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Framework for determining airport daily departure and arrival delay thresholds: statistical modelling approach

Framework for determining airport daily departure and arrival delay thresholds: statistical modelling approach

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dc.contributor.author Ronald Wesonga
dc.contributor.author Fabian Nabugoomu
dc.date.accessioned 2021-01-10T11:55:42Z
dc.date.available 2021-01-10T11:55:42Z
dc.date.issued 2016
dc.identifier.issn 21931801
dc.identifier.uri https://combine.alvar.ug/handle/1/49107
dc.description.abstract The study derives a framework for assessing airport efficiency through evaluating optimal arrival and departure delay thresholds. Assumptions of airport efficiency measurements, though based upon minimum numeric values such as 15 min of turnaround time, cannot be extrapolated to determine proportions of delay-days of an airport. This study explored the concept of delay threshold to determine the proportion of delay-days as an expansion of the theory of delay and our previous work. Data-driven approach using statistical modelling was employed to a limited set of determinants of daily delay at an airport. For the purpose of testing the efficacy of the threshold levels, operational data for Entebbe International Airport were used as a case study. Findings show differences in the proportions of delay at departure (μ = 0.499; 95 % CI = 0.023) and arrival (μ = 0.363; 95 % CI = 0.022). Multivariate logistic model confirmed an optimal daily departure and arrival delay threshold of 60 % for the airport given the four probable thresholds {50, 60, 70, 80}. The decision for the threshold value was based on the number of significant determinants, the goodness of fit statistics based on the Wald test and the area under the receiver operating curves. These findings propose a modelling framework to generate relevant information for the Air Traffic Management relevant in planning and measurement of airport operational efficiency.
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.relation.ispartof SpringerPlus
dc.subject Airport
dc.subject Delay threshold
dc.subject Efficiency
dc.subject Receiver operating curves
dc.subject Statistical models
dc.title Framework for determining airport daily departure and arrival delay thresholds: statistical modelling approach
dc.type journal article
dc.identifier.doi 10.1186/s40064-016-2623-5
dc.identifier.pmid 27441145
dc.identifier.mag 2473826257
dc.identifier.pmc PMC4938809
dc.identifier.lens 042-566-606-094-176
dc.identifier.volume 5
dc.identifier.issue 1
dc.identifier.spage 1026
dc.identifier.epage 1026
dc.subject.lens-fields Statistics
dc.subject.lens-fields Statistical model
dc.subject.lens-fields Goodness of fit
dc.subject.lens-fields Turnaround time
dc.subject.lens-fields Wald test
dc.subject.lens-fields Air traffic management
dc.subject.lens-fields Operational efficiency
dc.subject.lens-fields International airport
dc.subject.lens-fields Computer science
dc.subject.lens-fields Threshold limit value


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