AN EXPLORATORY MULTINOMIAL LOGIT ANALYSIS OF SINGLE-VEHICLE MOTORCYCLE ACCIDENT SEVERITY

The focus of most research on motorcycle accident severity is on univariate relationships between severity and an explanatory variable of interest (e.g., helmet use). The potential ambiguity and bias that univariate analyses create in identifying the causality of severity has generated the need for multivariate analyses in which the effects of all factors that influence accident severity are examined. This paper addresses this need by presenting a multinomial logit formulation of motorcycle-rider accident severity in single-vehicle collisions. Five levels of severity are examined: 1) property damage only, 2) possible injury, 3) evident injury, 4) disabling injury, and 5) fatality. With 5-year data on single-vehicle motorcycle accidents from the state of Washington, investigators estimate a multivariate model of motorcycle-rider severity that takes into account the environmental factors, roadway conditions, vehicle characteristics, and rider attributes. The findings reveal that the multinomial logit formulation is a promising approach to evaluate the determinants of motorcycle accident severity.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1800052
• Corporate Authors:

  Elsevier Science, Incorporated

  660 White Plains Road
  Tarrytown, NY  United States  10591-5153
• Authors:
  • Shankar, V
  • Mannering, F
• Publication Date: 1996

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 183-194
• Serial:
  • Journal of Safety Research
  • Volume: 27
  • Issue Number: 3
  • Publisher: Elsevier
  • ISSN: 0022-4375
  • Serial URL: http://www.sciencedirect.com/science/journal/00224375

Subject/Index Terms

• TRT Terms: Crash severity; Driver experience; Environmental impacts; Environmental quality; Formulations; Logits; Motorcycle crashes; Motorcycling; Multinomial logits; Multivariate analysis; Single vehicle crashes; Vehicle characteristics
• Uncontrolled Terms: Road conditions
• Subject Areas: Data and Information Technology; Environment; Highways; Safety and Human Factors; I81: Accident Statistics;

Filing Info

• Accession Number: 00729981
• Record Type: Publication
• Report/Paper Numbers: HS-042 391
• Files: HSL, TRIS, ATRI
• Created Date: Dec 10 1997 12:00AM