2009International Journal of Revenue ManagementRequires access

Recent developments in demand forecasting for airline revenue management

Catherine Cleophas, Michael Frank, Natalia Kliewer

Open publisher page 21 citations

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.

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What this paper is about

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.

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OpenAlex reports 21 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Revenue management, Yield management, Demand forecasting, Dynamic pricing, Demand management, Revenue, The Internet, Business

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