & Kristen Pammer, 2021. "Identifying Interactive Factors That May Increase Crash Risk between Young Drivers and Trucks: A Narrative Review," IJERPH, MDPI, vol. 18(12), pages 1-20, June.
    2. Zhenming Li & Siu Shing Man & Alan Hoi Shou Chan & Jianfang Zhu, 2021. "Integration of Theory of Planned Behavior, Sensation Seeking, and Risk Perception to Explain the Risky Driving Behavior of Truck Drivers," Sustainability, MDPI, vol. 13(9), pages 1-14, May.
    3. Petya Ventsislavova & David Crundall & Pedro Garcia-Fernandez & Candida Castro, 2021. "Assessing Willingness to Engage in Risky Driving Behaviour Using Naturalistic Driving Footage: The Role of Age and Gender," IJERPH, MDPI, vol. 18(19), pages 1-20, September.
    4. Da Tao & Xiaofeng Diao & Xingda Qu & Xiaoting Ma & Tingru Zhang, 2023. "The Predictors of Unsafe Behaviors among Nuclear Power Plant Workers: An Investigation Integrating Personality, Cognitive and Attitudinal Factors," IJERPH, MDPI, vol. 20(1), pages 1-15, January.
    5. Carina Goldbach & Christin Hoffmann & Julia Hoppe & Thomas Pitz & Kirsten Thommes, 2020. "The fast and the furious—An experimental investigation of the pace of life and risky speed choice in traffic," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-20, July.
    6. Shuaiming Chen & Haipeng Shao & Ximing Ji, 2021. "Insights into Factors Affecting Traffic Accident Severity of Novice and Experienced Drivers: A Machine Learning Approach," IJERPH, MDPI, vol. 18(23), pages 1-20, December.
    7. Vicente Joaquín Delgado-Fernández & María del Carmen Rey-Merchán & Antonio López-Arquillos & Sang D. Choi, 2022. "Occupational Traffic Accidents among Teachers in Spain," IJERPH, MDPI, vol. 19(9), pages 1-9, April.
    8. Zhihua Xu & Jingmei Li & Jingzhu Shan & Wensi Zhang, 2021. "Extending the Theory of Planned Behavior to understand residents’ coping behaviors for reducing the health risks posed by haze pollution," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2122-2142, February.
    9. Kristen Pammer & Melissa Freire & Cassandra Gauld & Nathan Towney, 2021. "Keeping Safe on Australian Roads: Overview of Key Determinants of Risky Driving, Passenger Injury, and Fatalities for Indigenous Populations," IJERPH, MDPI, vol. 18(5), pages 1-16, March.
    10. Carina Goldbach & Deniz Kayar & Thomas Pitz & Jörn Sickmann, 2022. "Driving, Fast and Slow: An Experimental Investigation of Speed Choice and Information," SAGE Open, , vol. 12(2), pages 21582440221, April.
    11. John T. Brady, 2012. "Health risk perceptions across time in the USA," Journal of Risk Research, Taylor & Francis Journals, vol. 15(6), pages 547-563, June.
    12. Muhammad Tanveer & Faizan Ahmad Kashmiri & Hassan Naeem & Huimin Yan & Xin Qi & Syed Muzammil Abbas Rizvi & Tianshi Wang & Huapu Lu, 2020. "An Assessment of Age and Gender Characteristics of Mixed Traffic with Autonomous and Manual Vehicles: A Cellular Automata Approach," Sustainability, MDPI, vol. 12(7), pages 1-22, April.

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