2014, vol. 4, núm. 1
http://hdl.handle.net/2099/14458
2024-03-28T09:42:01ZFlight delay performance at Hartsfield-Jackson Atlanta International Airport
http://hdl.handle.net/2099/14470
Flight delay performance at Hartsfield-Jackson Atlanta International Airport
Yablonsky, Grigoriy; Steckel, Richard; Constales, Denis; Farnan, John; Lercel, Damon; Patankar, Manoj
Abstract
Purpose:
The main objective of this paper is to determine the annual cyclical flight delays at Hartsfield-Jackson Atlanta
International Airport. Then using other data such as annual precipitation, passenger and aircraft traffic volumes and other
factors, we attempted to correlate these factors with overall delays. These data could assist airport management in predicting
periods of flight delay.
Design/methodology/approach:
Data were taken and analyzed from the data base “Research and Innovation
Technology Administration” (RITA) for the years 2005-2011 for Hartsfield-Jackson Atlanta International Airport. The data
included 2.8 million flights originating and departing from this airport.
Data were also gathered from the National Oceanic and Atmospheric Administration (NOAA) showing precipitation.
Additional data were gathered from the FAA regarding delay causes, number and types of delays and changes to the
infrastructure of ATL airport.
Findings:
T
here is a repeatable annual pattern of delays at ATL that can be modelled using delay data from the Bureau of
Transportation Statistics. This pattern appears to be caused primarily by the frequency and amount of precipitation that falls
at ATL and by the amount of flights that arrive and depart at ATL.
Originality/value:
This information could assist airport operations personnel, FAA air traffic controllers and airlines in
anticipating and mitigating delays at specific times of the year.
2014-04-08T17:29:37ZYablonsky, GrigoriySteckel, RichardConstales, DenisFarnan, JohnLercel, DamonPatankar, ManojAbstract
Purpose:
The main objective of this paper is to determine the annual cyclical flight delays at Hartsfield-Jackson Atlanta
International Airport. Then using other data such as annual precipitation, passenger and aircraft traffic volumes and other
factors, we attempted to correlate these factors with overall delays. These data could assist airport management in predicting
periods of flight delay.
Design/methodology/approach:
Data were taken and analyzed from the data base “Research and Innovation
Technology Administration” (RITA) for the years 2005-2011 for Hartsfield-Jackson Atlanta International Airport. The data
included 2.8 million flights originating and departing from this airport.
Data were also gathered from the National Oceanic and Atmospheric Administration (NOAA) showing precipitation.
Additional data were gathered from the FAA regarding delay causes, number and types of delays and changes to the
infrastructure of ATL airport.
Findings:
T
here is a repeatable annual pattern of delays at ATL that can be modelled using delay data from the Bureau of
Transportation Statistics. This pattern appears to be caused primarily by the frequency and amount of precipitation that falls
at ATL and by the amount of flights that arrive and depart at ATL.
Originality/value:
This information could assist airport operations personnel, FAA air traffic controllers and airlines in
anticipating and mitigating delays at specific times of the year.An analytical model for the assessment of airline expansion strategies
http://hdl.handle.net/2099/14467
An analytical model for the assessment of airline expansion strategies
Emboaba Moreira, Mauricio
Purpose: The purpose of this article is to develop an analytical model to assess airline expansion strategies by combining
generic business strategy models with airline business models.
Design/methodology: A number of airline business models are examined, as are Porter’s (1983) industry five forces that
drive competition, complemented by Nalebuff and Brandenburger’s (1996) sixth force, and the basic elements of the
general environment in which the expansion process takes place. A system of points and weights is developed to create a
score among the 904,736 possible combinations considered. The model’s outputs are generic expansion strategies with
quantitative assessments for each specific combination of elements inputted.
Originality/value: The analytical model developed is original because it combines for the first time and explicitly elements
of the general environment, industry environment, airline business models and the generic expansion strategy types. Besides
it creates a system of scores that may be used to drive the decision process toward the choice of a specific strategic
expansion path.
Research implications: The analytical model may be adapted to other industries apart from the airline industry by
substituting the element “airline business model” by other industries corresponding elements related to the different specific
business models.
2014-04-08T14:47:03ZEmboaba Moreira, MauricioPurpose: The purpose of this article is to develop an analytical model to assess airline expansion strategies by combining
generic business strategy models with airline business models.
Design/methodology: A number of airline business models are examined, as are Porter’s (1983) industry five forces that
drive competition, complemented by Nalebuff and Brandenburger’s (1996) sixth force, and the basic elements of the
general environment in which the expansion process takes place. A system of points and weights is developed to create a
score among the 904,736 possible combinations considered. The model’s outputs are generic expansion strategies with
quantitative assessments for each specific combination of elements inputted.
Originality/value: The analytical model developed is original because it combines for the first time and explicitly elements
of the general environment, industry environment, airline business models and the generic expansion strategy types. Besides
it creates a system of scores that may be used to drive the decision process toward the choice of a specific strategic
expansion path.
