A mixed logit analysis of motorists' right-of-way violation in motorcycle accidents at priority T-junctions.
Research suggested that motorists' right-of-way (ROW) violation in automobile-motorcycle gap-acceptance accidents at priority (i.e., stop-/yield-controlled) T-intersections has been a safety concern to motorcyclists. This study examines the characteristics of automobile-motorcycle gap-acceptance accidents that occurred at such locations. British Stats19 accident injury database during 1991-2005 are examined in detail. Automobile-motorcycle gap-acceptance accidents are classified into three crash scenarios: approach-turn, angle crossing, and angle merging crashes. Mixed (random parameters) logit models are estimated to investigate the contributory factors to motorists' ROW violation in these three crash types. Crash features are also compared among gap-acceptance accidents and other crash scenarios. The methodological approach adopted allows for the individuals within the observations to have different parameter estimates as opposed to a single parameter representing all observations (i.e., accounts for unobserved heterogeneity potentially relating to roadway/environmental characteristics, and motorist behaviours). It was found that motorcycles' ROW was more likely to be violated on non-built-up roads, and in diminished light conditions, with non-uniform effects across the observations. Elderly/female motorists appeared to be over-represented in gap-acceptance crashes. Implications of the findings are discussed.
Pai
Chih-Wei
CW
Department of Transportation and Communication Management Science, National Cheng-Kung University, Tainan 70101, Taiwan, ROC. stanhansen 99@yahoo.com
Hwang
Kevin P
KP
Saleh
Wafaa
W
D000063:Accidents, Traffic; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D001334:Automobile Driving / Q000331:legislation & jurisprudence*; D004779:Environment Design; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D018986:Motor Vehicles; D009049:Motorcycles; D012307:Risk Factors; D006113:United Kingdom; D055815:Young Adult