Causal Analysis of E-bike Traffic Accident Severity Considering Built Environment
The study aimed to investigate the influential factors contributing to e-bike traffic accident severity,particularly considering the impact of the built environment.First,18 potential influencing variables were identified,based on accident attributes,cyclist characteristics,attributes of the involved vehicles and drivers,road conditions,and elements of the built environment.A random parameter Logit model was then developed,considering heterogeneity in means and variances.Marginal effects were employed to quantify the influence of the significant variables on accident severity.Sampled data from e-bike accidents in Beijing,China,over the past five years were utilized for analysis.The results showed that factors such as accidents occurring between 19:00 and 7:00 of the next day,cyclists aged over 40 years,presence of heavy(large)trucks,increased distance to the nearest hospital,and adverse weather conditions would increase the severity of e-bike accidents.Among the built environment factors,the parameter of the distance to the nearest hospital exhibits a stochastic nature,following a normal distribution in cases of fatal accidents.Adverse weather conditions and road sections amplify the mean value of the distance to the nearest hospital,while the age group of drivers between 40 and 60 increases its variance heterogeneity.In addition,the parameter of general urban roads in injury accidents adheres to a random parameter with a normal distribution,and road sections increase its mean heterogeneity.These findings provide a theoretical underpinning for reducing the severity of e-bike accidents.
万方数据
维普
