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Chin. Phys. B, 2012, Vol. 21(2): 028903    DOI: 10.1088/1674-1056/21/2/028903
INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY Prev   Next  

Analysis of the Chinese air route network as a complex network

Cai Kai-Quan(蔡开泉), Zhang Jun(张军), Du Wen-Bo(杜文博), and Cao Xian-Bin(曹先彬)
School of Electronic and Information Engineering, Beihang University, Beijing 100083, China
Abstract  The air route network, which supports all the flight activities of the civil aviation, is the most fundamental infrastructure of air traffic management system. In this paper, we study the Chinese air route network (CARN) within the framework of complex networks. We find that CARN is a geographical network possessing exponential degree distribution, low clustering coefficient, large shortest path length and exponential spatial distance distribution that is obviously different from that of the Chinese airport network (CAN). Besides, via investigating the flight data from 2002 to 2010, we demonstrate that the topology structure of CARN is homogeneous, howbeit the distribution of flight flow on CARN is rather heterogeneous. In addition, the traffic on CARN keeps growing in an exponential form and the increasing speed of west China is remarkably larger than that of east China. Our work will be helpful to better understand Chinese air traffic systems.
Keywords:  complex network      Chinese air route network      air transportation  
Received:  24 August 2010      Revised:  13 October 2011      Accepted manuscript online: 
PACS:  89.75.-k (Complex systems)  
  89.75.Fb (Structures and organization in complex systems)  
  89.40.Da  
  89.40.Dd (Air transporation)  
Fund: Project supported by the National Basic Research Program of China (Grant No. 2011CB707004), the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (Grant No. 60921001), the National Key Technologies R & D Program of China (Grant No. 2011BAH24B02), and the Fundamental Research Funds for the Central Universities.
Corresponding Authors:  Cao Xian-Bin,xbcao@buaa.edu.cn     E-mail:  xbcao@buaa.edu.cn

Cite this article: 

Cai Kai-Quan(蔡开泉), Zhang Jun(张军), Du Wen-Bo(杜文博), and Cao Xian-Bin(曹先彬) Analysis of the Chinese air route network as a complex network 2012 Chin. Phys. B 21 028903

[1] Statistical Data on Civil Aviation of China 1992-2009 (Beijing: Chinese Civil Aviation Press, in Chinese). This book of year 1994 is out of print
[2] Chi L P and Cai X 2004 Int. J. Mod. Phys. B 18 2394
[3] Li W and Cai X 2007 Physica A 382 693
[4] Jung W S, Wang F Z and Stanley H E 2008 Europhys. Lett. 81 48005
[5] Latora V and Marchiori M 2002 Physica A 314 109
[6] Deng W B, Guo L, Li W and Cai X 2009 Chin. Phys. Lett. 26 118901
[7] Xiong F, Liu Y, Si X M and Ding F 2010 Acta Phys. Sin. 59 6889 (in Chinese)
[8] Yan X Y and Wang M S 2010 Acta Phys. Sin. 59 851 (in Chinese)
[9] Wang J W and Rong L L 2009 Acta Phys. Sin. 58 3714 (in Chinese)
[10] Xing C M and Liu F A 2010 Acta Phys. Sin. 59 1608 (in Chinese)
[11] Watts D J and Strogatz S H 1998 Nature 393 440
[12] Barabasi A L and Albert R 1999 Science 286 509
[13] Albert R and Barabasi A L 2002 Rev. Mod. Phys. 74 47
[14] Boccaletti S, Latora V, Moreno Y, Chavez M and Hwang D U 2006 Phys. Rep. 424 175
[15] Newman M E J 2003 SIAM Rev. 45 167
[16] Barrat A, Barthelemy M, Pastor-Satorras R and Vespignani A 2004 Proc. Natl. Acad. Sci. USA 101 3747
[17] Colizza V, Barrat A, Barthelemy M and Vespignani A 2006 Proc. Natl. Acad. Sci. USA 103 2015
[18] Guimera R, Mossa S, Turtschi A and Amaral L A N 2005 Proc. Natl. Acad. Sci. USA 102 7794
[19] Amaral L A N, Scala A, Barthelemy M and Stanley H E 2003 Proc. Natl. Acad. Sci. USA 97 11149
[20] Gautreau A, Barrat A and Barthelemy M 2009 Proc. Natl. Acad. Sci. USA 106 8847
[21] Li W and Cai X 2004 Phys. Rev. E 69 046106
[22] Zhang J, Cao X B, Du W B and Cai K Q 2010 Physica A 389 3922
[23] Liu H K, Zhang X L, Cao L, Wang B H and Zhou T 2009 Sci. Chin. Ser. G 39 935
[24] Bagler G 2008 Physica A 387 2972
[25] da Rocha L E C 2009 J. Stat. Mech. P04020
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