Depeaking – economic optimization of air traffic systems

Frank, Michael; Mederer, Michael; Stolz, Brigitte; Hanschke, Thomas

doi:10.1016/j.ast.2005.08.003

Cited by 9 publications

(9 citation statements)

References 3 publications

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“…The sum of the taxi-out time at the origin, the flight time and the taxi-in time at the destination is called the 'block time'. In order to determine the block time for a flight leg the German carrier Lufthansa uses the 68 th percentile of the block times empirical distribution (Frank et al, 2005). The most common airline practice is a simple flight times padding, i.e.…”

Section: Datamentioning

confidence: 99%

A statistical study of the weather impact on punctuality at Frankfurt Airport

Markovic

Hauf

Rohner

et al. 2008

Meteorological Applications

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ABSTRACT:A hybrid regression/time series modelling was used to relate the total daily punctuality (TOTP) at Frankfurt Airport, Germany, to weather, the traffic flow and the airport system state. The selected modelling approach is applied to the annual, the multi-annual and seasonal data of the years [2001][2002][2003][2004][2005][2006]. Reduction of the initial variables system dimension is achieved through the application of the principal component analysis (PCA) method. The portion of the variability that can be explained by the model after correction of autocorrelations in the residuals using autoregressive (AR) models, is between 60 and 69%. A slight year-to-year variability in the number of statistically significant model parameters is detected. Upon identification of the terminal-specific delay impact factors, the possibility of the 24 h punctuality forecast for the interval of 1 year was discussed.

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Section: Datamentioning

confidence: 99%

A statistical study of the weather impact on punctuality at Frankfurt Airport

Markovic

Hauf

Rohner

et al. 2008

Meteorological Applications

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“…While there is an incentive to spread services throughout the day because it lowers the costs of the land-side workforce and facilities and reduces airside congestion (Abeyrathne, 2000), most analysis justify peak-load pricing policies in terms of reducing the inefficiency that accompanies over-investment in capacity. There has also been little analysis of the costs in peak periods for specific airlines (Frank et al, 2005;Kemppainen et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

The costs of peak-load demand: An application to Gran Canaria airport

Betancor

Jiménez

Socorro

2010

Journal of Air Transport Management

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a b s t r a c t Many airports suffer from peak-load demand problems. To meet unconstrained demand at peak periods, they often invest in extra capacity that may be under used at other times. We use data from the airport in Gran Canaria to illustrate that costs associated with the peak-load problem are not only those related to the new investment. This paper provides a methodology for analyzing the costs arisen due to the peakload demand, to explore alternative airport policies and to illustrate the problem of congestion at airport terminals. The results suggest that a situation in which airports differentiate charges by peak and offpeak days would be much desirable.

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“…This paper will extend the study of Frank et al (2005) routing and timing on the service operations performed at airports during the turnarounds of aircraft looking at the impact on costs of de-peaking on the ground-handling processes including check-in (in terminal and by the gate), baggage handling (check-in and claim), catering, load planning control, pushback of aircraft from passenger bridge, and de-icing of aircraft (Fig. 2).…”

Section: Introductionmentioning

confidence: 99%

“…By spreading the operations more evenly throughout the day the airlines expect to reduce congestion at the gates and on the runways, decrease the number of aircraft needed for servicing specific routes, reduce manpower requirements, and improve reliability of schedules. More specifically, Frank et al (2005) quantified the operational and economical effects of de-peaking for Lufthansa Airlines at Frankfurt International Airport. They reported that by implementing a new schedule structure, the airline was able to reduce the overall travel times for its most profitable flights.…”

Section: Introductionmentioning

confidence: 99%