transport is one of the key infrastructures of today’s global economy. Connections between airports define airport networks, where nodes are cities served by airports, connected by edges if there is at least one direct flight connecting them. The aims of this research are to relate structural properties of airport networks which explain how these networks respond to isolation of critical nodes, and to gain insight into relevant socio-economic factors that influence the development of airport networks. We split the world airport network (WAN) into seven global region airport networks (GRANs), using the divisions established by OAG database. We gather information about structural properties of each GRAN determining core cities through k-core decomposition, and critical cities through robustness analysis. We find that differences of robustness across GRANs can be explained by the fraction of core cities relative to total cities. Furthermore, analysis of multilevel structure reveal relevant differences between GRANs, rooted on geographical and socio-economic factors, and give insight about how network robustness in airport networks can be enhanced

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http://dx.doi.org/10.1016/j.physa.2018.08.123 under the license cc-by-nc-nd
https://academic.microsoft.com/#/detail/2886086145 under the license https://www.elsevier.com/tdm/userlicense/1.0/
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Published on 01/01/2019

Volume 2019, 2019
DOI: 10.1016/j.physa.2018.08.123
Licence: Other

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