2021
DOI: 10.1038/s41598-021-87279-8
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Statistical characterization of airplane delays

Abstract: The aviation industry is of great importance for a globally connected economy. Customer satisfaction with airlines and airport performance is considerably influenced by how much flights are delayed. But how should the delay be quantified with thousands of flights for each airport and airline? Here, we present a statistical analysis of arrival delays at several UK airports between 2018 and 2020. We establish a procedure to compare both mean delay and extreme events among airlines and airports, identifying a pow… Show more

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Cited by 26 publications
(17 citation statements)
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References 31 publications
(31 reference statements)
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“…1 also suggest that the following deduced results would not be affected by the internal periodicities of the flight delays. Moreover, 5-year's huge amounts of flight data (~ 4 × 10 6 records), far beyond similar studies 23 , are also used which could smear out the contributions of various contingencies as much as possible.…”
Section: Methods and Datamentioning
confidence: 99%
“…1 also suggest that the following deduced results would not be affected by the internal periodicities of the flight delays. Moreover, 5-year's huge amounts of flight data (~ 4 × 10 6 records), far beyond similar studies 23 , are also used which could smear out the contributions of various contingencies as much as possible.…”
Section: Methods and Datamentioning
confidence: 99%
“…Flight delays are highly complex, nonlinear, and interrelated, so the research samples should be large enough to smear out those various contingencies as much as possible. To eliminate the influence of accidents, a comparative study similar to Mitsokapas et al 29 was adopted, but with a larger research sample size (~ 5 × 10 6 records over 5 years). It is worth noting that the selected solar X-ray events were randomly distributed across weekdays and months, thereby minimizing the influence of weekday and season effects on the results 21 .…”
Section: Methodsmentioning
confidence: 99%
“…Flight distance and flight time were considered to understand the influence of long-distance and short-distance flights. There exists a correlation between delays and flight distance/duration for many different airports in the world [ 27 ] . Therefore, the inclusion of flight distance and time will increase the granularity of flight types.…”
Section: Methodological Frameworkmentioning
confidence: 99%