Journal
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
Volume 118, Issue -, Pages 466-476Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2018.08.014
Keywords
Flight delay; Delay propagation; Delay causality; Network analysis
Categories
Funding
- National Key Research and Development Program of China [2016YFB1200100]
- National Natural Science Foundation of China [61425014, 61521091, 91538204, 61671031, 61722102]
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To better understand the mechanism of flight delay propagation at the system-level, we built a delay causality network (DCN) based on the Granger causality test. Through topological analysis of DCNs, we found that only about a quarter of airports were involved in delay propagation during the peak travel period and large airports affected by many upstream airports impact fewer downstream airports. Furthermore, temporal analysis of DCNs indicates that the culprits of delay propagation in the air transport system are not a fixed set of airports; instead, they vary daily depending on the operational environment.
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