2008
DOI: 10.1007/s10708-008-9173-5
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Exploring the structure of the U.S. intercity passenger air transportation network: a weighted complex network approach

Abstract: The U.S. airline network is one of the most advanced transportation infrastructures in the world. It is a complex geospatial structure that sustains a variety of dynamics including commercial, public, and military operations and services. We study the U.S. domestic intercity passenger air transportation network using a weighted complex network methodology, in which vertices represent cities and edges represent intercity airline connections weighted by average daily passenger traffic, non-stop distance, and ave… Show more

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Cited by 137 publications
(99 citation statements)
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References 49 publications
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“…These claims can be found on all kinds of transportation networks, including air transportation [94][95][96], railway-based systems [26,79,83,85,97], and others [98][99][100]. We only highlight two representative statements here; others follow very similar structures: "This scale-free structure has proved to be robust to random failure but vulnerable to targeted attack" [94]. "This study indicates that the subway network is robust against random attacks but fragile for malicious attacks" [79].…”
Section: Common Pitfalls and Misleading Interpretationsmentioning
confidence: 99%
“…These claims can be found on all kinds of transportation networks, including air transportation [94][95][96], railway-based systems [26,79,83,85,97], and others [98][99][100]. We only highlight two representative statements here; others follow very similar structures: "This scale-free structure has proved to be robust to random failure but vulnerable to targeted attack" [94]. "This study indicates that the subway network is robust against random attacks but fragile for malicious attacks" [79].…”
Section: Common Pitfalls and Misleading Interpretationsmentioning
confidence: 99%
“…The application of complex network theory to air traffic is not new (Zanin and Lillo, 2013), although such studies have mainly focused on the topological characterisation of the airport network (Bagler, 2008;Guida and Funaro, 2007;Guimerà et al, 2005;Li and Cai, 2004;Lillo et al, 2011;Popovic et al, 2012;Quartieri et al, 2004;Wang et al, 2011;Xu and Harriss, 2008). In Gurtner et al (2013), community detection algorithms were applied to different types of air traffic network.…”
Section: From Network Behaviour To Better Airspace Designmentioning
confidence: 99%
“…At this time, these analyses are limited to geolocating SN users, such as mobile phone users' locations in the city (examples abound) and visualizing geospatial flows, such as Facebook friendships. These studies forfeit rich data on a user's interpersonal ties -by simply showing a user's location -not his or her connections to other people in other places, a shortcoming supported by a number of researchers (see Gastner and Newman 2006, Cummins et al 2007, Limtanakool et al 2009, Xu and Harriss 2008, De Montis et al 2010, Batty and Cheshire 2011, Ducruet and Beauguitte 2014.…”
Section: Introductionmentioning
confidence: 99%