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Recent developments in demand forecasting for airline revenue management

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Recent developments in demand forecasting for airline revenue management. / Cleophas, Catherine; Frank, Michael; Kliewer, Natalia.
In: International Journal of Revenue Management, Vol. 3, No. 3, 2009, p. 252-269.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Cleophas, C, Frank, M & Kliewer, N 2009, 'Recent developments in demand forecasting for airline revenue management', International Journal of Revenue Management, vol. 3, no. 3, pp. 252-269. https://doi.org/10.1504/IJRM.2009.027386

APA

Cleophas, C., Frank, M., & Kliewer, N. (2009). Recent developments in demand forecasting for airline revenue management. International Journal of Revenue Management, 3(3), 252-269. https://doi.org/10.1504/IJRM.2009.027386

Vancouver

Cleophas C, Frank M, Kliewer N. Recent developments in demand forecasting for airline revenue management. International Journal of Revenue Management. 2009;3(3):252-269. Epub 2009 Jul 21. doi: 10.1504/IJRM.2009.027386

Author

Cleophas, Catherine ; Frank, Michael ; Kliewer, Natalia. / Recent developments in demand forecasting for airline revenue management. In: International Journal of Revenue Management. 2009 ; Vol. 3, No. 3. pp. 252-269.

Bibtex

@article{aa7503c864664168b959fa4c84a15c5e,
title = "Recent developments in demand forecasting for airline revenue management",
abstract = "Revenue management for airlines strives to maximise revenue as the sum of fares earned through customer bookings. Since the internet enables customers to make more informed choices and low-cost carriers introduced the concept of restriction-free fares, forecasting for airline revenue management has faced new challenges. In addition, advances in dynamic pricing allow for a more sophisticated approach to pricing, but also ask for more information on customer reactions. This paper summarises recent developments in demand forecasting with regard to the prediction of demand in the airline industry. A classification by demand arrival, level, detruncation and behaviour is applied.",
keywords = "airline revenue management, demand models, demand forecasting, revenue management, simulation, airlines",
author = "Catherine Cleophas and Michael Frank and Natalia Kliewer",
year = "2009",
doi = "10.1504/IJRM.2009.027386",
language = "English",
volume = "3",
pages = "252--269",
journal = "International Journal of Revenue Management",
issn = "1741-8186",
publisher = "Inderscience Publishers",
number = "3",

}

RIS

TY - JOUR

T1 - Recent developments in demand forecasting for airline revenue management

AU - Cleophas, Catherine

AU - Frank, Michael

AU - Kliewer, Natalia

PY - 2009

Y1 - 2009

N2 - Revenue management for airlines strives to maximise revenue as the sum of fares earned through customer bookings. Since the internet enables customers to make more informed choices and low-cost carriers introduced the concept of restriction-free fares, forecasting for airline revenue management has faced new challenges. In addition, advances in dynamic pricing allow for a more sophisticated approach to pricing, but also ask for more information on customer reactions. This paper summarises recent developments in demand forecasting with regard to the prediction of demand in the airline industry. A classification by demand arrival, level, detruncation and behaviour is applied.

AB - Revenue management for airlines strives to maximise revenue as the sum of fares earned through customer bookings. Since the internet enables customers to make more informed choices and low-cost carriers introduced the concept of restriction-free fares, forecasting for airline revenue management has faced new challenges. In addition, advances in dynamic pricing allow for a more sophisticated approach to pricing, but also ask for more information on customer reactions. This paper summarises recent developments in demand forecasting with regard to the prediction of demand in the airline industry. A classification by demand arrival, level, detruncation and behaviour is applied.

KW - airline revenue management

KW - demand models

KW - demand forecasting

KW - revenue management

KW - simulation

KW - airlines

U2 - 10.1504/IJRM.2009.027386

DO - 10.1504/IJRM.2009.027386

M3 - Journal article

VL - 3

SP - 252

EP - 269

JO - International Journal of Revenue Management

JF - International Journal of Revenue Management

SN - 1741-8186

IS - 3

ER -