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Robustness of the air transport network
Institution:1. Universitat Politècnica de Catalunya-BarcelonaTech, C/Colom no. 11, Terrassa 08222, Spain;2. Volotea, Travessera de Gràcia, 56, Barcelona 08006, Spain;1. Institute of Air Transportation Systems, German Aerospace Center, Blohmstrasse 18, 21079 Hamburg, Germany;2. Department of Computer Science, Humboldt-University Berlin, Unter den Linden 6, 10099 Berlin, Germany;1. School of Electronic and Information Engineering, Beihang University, No. 37 Xueyuan Road, 100191 Beijing, China;2. Department of Computer Science, Humboldt-University Berlin, Unter den Linden 6, 10099 Berlin, Germany;1. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong Shenzhen Institute of Research and Innovation, Pokfulam Road, Hong Kong;2. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong;1. School of Electronic and Information Engineering, Beihang University, Beijing 100191, PR China;2. National Key Laboratory of CNS/ATM, Beijing 100191, PR China;3. Beijing Laboratory for General Aviation Technology, Beijing 100191, PR China;4. Universitat Politécnica de Catalunya-BarcelonaTech, C/Colom no. 11, Terrassa 08222, Spain;5. Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan;6. Aviation Data Communication Corporation, Beijing 100191, PR China
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.
Keywords:Air transport network  Complex networks  Robustness  Airport closure  Intentional attacks
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