Pedestrian crossing behavior analysis and modeling
Road traffic accidents caused by pedestrians violating traffic rules and regulations constitute a significant proportion of total traffic fatalities.To mitigate these accidents,this study categorizes pedestrian crossing behaviors into three types:time violations,space violations,and compliance.It examines these behaviors across various factors including individual characteristics,street crossings,traffic conditions,and infrastructure facilities.The factors influencing pedestrian traffic violation behavior are analyzed using a multi-level cross-linked list method,and a multiple Logistic model is established.Test results reveal collinearity issues within the model.Utilizing the stepwise regression method,10 significant factors affecting pedestrian violation behavior are identified.Through model analysis,it was observed that individuals aged 18 to 60 are more likely to commit time violations compared to those aged 60 and above.Furthermore,carrying items significantly influences violations,with carrying items increasing the likelihood of choosing both time and space violations.Additionally,group dynamics,education level,the size of the pedestrian group waiting to cross,comprehension of signal lights,visual acuity,crossing location,and presence of guardrails on the road also influence the choice of unlawful behavior.Higher education levels correlate with lower violation probabilities,while larger pedestrian groups waiting to cross the street correspond to higher violation probabilities.Individuals with poor eyesight exhibit a higher tendency towards time violation behavior.Regarding intersection type and road structure,oblique pedestrians are more inclined towards time violations,whereas pedestrians at T-intersections exhibit a lower rate of time violation.The increased probability of pedestrian violation in non-guardrail sections suggests that guardrails have a significant impact on pedestrian behavior.There is a negative correlation between crossing location and time and space violation,indicating that the probability of pedestrians choosing time violation is higher when they are farther away from vehicles.The results of this study can provide a basis for the formulation of relevant measures of active intervention and the construction of infrastructure in the pedestrian crossing process in China,aiming to improve pedestrian safety.
safety social engineeringpedestrian violationpedestrian transportationmultiple Logistic modelinfluencing factor
万方数据
维普
