Finding Fault in Motorcycle Crashes in Hawaii: Environmental, Temporal, Spatial, and Human Factors

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Abstract
Patterns of fault among drivers and motorcycle riders involved in collisions in Hawaii are examined. Personal and behavioral characteristics of drivers and riders involved in crashes are described, then temporal, roadway, and environmental factors associated with crashes between motorcycles and other motor vehicles are discussed. An argument is made that focusing on fault provides a strategic starting point for educational and traffic enforcement programs for drivers and motorcycle riders alike. A fault model is built by using logistic regression to predict the odds of fault for motorcyclists and vehicles involved in crashes. The spatial distribution of at-fault motorcyclists and drivers is mapped to determine if there are distinct spatial patterns for enforcement and educational efforts. The implications for motorcycle safety, driver education, law enforcement, and traffic safety research are discussed.

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