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A complex network approach towards modeling and analysis of the Australian Airport Network

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  • Hossain, Md. Murad
  • Alam, Sameer

Abstract

An airport network forms the backbone of any air transportation system. The relationships among the origins and destinations of flights result in a complex network of routes which can be complemented with information associated with the routes themselves, for instance, traffic load and distance. In this paper, we modeled the Australia's civil domestic airport infrastructure as a network and analyzed the resulting network structure and its features using complex network tool. This case study identifies and investigates complex network measures, such as the degree distribution, characteristics path length, clustering coefficient and centrality measure as well as the correlations among them to understand the topology of an airport network. This analysis of the Australian Airport Network (AAN) indicates that it has a cumulative degree distribution described by the power-law function. As it has an average path length of 2.90, it is considered to have small-world properties. It is also found that it has a clustering coefficient of 0.50 which is higher than that of a random network of the same size which indicates that the transitivity and cohesiveness of AAN is different from a random network. In contrast to the World-wide Airport Network (WAN), the AAN is found to have disassortative mixing similar to the airport networks of China and India.

Suggested Citation

  • Hossain, Md. Murad & Alam, Sameer, 2017. "A complex network approach towards modeling and analysis of the Australian Airport Network," Journal of Air Transport Management, Elsevier, vol. 60(C), pages 1-9.
    • Handle: RePEc:eee:jaitra:v:60:y:2017:i:c:p:1-9
    DOI: 10.1016/j.jairtraman.2016.12.008
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    References listed on IDEAS

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    1. Aura Reggiani & Sara Signoretti & Peter Nijkamp & Alessandro Cento, 2009. "Network Measures in Civil Air Transport: A Case Study of Lufthansa," Lecture Notes in Economics and Mathematical Systems, in: Ahmad K. Naimzada & Silvana Stefani & Anna Torriero (ed.), Networks, Topology and Dynamics, pages 257-282, Springer.
    2. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
    3. Bagler, Ganesh, 2008. "Analysis of the airport network of India as a complex weighted network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2972-2980.
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