Improving the IATA delay data coding system for enhanced data analytics |
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| Institution: | 1. Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China;2. Neural Information Processing Group, Technische Universität Berlin, Germany;3. School of Engineering and Computer Science, Victoria University of Wellington, New Zealand;4. Communication Theory Laboratory, School of Engineering, KTH-Royal Institute of Technology, Stockholm, Sweden;1. School of Aviation, UNSW Sydney, NSW 2052, Australia;2. School of Accounting, Economics, and Finance, University of Wollongong, NSW 2522, Australia;1. DuPont Haskell Global Centers for Health and Environmental Sciences, 1090 Elkton Road, Newark, DE 19711, USA;2. Laboratory of Mathematical Chemistry, University “Prof As Zlatarov”, 1 Yakim Street, Bourgas, Bulgaria;3. Liverpool John Moores University, School of Pharmacy and Biomolecular Sciences, Byrom Street, Liverpool L3 3AF, UK;1. Sorbonne Université, INSERM, CNRS, IHU FOReSight, Institut de La Vision, 75012, Paris, France;2. HORUS PHARMA, 06700, Saint-Laurent-du-Var, France;3. Centre Hospitalier National D’Ophtalmologie des Quinze-Vingts, INSERM-DGOS CIC 1423, IHU FOReSight, 75012, France;4. Université Versailles-Saint-Quentin-en-Yvelines, Hôpital Ambroise Paré, APHP, F-92100, Boulogne-Billancourt, France;5. Laboratoire d''ophtalmobiologie, Centre Hospitalier National d''Ophtalmologie des Quinze-Vingts, 75012, Paris, France |
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| Abstract: | Aviation delays inconvenience travelers and result in financial losses for stakeholders. Without complex data pre-processing, delay data collected by the existing IATA delay coding system are inadequate to support advanced delay analytics, e.g. large-scale delay propagation tracing in an airline network. Consequently, we developed three new coding schemes aiming at improving the current IATA system. These schemes were tested with specific analysis tasks using simulated delay data and were benchmarked against the IATA system. It was found that a coding scheme with a well-designed reporting style can facilitate automated data analytics and data mining, and an improved grouping of delay codes can minimise potential confusion at the data entry and recording stages. |
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| Keywords: | Delay codes IATA delay coding scheme Delay propagation Propagation tree Data analytics Airline delays |
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