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机构地区:[1]南京航空航天大学经济与管理学院,江苏南京210016
出 处:《预测》2008年第2期68-72,共5页Forecasting
基 金:国家自然科学基金资助项目(70671089);国家重点基金资助项目(10635040)
摘 要:应用复杂网络方法,深入地研究了公交巴士网络在地理空间中的随机组织演化机制,提出了两个指标:邻接节点度平均和、邻接节点间平均连接边。通过对我国四个城市的公交巴士网络实证分析,获得了三个主要结论:(1)网络节点度分布的尾部服从指数分布;(2)节点间随机连接;(3)邻接节点间的连接边数目与节点度线性正相关。结论(1)和(2)表明城市公交巴士网络具有随机组织的演化性质。实证研究结果对公交巴士系统的网络建模有重要的学术价值。In this paper, the empirical structural properties of four urban ground bus-transport networks (abbr. BTN ) in China are studied in the perspective of complex networks. In order to identify the evolution mechanism with random organizing, new parameters of the sum of the nearest neighbor degrees and the sum of the nearest neighbor links are proposed. Three empirical results are obtained: ( 1 )The degree distributions are exponential law with lower head on degree unity; (2)The pairs of vertices of the nearest neighbors have random degree relation; (3)The edges among the nearest neighbor vertices have linear relation with one vertex' s degree. From the results of ( 1 ) and (2), it is suggested that BTNs should be organized stochastically. The empirical results provide one framework for more real BTNs' model, which can capture the underlying characters of the public bus transport systems with geographical topology.
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