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Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions

Author

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  • Yubing Zheng

    (School of Transportation, Southeast University, Nanjing 211189, China)

  • Yang Ma

    (School of Transportation, Southeast University, Nanjing 211189, China)

  • Nan Li

    (School of Transportation, Southeast University, Nanjing 211189, China)

  • Jianchuan Cheng

    (School of Transportation, Southeast University, Nanjing 211189, China)

Abstract

In recent years, the increasing rate of road crashes involving cyclists with a disproportionate overrepresentation in injury statistics has become a major concern in road safety and public health. However, much remains unknown about factors contributing to cyclists’ high crash rates, especially those related to personal characteristics. This study aims to explore the influence of cyclist personality traits and cycling behaviors on their road safety outcomes using a mediated model combining these constructs. A total of 628 cyclists completed an online questionnaire consisting of questions related to cycling anger, impulsiveness, normlessness, sensation seeking, risky cycling behaviors, and involvement in crash-related conditions in the past year. After the psychometric properties of the employed scales were examined, the relationships among the tested constructs were investigated using structural equation modeling. The results showed that cyclists’ crash risks were directly predicted by risky cycling behaviors and cycling anger, and the effects of cycling anger, impulsiveness, as well as normlessness on crash risks, were mediated by cycling behaviors. The current findings provide insight into the importance of personality traits in impacting cycling safety and could facilitate the development of evidence-based prevention and promotion strategies targeting cyclists in China.

Suggested Citation

  • Yubing Zheng & Yang Ma & Nan Li & Jianchuan Cheng, 2019. "Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions," IJERPH, MDPI, vol. 16(24), pages 1-19, December.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:4881-:d:293937
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