Errors and violations in relation to motorcyclists' crash risk

This study was conducted to: (a) develop a questionnaire that reliably measures the behavior of motorcyclists and (b) test which types of behavior predict motorcyclists' crash risk. A Motorcycle Rider Behavior Questionnaire, consisting of 43 items to measure the self-reported frequency of specific riding behaviors, was developed and administered to a sample of motorcyclists (N = 8666). Principal components analysis revealed a 5-factor solution (traffic errors, control errors, speed violations, performance of stunts and use of safety equipment). Generalized linear modeling showed that, while controlling for the effects of age, experience and annual mileage, traffic errors were the main predictors of crash risk. For crashes in which respondents accepted some degree of blame, control errors and speed violations were also significant predictors of crash risk. Implications of the findings are discussed in relation to deciding which countermeasures may be most effective at reducing motorcycle casualty rates.

• Record URL:
  • http://www.sciencedirect.com/science/article/B6V5S-4M33W82-2/2/64610464e3429a49e74b056962949759
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier
• Authors:
  • Elliott, Mark A
  • Baughan, Christopher J
  • Sexton, Barry F
• Publication Date: 2007-5

Language

• English

Media Info

• Media Type: Print
• Features: References; Tables;
• Pagination: pp 491-499
• Serial:
  • Accident Analysis & Prevention
  • Volume: 39
  • Issue Number: 3
  • Publisher: Elsevier
  • ISSN: 0001-4575
  • Serial URL: http://www.sciencedirect.com/science/journal/00014575

Subject/Index Terms

• TRT Terms: Behavior; Countermeasures; Crash risk forecasting; Driver errors; Human factors in crashes; Motorcycle crashes; Motorcycle driving; Motorcyclists; Questionnaires; Traffic violations
• Uncontrolled Terms: Linear models
• Subject Areas: Highways; Safety and Human Factors; Security and Emergencies; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01051280
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Jun 14 2007 11:54AM