摘要
针对网约配送员危险骑行行为的发生率远超普通电动车骑行者问题,通过路段观测的方法,收集并记录网约配送员的人口统计学信息及3种典型危险骑行行为(占道骑行、逆向骑行和使用手机);通过二元Logistic回归模型对观测数据进行分析,探究网约配送员危险骑行行为特性。结果表明:男性的危险骑行行为发生率要高于女性;年长组危险骑行行为发生率更高;不佩戴头盔的网约配送员会有更多的危险骑行行为;非机动车道密度、机动车道密度与速度因素对不同的危险骑行行为也有显著影响。研究结果可为交通管理部门及相关企业针对网约配送员特殊群体制定相关管理制度及安全培训措施提供借鉴,也有利于道路交通安全的改善。
In view of the problem that the incidence of risk riding behaviors of takeaway deliverers is far higher than that of ordinary electric bike riders,this paper presents the demographic information and three typical risk riding behaviors(motorway occupancy,reverse cycling,cell phone)of the takeaway deliverers.A binary logistic regression model is used to analyze the observed data to explore the characteristics of risk riding behaviors of takeaway deliverers.The result shows the incidence of risk riding behaviors in males is higher than that in females.The older group has a higher incidence of risk riding behaviors.Deliverers without helmets have more risk riding behaviors.Non-motorized vehicle traffic density,motorized vehicle traffic density and speed also have significant effects on different risk riding behaviors.The research result can provide an effective basis for traffic management departments and related enterprises to formulate targeted management systems and safety training measures for the special group of delivery personnel for online orders,in order to improve road traffic safety.
作者
刘凯
姜康
LIU Kai;JIANG Kang(School of Automotive and Transportation Engineering,Hefei University of Technology,Hefei 230009,China)
出处
《交通科技与经济》
2021年第5期1-6,共6页
Technology & Economy in Areas of Communications
基金
国家自然科学青年基金项目(51905142)。
