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http://bura.brunel.ac.uk/handle/2438/7594
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DC Field | Value | Language |
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dc.contributor.author | Gegov, EA | - |
dc.contributor.author | Gegov, AE | - |
dc.contributor.author | Atherton, MA | - |
dc.contributor.author | Gobet, F | - |
dc.date.accessioned | 2013-07-12T14:01:13Z | - |
dc.date.available | 2013-07-12T14:01:13Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | Special International Conference on Complex Systems: Synergy of Control, Communications and Computing, Ohrid, Macedonia, 5pp, 16-20 Sep 2011 | en_US |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/7594 | - |
dc.description | Copyright @ 2011 Society for Electronics, Telecommunications, Automation, and Informatics | en_US |
dc.description.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. | en_US |
dc.description.sponsorship | This project was funded by te Brunel Research Support and Development Office. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Society for Electronics, Telecommunications, Automation, and Informatics | en_US |
dc.subject | Network modelling | en_US |
dc.subject | United States Airport | en_US |
dc.subject | Network | en_US |
dc.subject | Topological evolution | en_US |
dc.subject | Ranked passenger distribution | en_US |
dc.title | Evolution-based modelling of complex airport networks | en_US |
dc.type | Conference Paper | en_US |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Active Staff | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Engineering & Design | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Engineering & Design/Mechanical Engineering | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Social Sciences | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Social Sciences/Psychology | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Social Sciences - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Social Sciences - URCs and Groups/Centre for Cognition and Neuroimaging | - |
Appears in Collections: | Mechanical and Aerospace Engineering Psychology Dept of Mechanical and Aerospace Engineering Research Papers |
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File | Description | Size | Format | |
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Fulltext.pdf | 244.68 kB | Adobe PDF | View/Open |
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