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引用本文:党亚茹,李雯静.���������ӽǵĺ��տ����ṹ����[J].交通运输系统工程与信息,2010,10(5):167-174.
作者姓名:党亚茹  李雯静
作者单位:?й?????? a. ??????????????b. ???????????????? 300300
基金项目:中国民用航空局科技基金
摘    要:运用NetDraw软件,绘制出我国航空客流网络的结构图. 采用网络理论和方法,从结构特征、统计特征、度分布和中心性等角度,对2002—2008年我国航空客流网络的结构进行实证分析,从而为我国航空客运的发展提供量化参考和理论支持. 研究表明:在我国航空客流网络中,平均每个城市与其他12个城市有直接的航空联系,网络内任意两个城市之间经过平均1.3次中转即可到达;短平均路径长度(2.3左右)和高聚类系数(大于0.7)表明网络具有小世界特性;网络节点的度分布服从双段幂律分布,具有无标度特性;网络的密度值极小,中心性较低,发展不均衡,呈现出明显的“东重西轻”发展格局.

关 键 词:????????  ???????  ?????  ????  ??????????  
收稿时间:2010-4-14
修稿时间:2010-7-11

Air Passenger Flow Structure Analysis with Network View
DANG Ya-ru,LI Wen-jing.Air Passenger Flow Structure Analysis with Network View[J].Transportation Systems Engineering and Information,2010,10(5):167-174.
Authors:DANG Ya-ru  LI Wen-jing
Institution:a.Civil Aviation S&T Educational Evaluation Research Center??b. Economics and Management College?? Civil Aviation University of China, Tianjin 300300, China
Abstract:The structure diagrams of air passenger flow network of China are plotted with NetDraw. From the perspective of structural characteristics, statistic characteristics, degree distribution, and network centrality, the paper analyzes the structure of air passenger flow in China from the year 2002 to 2008 using theory and methods of network. It provides quantitative reference and theoretical support for the development of air passenger transport of China. Results show that a city averagely has direct air links with other 12 cities and any city can be reached by transferring for 1.3 times in the network. A short average path length (about 2.3) and a high degree of clustering (above 0.7) shows that the network has the characteristic of small-world. The cumulative degree distribution obeys the two-regime power law which demonstrates the property of scale-free. The density of the network is extremely small and centrality is low. The development of air passenger network of China is un-balanced, showing a weight east and light west pattern.
Keywords:air transportation  air passenger flow  network structure  degree distribution  network centrality
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