five

Identifying motorist characteristics associated with youth bicycle–motor vehicle collisions

收藏
Figshare2019-08-13 更新2026-04-29 收录
下载链接:
https://figshare.com/articles/dataset/Identifying_motorist_characteristics_associated_with_youth_bicycle_motor_vehicle_collisions/9588161
下载链接
链接失效反馈
官方服务:
资源简介:
Objective: The objective of this study was to identify driver characteristics associated with youth bicycle–motor vehicle collisions in Alberta, Canada. Methods: Edmonton and Calgary police collision report data from the years 2010–2014 were used. From these data, motor vehicle collisions involving youth ( Results: Four hundred twenty-three drivers involved in youth bicycle–motor vehicle collisions were identified, as were 243,927 not-at-fault control drivers. Drivers >54 years old had higher odds of involvement in youth bicycle–motor vehicle collisions than drivers between 25 and 39 years old (aOR = 1.37; 95% CI, 1.03, 1.82). Compared to driving between 3:01 p.m. and 6:00 p.m., driving between 12:01 a.m. and 6:00 a.m. (aOR = 0.27; 95% CI, 0.11, 0.66), between 6:01 a.m. and 9:00 a.m. (aOR = 0.61; 95% CI, 0.44, 0.85), or between 9:01 a.m. and 12:00 p.m. (aOR = 0.26; 95% CI, 0.16, 0.41) had lower odds of bicyclist collision, whereas driving between 6:01 p.m. and 12:00 a.m. had higher odds (aOR = 1.34; 95% CI, 1.01, 1.79). Driving a truck/van had lower odds of bicyclist collision compared to driving a passenger car (aOR = 0.67; 95% CI, 0.48, 0.94). Conclusions: Culpability analysis is typically applied to motorists to identify transient exposures; however, this study used culpability analysis to select control drivers who could be compared with drivers involved in youth bicycle–motor vehicle collisions. This study highlights motorist characteristics in youth bicycle–motor vehicle collisions. In doing so, we hope to inform primary prevention strategies for motorists and the environment that will reduce collisions.
创建时间:
2019-08-13
二维码
社区交流群
二维码
科研交流群
商业服务