Motorcycle accidents, rider behaviour, and psychological models

Özkan T., Lajunen T., Dogruyol B., Yildirim Z., Coymak A.

ACCIDENT ANALYSIS AND PREVENTION, vol.49, pp.124-132, 2012 (SSCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 49
  • Publication Date: 2012
  • Doi Number: 10.1016/j.aap.2011.03.009
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus
  • Page Numbers: pp.124-132
  • Keywords: Motorcycle accidents, Motorcycle rider behaviour, Theory of Planned Behaviour, Health Belief Model, Locus of control, VIOLATIONS, INVOLVEMENT, BELIEFS, DRIVERS, ERRORS, LOCUS
  • Abdullah Gül University Affiliated: No


The aims of the present study were to: (a) investigate the factor structure of the Motorcycle Rider Behaviour Questionnaire (MRBQ) [Elliott, MA, Baughan, B.J., Sexton, B.F., 2007. Errors and violations in relation to motorcyclists' crash risk. Accident Analysis and Prevention 39, 491-499] in among Turkish riders, and (b) study the relationships between different types of rider behaviour and motorcyclists' active and passive accidents and offences, and (c) investigate the usefulness of the Theory of Planned Behaviour (TPB), Health Belief Model (HBM), and Locus of Control (T-LOC) in explaining rider behaviours. MRBQ was administered to a sample of motorcyclists (N = 451). Principal components analysis yielded a 5-factor solution including traffic errors, control errors, speed violations, performance of stunts, and use of safety equipment. Annual mileage was related to higher number of active and passive accidents and offences whereas age was related to lower number of active and passive accidents. Stunts were the main predictors of active accidents and offences. Speeding violations predicted offences. Stunts and speeding violations were associated with the fate factor of the T-LOC, and with attitudes, subjective norms, and intention components of TPB, and cues to action and perceived severity components of the HBM. Use of safety equipment was related to the high level of perceived behavioural control and intention components of the TPB, the low score of perceived barriers component of the HBM, and the low fate factor of the T-LOC. While traffic errors were associated with the high score of perceived barriers and cues to action component of the HBM, control errors were related to the high score of vehicle and environment factor of the T-LOC. (C) 2011 Elsevier Ltd. All rights reserved.