Preliminary Evaluation of Flight Delay Propagation through an Airline Schedule

Beatty, Roger; Hsu, Rose Y.; Berry, Linda; Rome, J.A.

doi:10.2514/atcq.7.4.259

Cited by 125 publications

(79 citation statements)

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“…These primary delays can in turn trigger a cascade of secondary delays as was noted in (Beatty et al, 1999;Jetzki, 2009) by the introduction of a ripple effect. Because of the inherent complexity of the mechanisms that produce and boost delay spreading, different modeling techniques were proposed.…”

Section: State Of the Artmentioning

confidence: 87%

Managing airlines: the cost of complexity

Trapote-Barreira

Deutschmann

Robusté

2016

Libro De Actas CIT2016. XII Congreso De Ingeniería Del Transporte

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This paper is dedicated to the structure of airline networks as a sink of efficient airline operations. Parameters of complexity were derived and mirrored on level of service as well as efficiency parameters. Airlines usually considerers an operational overhead to predict the total flight operation cost. This parameter includes the expected cost for disruptions and delays. When an airline has to mobilize an aircraft in a base for recovering the service or for breaking an emergent dynamic, then it is running extra costs. The cost of managing complexity in the airline industry has a direct impact on profit and loss account. Therefore, this paper presents an integrated approach to evaluate this cost, based on padding and aircrafts dedicated to recover disruptions. Finally, some additional indicators are derived to evaluate reliability improvement as part of complex performance.

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Section: State Of the Artmentioning

confidence: 87%

Managing airlines: the cost of complexity

Trapote-Barreira

Deutschmann

Robusté

2016

Libro De Actas CIT2016. XII Congreso De Ingeniería Del Transporte

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“…with the first disrupted flight-leg are affected. This propagation effect can be modeled as a delay multiplier by which the initial flight delay is scaled to account for the total delay incurred in the entire cascade [4]. While the exact values of the delay multipliers found in that study cannot be directly translated into other situations (e.g.…”

Section: The Value Of a Well-maintained Schedulementioning

confidence: 99%

Evaluation of Improved Pushback Forecasts Derived from Airline Ground Operations Data

Carr

Theis

Clarke

et al. 2005

Journal of Aerospace Computing, Information, and Communication

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“…For the network effect of these delays, we use the delay multipliers based on American Airlines case study (see Table 2-20 in [2] or [6]). …”

Section: B Modify Model For Us Datamentioning

confidence: 99%

Estimating domestic US airline cost of delay based on European model

Ferguson

Kara

Hoffman

et al. 2013

Transportation Research Part C: Emerging Technologies

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Abstract-In this paper, we detail a method for calculating the cost of delays to an airline. The approach extends a EU report that calculated delays for three alternative scenarios (low cost, baseline costs and high costs) and for short delays (under 15 minutes) and long delays (over 65 minutes). Our extension to this report determines the factors that make up the multipliers presented in that report. We next apply the individual cost factor delays to US data. The approach allows one to update the cost whenever any of the factors (crew, fuel, maintenance, ground costs) change. It considers the size of the aircraft when making such calculations, both from the perspective of fuel burn and passenger costs. Our validation methodology evaluates how close our data come to that presented in their report when a conversion is made from dollars to Euros and applies 2003 cost data. Data for Philadelphia airport (PHL) is displayed as a case study to show current delay costs.

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Preliminary Evaluation of Flight Delay Propagation through an Airline Schedule

Cited by 125 publications

References 0 publications

Managing airlines: the cost of complexity

Managing airlines: the cost of complexity

Evaluation of Improved Pushback Forecasts Derived from Airline Ground Operations Data

Estimating domestic US airline cost of delay based on European model

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