Robustness of airline alliance route networks
Cita com:
hdl:2117/26308
Document typeArticle
Defense date2015-05
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial
property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public
communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
The aim of this study is to analyze the robustness of the three major airline alliances’ (i.e., Star Alliance, oneworld and SkyTeam) route networks. Firstly, the normalization of a multi-scale measure of vulnerability is proposed in order to perform the analysis in networks with different sizes, i.e., number of nodes. An alternative node selection criterion is also proposed in order to study robustness and vulnerability of such complex networks, based on network efficiency. And lastly, a new procedure – the inverted adaptive strategy – is presented to sort the nodes in order to anticipate network breakdown. Finally, the robustness of the three alliance networks are analyzed with (1) a normalized multi-scale measure of vulnerability, (2) an adaptive strategy based on four different criteria and (3) an inverted adaptive strategy based on the efficiency criterion. The results show that Star Alliance has the most resilient route network, followed by SkyTeam and then oneworld. It was also shown that the inverted adaptive strategy based on the efficiency criterion – inverted efficiency – shows a great success in quickly breaking networks similar to that found with betweenness criterion but with even better results.
CitationLordan, O. [et al.]. Robustness of airline alliance route networks. "Communications in nonlinear science and numerical simulation", Maig 2015, vol. 22, núm. 1-3, p. 587-595.
ISSN1007-5704
Publisher versionhttp://www.sciencedirect.com/science/article/pii/S1007570414003529
Files | Description | Size | Format | View |
---|---|---|---|---|
robustness of airline alliance.pdf | 2,071Mb | View/Open |