Zhang Jun, Cao Xian-Bin, Du Wen-Bo, Cai Kai-Quan
School of Electronic and Information Engineering, Beihang University, Beijing, 100083, PR China.
School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, 230026, PR China.
Physica A. 2010 Sep 15;389(18):3922-3931. doi: 10.1016/j.physa.2010.05.042. Epub 2010 Jun 4.
With the rapid development of the economy and the accelerated globalization process, the aviation industry plays a more and more critical role in today's world, in both developed and developing countries. As the infrastructure of aviation industry, the airport network is one of the most important indicators of economic growth. In this paper, we investigate the evolution of the Chinese airport network (CAN) via complex network theory. It is found that although the topology of CAN has remained steady during the past few years, there are many dynamic switchings inside the network, which have changed the relative importance of airports and airlines. Moreover, we investigate the evolution of traffic flow (passengers and cargoes) on CAN. It is found that the traffic continues to grow in an exponential form and has evident seasonal fluctuations. We also found that cargo traffic and passenger traffic are positively related but the correlations are quite different for different kinds of cities.
随着经济的快速发展和全球化进程的加速,航空业在当今世界无论是发达国家还是发展中国家都发挥着越来越关键的作用。作为航空业的基础设施,机场网络是经济增长的最重要指标之一。在本文中,我们通过复杂网络理论研究中国机场网络(CAN)的演变。研究发现,尽管CAN的拓扑结构在过去几年保持稳定,但网络内部存在许多动态切换,这些切换改变了机场和航空公司的相对重要性。此外,我们研究了CAN上交通流量(乘客和货物)的演变。研究发现,交通流量继续呈指数形式增长且有明显的季节性波动。我们还发现,货运量和客运量呈正相关,但不同类型城市的相关性差异很大。