Multinomial Logistic Regression Modeling of Motorcycle Crash Severities and Contributing Factors in Wyoming

Motorcycle riders and passengers are much more likely to be killed or severely injured in a crash, on average about 15% of all traffic fatalities include motorcyclists. Between 2008 2019, the motorcycle crash frequency Wyoming was 286 crashes/year, 17 those being fatal. This paper assesses injury severity motorcycle-related crashes using 12 years data applying multinomial logistic regression modeling determine odds ratios for severity. Four models were developed analyzed, based setting number vehicles involved. The most common factors affecting vehicle maneuver, driver action, junction relation, alcohol, animal speed involvement, helmet use. vicinity intersections significantly increases urban areas, rural areas with multi-vehicle involvement. Certain maneuvers also associated severe outcome.