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Building and analyzing the US airport network based on en-route location information
KTH.
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Samhällsbyggnad/GIS-Institutet.ORCID-id: 0000-0002-2337-2486
2012 (Engelska)Ingår i: Physica A: Statistical Mechanics and its Applications, ISSN 0378-4371, E-ISSN 1873-2119, Vol. 391, nr 15, s. 4031-4042Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

From a complex network perspective, this study sets out two aims around the US airport network (USAN) which is built from en-route location information of domestic flights in the US. First, we analyze the structural properties of the USAN with respect to its binary and weighted graphs, and second we explore the airport patterns, which have wide-ranging implications. Results from the two graphs indicate the following. (1) The USAN exhibits scale-free, small-world and disassortative mixing properties, which are consistent with the mainstream perspectives. Besides, we find (2) a remarkable power relationship between the structural measurements in the binary graph and the traffic measurements in the weighted counterpart, namely degree versus capacity and attraction versus volume. On the other hand, investigation of the airport patterns suggests (3) that all the airports can be classified into four categories based on multiple network metrics, which shows a complete typology of the airports. And it further indicates (4) that there is a subtle relationship between the airport traffic and the geographical constraints as well as the regional socioeconomic indicators.

Ort, förlag, år, upplaga, sidor
2012. Vol. 391, nr 15, s. 4031-4042
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:hig:diva-12985DOI: 10.1016/j.physa.2012.03.006ISI: 000304629900026Scopus ID: 2-s2.0-84860531858OAI: oai:DiVA.org:hig-12985DiVA, id: diva2:555606
Tillgänglig från: 2012-09-20 Skapad: 2012-09-20 Senast uppdaterad: 2018-03-13Bibliografiskt granskad

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