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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Evolution of Chinese airport network

Open access
Zhang, Jun, Cao, Xian-Bin, Du, Wen-Bo, Cai, Kai-Quan·2010·Physica A: Statistical Mechanics and its Applications

Abstract

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.

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Metadata

Authors
Zhang, J., Cao, X.-B., Du, W.-B., & Cai, K.-Q.
Venue
Physica A: Statistical Mechanics and its Applications
Publisher
Elsevier BV
Published
2010-09
Volume
389
Issue
18
Pages
3922-3931
ISSN
0378-4371 (ISSN-L)
OpenAlex
W2963508157
Cited by
182
References
4
FWCI
8.55
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Evolution of Chinese airport network. https://app.cochat.ai/papers/10.1016/j.physa.2010.05.042
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Zhang, J., Cao, X.-B., Du, W.-B., & Cai, K.-Q. (2010). Evolution of Chinese airport network. Physica A: Statistical Mechanics and its Applications. https://doi.org/10.1016/j.physa.2010.05.042

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.