Comparison of Severity of Motorcyclist Injury by Crash Types
Abstract
The purpose of this study was to examine statewide motorcycle crash data from the state of Ohio to identify those factors most strongly associated with the level of injury sustained by motorcyclists involved in crashes. The year 2009 marked the first time since 1997 that Ohio experienced fewer motorcycle fatalities than in the previous year; this result was consistent with national trends over this same period. Since anecdotal evidence suggested that much of this result was due to decreases in motorcycle travel, an investigation of rider, crash, and environmental factors that influenced injury severity was an important step toward sustaining this reduction. The effects of such factors in various types of motorcycle crashes were compared. Multinomial logit models were developed for single-vehicle and multivehicle motorcycle crashes at both intersection and nonintersection locations. The results showed that the impacts of relevant crash factors varied by crash type and location and that severe injuries were more likely when high speed or alcohol was involved. Collisions with fixed objects and high-impact crashes, such as angle and head-on collisions, also produced dramatic increases in injury severity. Helmet use continued to provide the most promising means of reducing severe and fatal injuries in all types of crashes. Helmet use was found to reduce the likelihood of injury by 34.4% in single-vehicle crashes and between 12.4% and 14.1% in multivehicle crashes.
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References
1. Traffic Safety Facts: Motorcycles. Report DOT HS 811 159. NHTSA, U.S. Department of Transportation, 2009.
2. Ohio Department of Public Safety. Ohio Traffic Crash Facts 2008. Columbus, 2009. http://www.publicsafety.ohio.gov/links/HSY7606-2008.pdf. Accessed July 29, 2010.
3. NHTSA, U.S. Department of Transportation. Fatality Analysis Reporting System: Query FARS Data. 2010. http://www-fars.nhtsa.dot.gov/QueryTool/QuerySection/SelectYear.aspx. Accessed July 29, 2010.
4. 2008 Motorcycle Industry Council Owner Survey. Motorcycle Industry Council, Irvine, Calif., 2009.
5. NHTSA, U.S. Department of Transportation. Table 10. In Traffic Safety Facts, Final Edition: 1975–2007 (annual issues). March 2009. http://www-nrd.nhtsa.dot.gov.
6. Insurance Institute for Highway Safety. Current US Motorcycle and Bicycle Helmet Laws. Washington, D.C., 2010. http://www.iihs.org/laws/helmetusecurrent.aspx. Accessed July 30, 2010.
7. Houston D. J. Are Helmet Laws Protecting Young Motorcyclists? Journal of Safety Research, Vol. 38, No. 3, 2007, pp. 329–336.
8. Savolainen P. T., and Mannering F. L. Effectiveness of Motorcycle Training and Motorcyclists’ Risk-Taking Behavior. In Transportation Research Record: Journal of the Transportation Research Board, No. 2031, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 52–58.
9. Daniello A., Gabler H. C., and Mehta Y. A. Effectiveness of Motorcycle Training and Licensing. In Transportation Research Record: Journal of the Transportation Research Board, No. 2140, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 206–213.
10. Motorcycle Safety Foundation. National Agenda for Motorcycle Safety. Irvine, Calif., 2000. http://www.nhtsa.gov/people/injury/pedbimot/motorcycle/00-NHT-212-motorcycle/toc.html. Accessed July 30, 2010.
11. Mannering F. L., and Grodsky L. L. Statistical Analysis of Motorcyclists’ Perceived Accident Risk. Accident Analysis and Prevention, Vol. 27, No. 1, 1995, pp. 21–31.
12. Heger R., and Zehn A. Road Design and Human Factors Associated to Motorcycle Accidents—A Contribution to Safer Roads. 3rd International Symposium on Highway Geometric Design (CD-ROM), Transportation Research Board of the National Academies, Washington, D.C., 2005.
13. Creaser J. I., Ward N. J., Rakauskas M. E., Boer E., Shankwitz C., and Nardi F. Effects of Alcohol on Motorcycle Riding Skills. Report DOT HS 810 877. NHTSA, U.S. Department of Transportation, 2007.
14. Haworth N., Greig K., and Nielson A. Comparison of Risk Taking in Moped and Motorcycle Crashes. In Transportation Research Record: Journal of the Transportation Research Board, No. 2140, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 182–187.
15. McKnight A. S., Becker L. R., Tippetts A. S., and Hohn R. L. Impaired Motorcycle Operation: Evaluation of Riders Helping Riders Program. In Transportation Research Record: Journal of the Transportation Research Board, No. 2140, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 188–194.
16. Quddus M. A., Chin H. C., and Wang J. Motorcycle Crash Prediction Model for Signalized Intersections. In Urban Transport VII: Urban Transport and the Environment in the 21st Century (Sucharov L. J., and Brebbia C. A., eds.), Wessex Institute of Technology, Ashurst, United Kingdom, 2001, pp. 609–716.
17. Harnen S., Radin Umar R. S., Wong S. V., and Wan Hashim W. I. Motorcycle Accident Prediction Model for Junctions on Urban Roads in Malasia. Advances in Transportation Studies: An International Journal, Section A8, 2006, pp. 31–40.
18. Haque M. M., Chin H. C., and Huang H. Factors Affecting Motorcycle Crashes at Signalized Intersections. Presented at 88th Annual Meeting of the Transportation Research Board, Washington, D.C., 2009.
19. Schneider W. H. IV, Savolainen P. T., and Moore D. N. Effects of Horizontal Curvature on Single-Vehicle Motorcycle Crashes Along Rural Two-Lane Highways. In Transportation Research Record: Journal of the Transportation Research Board, No. 2194, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 91–98.
