Study On Illegal Crossing Behavior Of Delivery Electric Bikes At Signalized Intersections

In recent years,with the rapid development of online ordering and distribution service in the same city,takeaway deliverer has become the main force of offline distribution services.Their transportation tools are mainly electric bicycles(e-bikes).Takeaway deliverer has also become an important part of urban non-motor vehicle travel,their illegal traffic behaviors are common in delivery trips.Among them,the behavior of running red lights not only affects the civilized image of the city,but also causes a lot of traffic accidents.However,there are few studies on the traffic safety of takeaway deliverers in China,so it is necessary to explore the traffic safety problem of this group.In this paper,the illegal crossing behavior of delivery riders was taken as the research object.From the perspectives of traffic psychology and actual street crossing behavior,the characteristics and influencing factors of illegal street crossing behavior of takeaway deliverers are systematically investigated.First,a questionnaire survey based on the theory of planned behavior(TPB)was conducted to explore the psychological factors affecting the illegal crossing of delivery riders.And on the basis of three basic variables of TPB,increasing Descriptive Norm and Conformity Tendency.Based on the investigation of the psychological data of delivery riders about red-light running(RLR)behavior,the structural equation model of the variables of illegal crossing was established.The results of the model show that attitude,perceived behavior control and conformity tendency have significant positive effects on the behavior of running a red light,and exemplary norms have negative effects on the behavior of running a red light.Second,from the perspective of the actual road crossing behavior of e-bikes,the characteristics of their illegal crossing behavior were explored,and the field video recording experiment was carried out.The dynamic data of the crossing behavior of delivery e-bikes and ordinary e-bikes at signalized intersections were obtained by means of video collection,and then the traffic characteristics of the crossing behavior of e-bikes,the distribution law of waiting time and the influencing factors of the actual RLR behavior was analyzed.First,the cross-contingency tables were used to analyze the traffic characteristics of e-bikes crossing the street,including the distribution of e-bike samples,the distribution characteristics of illegal crossing and the distribution characteristics of crossing speed.Then,Kaplan-Meier analysis method and Cox model in survival analysis were used to further analyze the waiting time distribution of ebikes.The results showed that 9 variables,including observation time period,age,type of ebikes and waiting position,had significant influence on the waiting time.Finally,the bayesian logistic regression model was used to analyze the characteristics and influencing factors of the illegal crossing behavior of the two types of e-bike riders,and the bayesian logistic models of the mixed group and the subgroup of the e-bikes were employed,respectively.Finally,bayesian random effect logistic model was used to investigate the influence of signalized intersection on the aggressiveness degree of RLR behaviors,it was found that there were significant differences in the degree of aggressiveness between different intersections.The research in this paper has enriched the existing research in the field of non-motor vehicle illegal crossing at signalized intersection and provided theoretical basis and data support for the traffic safety management and regulation measures of delivery e-bikes.