Research implications: The analytical model may be adapted to other industries apart from the airline industry by
substituting the element “airline business model” by other industries corresponding elements related to the different specific
business models.Factors influencing car user propensity to shift to other modes and their impacts on demand for airport parking facilities
http://hdl.handle.net/2099/14464
Factors influencing car user propensity to shift to other modes and their impacts on demand for airport parking facilities
Panou, Konstantinos
Purpose: The aim of this paper is to analyse the factors influencing car user behaviour and examine the possible impacts of
public transit improvements on the demand for airport long-term parking facilities. The case of the Athens International
Airport (AIA) is considered for the analysis.
Design/methodology: The followed approach comprises three steps: First the related literature is reviewed and the method is
presented. Then data collection is carried out through a survey questionnaire comprising a revealed preference and a stated
preference part. The compiled data is processed using factor analysis. Finally, the results are assessed leading to the drawing
of final conclusions.
Findings: The results of the analysis enable: (a) to determine different user groups with different demand elasticities and
likelihoods to shift to public transport, and (b) to conclude from the quantitative representation of the different user groups
the real impact on the car parking demand.
Research limitations: The analysis gives no consideration to the mix of measures that can possibly increase competitiveness of
parking services such as real-time information about availability of parking space to users; online booking and discount rates
for early birds, etc.
Originality/value: The paper includes original work based on primary data from a field survey, similar of which has not been
published for the AIA. The results are important for airport authorities to keep a balance between parking demand and
supply by formulating the right marketing policies.
2014-04-07T18:23:42ZPanou, KonstantinosPurpose: The aim of this paper is to analyse the factors influencing car user behaviour and examine the possible impacts of
public transit improvements on the demand for airport long-term parking facilities. The case of the Athens International
Airport (AIA) is considered for the analysis.
Design/methodology: The followed approach comprises three steps: First the related literature is reviewed and the method is
presented. Then data collection is carried out through a survey questionnaire comprising a revealed preference and a stated
preference part. The compiled data is processed using factor analysis. Finally, the results are assessed leading to the drawing
of final conclusions.
Findings: The results of the analysis enable: (a) to determine different user groups with different demand elasticities and
likelihoods to shift to public transport, and (b) to conclude from the quantitative representation of the different user groups
the real impact on the car parking demand.
Research limitations: The analysis gives no consideration to the mix of measures that can possibly increase competitiveness of
parking services such as real-time information about availability of parking space to users; online booking and discount rates
for early birds, etc.
Originality/value: The paper includes original work based on primary data from a field survey, similar of which has not been
published for the AIA. The results are important for airport authorities to keep a balance between parking demand and
supply by formulating the right marketing policies.Attractiveness-based airline network models with embedded spill and recapture
http://hdl.handle.net/2099/14459
Attractiveness-based airline network models with embedded spill and recapture
Di Wang, Desmond; Klabjan, Diego; Shebalov, Sergey
Purpose: In airline revenue management, the modeling of the spill and recapture effects is essential for an accurate estimation of the passenger flow and the revenue in a flight network. However, as most current approaches toward spill and recapture involve either non-linearity or a tremendous amount of additional variables, it is computationally intractable to apply those techniques to the classical network design and capacity planning models.
Design/methodology: We present a new framework that incorporates the spill and recapture effects, where the spill from an itinerary is recaptured by other itineraries based on their attractiveness. The presented framework distributes the accepted demand of an itinerary according to the currently available itineraries, without adding extra variables for the recaptured spill. Due to its compactness, we integrate the framework with the classical capacity planning and network design models.
Findings: Our preliminary computational study shows an increase of 1.07% in profitability anda better utilization of the network capacity, on a medium-size North American airline provided by Sabre Airline Solutions.
Originality/value: Our investigation leads to a holistic model that tackles the network design and capacity planning simultaneously with an accurate modeling of the spill and re- capture effects.Furthermore, the presented framework for spill and recapture is versatile and can be easily applied to other disciplines such as the hospitality industry and product line design (PLD) problems.
2014-04-06T14:49:41ZDi Wang, DesmondKlabjan, DiegoShebalov, SergeyPurpose: In airline revenue management, the modeling of the spill and recapture effects is essential for an accurate estimation of the passenger flow and the revenue in a flight network. However, as most current approaches toward spill and recapture involve either non-linearity or a tremendous amount of additional variables, it is computationally intractable to apply those techniques to the classical network design and capacity planning models.
Design/methodology: We present a new framework that incorporates the spill and recapture effects, where the spill from an itinerary is recaptured by other itineraries based on their attractiveness. The presented framework distributes the accepted demand of an itinerary according to the currently available itineraries, without adding extra variables for the recaptured spill. Due to its compactness, we integrate the framework with the classical capacity planning and network design models.
Findings: Our preliminary computational study shows an increase of 1.07% in profitability anda better utilization of the network capacity, on a medium-size North American airline provided by Sabre Airline Solutions.
Originality/value: Our investigation leads to a holistic model that tackles the network design and capacity planning simultaneously with an accurate modeling of the spill and re- capture effects.Furthermore, the presented framework for spill and recapture is versatile and can be easily applied to other disciplines such as the hospitality industry and product line design (PLD) problems.