20. Shankar V., and Mannering F. An Exploratory Multinomial Logit Analysis of Single-Vehicle Motorcycle Accident Severity. Journal of Safety Research, Vol. 27, No. 3, 1996, pp. 183–194.
21. Quddus M., Noland R., and Chin H. An Analysis of Motorcycle Injury and Vehicle Damage Severity Using Ordered Probit Models. Journal of Safety Research, Vol. 33, No. 4, 2002, pp. 445–462.
22. Savolainen P., and Mannering F. Probabilistic Models of Motorcyclists’ Injury Severities in Single- and Multivehicle Crashes. Accident Analysis and Prevention, Vol. 39, 2007, pp. 955–963.
23. de Lapparent M. Empirical Bayesian Analysis of Accident Severity for Motorcyclists in Large French Urban Areas. Accident Analysis and Prevention, Vol. 38, No. 2, 2006, pp. 260–268.
24. Farmer C. M. Reliability of Police-Reported Information for Determining Crash and Injury Severity. Traffic Injury Prevention, Vol. 4, No. 1, 2003, pp. 38–44.
25. Hurt H. H., Ouellet J. V., and Thom D. R. Motorcycle Accident Cause Factors and Identification of Countermeasures, Vol. 1: Technical Report. Final report. Traffic Safety Center, University of Southern California, Los Angeles, Jan. 1981.
26. Motorcycle Accidents in Depth Study: In-Depth Investigations of Accidents Involving Powered Two Wheelers. Version 2.0. European Association of Motorcycle Manufacturers, Brussels, Belgium, 2009.
27. Carson J., and Mannering F. L. The Effect of Ice Warning Signs on Ice-Accident Frequencies and Severities. Accident Analysis and Prevention, Vol. 33, No. 1, 2001, pp. 99–109.
28. Lee J., and Mannering F. L. Impact of Roadside Features on the Frequency and Severity of Run-off-Roadway Accidents: An Empirical Analysis. Accident Analysis and Prevention, Vol. 34, No. 2, 2002, pp. 149–161.
29. Ulfarsson G., and Mannering F. L. Differences in Male and Female Injury Severities in Sport-Utility Vehicle, Minivan, Pickup and Passenger Car Accidents. Accident Analysis and Prevention, Vol. 36, No. 2, 2004, pp. 135–147.
30. Savolainen P. T., and Ghosh I. Examination of Factors Affecting Driver Injury Severity in Michigan's Single-Vehicle–Deer Crashes. In Transportation Research Record: Journal of the Transportation Research Board, No. 2078, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 17–25.
31. Schneider W. H. IV, Savolainen P. T., and Zimmerman K. H. Driver Injury Severity Resulting from Single-Vehicle Crashes Along Horizontal Curves on Rural Two-Lane Highways. In Transportation Research Record: Journal of the Transportation Research Board, No. 2102, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 85–92.
32. Schneider W. H. IV, and Savolainen P. T. Mixed Logit Analysis of Bicyclist Injury Severity Resulting from Motor Vehicle Crashes at Intersection and Non-Intersection Locations. Accident Analysis and Prevention, Vol. 43, No. 3, 2010, pp. 621–630.
33. Milton J. C., Shankar V. N., and Mannering F. L. Highway Accident Severities and the Mixed Logit Model: An Exploratory Empirical Analysis. Accident Analysis and Prevention, Vol. 40, No. 1, 2008, pp. 260–266.
34. Savolainen P. T., Mannering F. L., Lord D., and Quddus M. A. The Statistical Analysis of Highway Crash-Injury Severities: A Review and Assessment of Methodological Alternatives. Accident Analysis and Prevention, Vol. 43, No. 5, 2010, pp. 1879–2057.
35. Washington S., Karlaftis M., and Mannering F. Statistical and Econometric Methods for Transportation Data Analysis. CRC Press, Boca Raton, Fla., 2003.
36. Shibata A., and Fukuda K. Risk Factors of Fatality in Motor Vehicle Traffic Accidents. Accident Analysis and Prevention, Vol. 26, No. 3, 1994, pp. 391–397.
37. Lin M. R., Chang S. H., Huang W., Huang H. F., and Pai L. Factors Associated with Severity of Motorcycle Injuries Among Young Adult Riders. Annals of Emergency Medicine, Vol. 41, 2003, pp. 783–791.
38. Clarke D., Ward P., Bartle C., and Truman W. The Role of Motorcyclist and Other Driver Behavior in Two Types of Serious Accident in the UK. Accident Analysis and Prevention, Vol. 29, 2007, pp. 974–981.
39. Hedlund J. Motorcyclist Traffic Fatalities by State. Governors’ Highway Safety Association, 2010. http://www.ghsa.org/html/publications/spotlight/pdf/spotlight_motorcycles.pdf. Accessed July 29, 2010.
40. Ohio Department of Transportation. Ohio Traffic Fatalities Reach Historic Low in 2009. Columbus, 2010. http://www.dot.state.oh.us/news/Pages/OhioTrafficFatalitiesReachHistoricLowIn2009.aspx. Accessed July 29, 2010.
41. Winston C., Maheshri V., and Mannering F. An Exploration of the Offset Hypothesis Using Disaggregate Data: The Case of Airbags and Antilock Brakes. Journal of Risk Uncertainty, Vol. 32, No. 2, 2006, pp. 83–99.
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