考虑群体差异的公路客运站旅客集聚行为分析

为降低客运站高峰期旅客集聚引起的安全隐患,利用公路客运全样本购票数据,首先,从集聚概率、集聚时长、集聚强度3个维度构建旅客集聚行为量化模型,获取工作日、节假日及春运不同等级客运站客流集聚特征;然后,考虑旅客个体属性与出行特征属性,分析不同旅客群体的集聚行为特征;最后,通过差异性检验解析集聚行为的影响因素,并提出降低安全...

Analysis on passengers'agglomeration behavior at highway passenger stations considering group difference

In order to reduce potential safety hazards caused by passenger agglomeration at passenger stations during peak periods,based on full sample ticket purchasing data of highway passenger transport,a quantitative model of agglomeration behavior was established from three aspects,which were agglomeration probability,duration and intensity,and gathering characteristics of passenger flows at different levels of stations during weekdays,holidays and Spring Festival were obtained.Then,considering passengers'individual attributes and travel characteristics,agglomeration behavior characteristics of different groups were analyzed.Finally,a difference test was conducted to analyze influencing factors of such behavior,and countermeasures to reduce security risks were put forward.The results show that probability of passenger agglomeration in highway stations follows distribution of six polynomials,and its cumulative probability follows that of quadratic function,with highest probability of it occurring[10,20]min before departure.Regardless of travel distance,most travelers have a short waiting time,but in different periods,their flow concentration intensity and speed for different levels of passenger stations are significantly different.The spatial and temporal clustering characteristics of the first level stations are significant,while randomness of second level ones is stronger.