Comparative application of the two models in the analysis of influencing factors of pedestrian injury severity
This study aims to deeply reveal the influence of different factors on pedestrian injuries during the development stages of pedestrian-vehicle collisions.It comprehensively considers the combined effects of personnel,vehicle,and environmental factors,selecting 11 dynamic and static variables related to the degree of accident loss from the pre-accident and during-accident stages.Binary logistic regression and Probit regression models were utilized to contrastively analyze the significant factors affecting the severity of pedestrian injuries.The results indicated that both models have good fit,as evidenced by passing the Hosmer-Lemeshow test and information criterion tests.Age of the pedestrian,deceleration before the collision,and vehicle speed at the time of collision were common significant factors affecting the severity of pedestrian injuries,with differences in the significance ranking of these variables across the two models.Based on these findings,it is recommend to enhance traffic safety education for the elderly and to strengthen driver training on deceleration in complex environments.
NETL
NSTL
万方数据
