Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/7594
Title: Evolution-based modelling of complex airport networks
Authors: Gegov, EA
Gegov, AE
Atherton, MA
Gobet, F
Keywords: Network modelling;United States Airport;Network;Topological evolution;Ranked passenger distribution
Issue Date: 2011
Publisher: Society for Electronics, Telecommunications, Automation, and Informatics
Citation: Special International Conference on Complex Systems: Synergy of Control, Communications and Computing, Ohrid, Macedonia, 5pp, 16-20 Sep 2011
Abstract: This paper presents a time-series model of the United States Airport Network as a directed, weighted network, with the weight representing the total number of passengers flying from an origin to a destination airport, in a two month time period. Six independent networks are built for a given year, in order to capture the seasonal variation of passengers. To explore the evolution of the network over the past two decades, three specific years are investigated: 1990, 2000, and 2010. The results highlight the growth of the network in terms of airports and connections, and suggest a scale-free, small-world topology. In addition, the ranked passenger distribution appears to follow a logarithmic trend, implying high heterogeneity in passengers on different connections.
Description: Copyright @ 2011 Society for Electronics, Telecommunications, Automation, and Informatics
URI: http://bura.brunel.ac.uk/handle/2438/7594
Appears in Collections:Mechanical and Aerospace Engineering
Psychology
Dept of Mechanical Aerospace and Civil Engineering Research Papers

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