Personality traits as predictors of cyclist behaviour

Area of Science:

• Road safety research
• Psychology
• Human factors in transportation

Background:

• Road user behavior and personality traits are key factors in driver crash risk.
• Research on these factors is extensive for car drivers but limited for cyclists.
• Understanding cyclist-specific risk factors is crucial for improving road safety.

Purpose of the Study:

• To develop and validate a cycling behavior questionnaire for Australian cyclists.
• To investigate the relationships between self-reported crashes, behaviors, and personality traits in cyclists.
• To identify demographic and psychological predictors of aberrant cycling behaviors.

Main Methods:

• A sample of 615 Australian cyclists completed personality and behavior questionnaires.
• The Big Five Inventory measured personality traits (agreeableness, extroversion, conscientiousness, neuroticism, openness).
• A modified cyclist behavior questionnaire was analyzed using Principal Components Analysis (PCA) to identify subscales for violations and errors.

Main Results:

• PCA yielded a two-factor model of cyclist behavior: violations and errors.
• Older age and higher weekly cycling distance were associated with fewer errors and violations.
• Male cyclists reported fewer errors than females; extroversion correlated positively with errors and violations; agreeableness and conscientiousness correlated negatively.

Conclusions:

• Demographics, travel characteristics, and personality traits predict aberrant cycling behaviors.
• These behaviors are linked to self-reported crash involvement.
• Findings can inform targeted education and enforcement strategies to enhance cyclist safety.