title: Motor vehicle-bicycle crashes in Beijing: irregular maneuvers, crash patterns, and injury severity.
abstract: This research presents a comprehensive analysis of motor vehicle-bicycle crashes using 4 years of reported crash data (2004-2007) in Beijing. The interrelationship of irregular maneuvers, crash patterns and bicyclist injury severity are investigated by controlling for a variety of risk factors related to bicyclist demographics, roadway geometric design, road environment, etc. Results show that different irregular maneuvers are correlated with a number of risk factors at different roadway locations such as the bicyclist age and gender, weather and traffic condition. Furthermore, angle collisions are the leading pattern of motor vehicle-bicycle crashes, and different irregular maneuvers may lead to some specific crash patterns such as head-on or rear-end crashes. Orthokinetic scrape is more likely to result in running over bicyclists, which may lead to more severe injury. Moreover, bicyclist injury severity level could be elevated by specific crash patterns and risk factors including head-on and angle collisions, occurrence of running over bicyclists, night without streetlight, roads without median/division, higher speed limit, heavy vehicle involvement and older bicyclists. This study suggests installation of median, division between roadway and bikeway, and improvement of illumination on road segments. Reduced speed limit is also recommended at roadway locations with high bicycle traffic volume. Furthermore, it may be necessary to develop safety campaigns aimed at male, teenage and older bicyclists.
authors.affiliation: Intelligent Transport System Research Center, Wuhan University of Technology, China.
authors.forename: Xinping
authors.initials: X
authors.lastname: Yan
authors.forename: Ming
authors.initials: M
authors.lastname: Ma
authors.forename: Helai
authors.initials: H
authors.lastname: Huang
authors.forename: Mohamed
authors.initials: M
authors.lastname: Abdel-Aty
authors.forename: Chaozhong
authors.initials: C
authors.lastname: Wu
mesh_terms: D000063:Accidents, Traffic / Q000401:mortality / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000368:Aged; D001642:Bicycling / Q000293:injuries*; D002681:China / Q000453:epidemiology; D004779:Environment Design; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D015599:Trauma Severity Indices; D014947:Wounds and Injuries / Q000453:epidemiology / Q000209:etiology*; D055815:Young Adult