Generation and recovery of airborne delays in air transport |
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Institution: | 1. Innaxis Foundation & Research Institute, José Ortega y Gasset 20, 28006 Madrid, Spain;2. Center for Computational Simulation, Universidad Politécnica de Madrid, 28223 Pozuelo de Alarcón, Madrid, Spain;3. Department of Engineering Sciences, University of Oxford, Parks Road, Oxford OX1 3PJ, UK;4. Departamento de Engenharia Electrotécnica, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Lisboa, Portugal;1. Royal Melbourne Institute of Technology, Melbourne, Australia;2. DATA61/CSIRO, Australia;3. Australian National University, Canberra, Australia;1. School of Transportation Science and Engineering, Beihang University, Beijing 100191, PR China;2. Beijing Capital International Airport Co., Ltd., Beijing, PR China;3. BDBC, Beihang University, Beijing 100191, PR China;4. State Key Laboratory of Structural Analysis for Industrial Equipment, School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China |
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Abstract: | The analysis of the causes behind the appearance and propagation of delays is one of the major topics inside Air Transport Management research. Existing research focuses by and large on Air Traffic Flow Management regulations and reactionary delays; less attention has been devoted to the study of the mechanisms governing the generation and absorption of delays while airborne, in spite of their important economical and environmental consequences. Here we present a methodology to detect delay-generating events, based on the comparison of planned and real trajectories; these events are then used to characterise several aspects of the dynamics of the system, e.g. its resilience. We apply this methodology to a historical data set of flights crossing the European airspace during 2011, and observe an overall resilient system, able to absorb as much delays as it generates; yet resilience is not constant, but strongly depends on the phase of the flight, and shows high spatial and temporal heterogeneities. We anticipate the proposed methodology to open new doors for the development of a better systemic performance, by enabling the characterisation and understanding of this fundamental type of delay. |
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Keywords: | Air transport Delay analysis Delay recovery Resilience |
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