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Journal Article

Citation

Lordan O, Sallan JM, Simo P, Gonzalez-Prieto D. Transp. Res. E Logist. Transp. Rev. 2014; 68: 155-163.

Copyright

(Copyright © 2014, Elsevier Publishing)

DOI

10.1016/j.tre.2014.05.011

PMID

unavailable

Abstract

This paper presents a methodology for the detection of critical airports (those whose isolation would cause the largest losses in network connectivity) in the global air transport network (ATN), based on simulating an attack on selected ATN airports using different adaptive selection criteria. The performances of several node selection criteria are compared, together with a new criterion based on Bonacich power centrality. The results show that most critical airports can be detected with an adaptive strategy based on betweenness centrality. The detection of such airports may help the development of contingency plans to develop an appropriate response to any airport closure.

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