摘要
以石家庄市公交客流调查数据为实证研究对象,对城市公共交通网络的客流移动模式进行了统计分析。发现公交网络的站点上下车人数具有强烈的异质性,站点间客流量分布具有幂律分布特征,而公交乘客却具有峰值的出行距离分布,可以用负二项分布函数拟合。用随机游走模型再现了实证中观测到的标度性站间客流分布和有峰值的出行距离分布,并探讨了这些统计特征形成的可能机制。
The mobility patterns of passengers in a public transport network are explored based on Shijiazhuang bus passengers survey data.The results show that the inflows and outflows of different stations in the network are strongly heterogeneous and the traffic flow among stations follows a power law distribution.The results also show that the travel distance distribution of public transport passengers is peaked,which can be fitted by a negative binomial distribution.The potential mechanism leading to these statistical characteristics are explained by three random walk models,one of which can reproduce the scaling distribution of traffic flow and the peaked distribution of travel distance.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2012年第1期2-7,共6页
Journal of University of Electronic Science and Technology of China
基金
河北省科技支撑计划(10217114D)
河北省教育厅科研计划(Z2009139)
关键词
人类动力学
人类移动模式
公交网络
随机游走
human dynamics
human mobility patterns
public transport network
random walk
