Market Spill-Recapture Model for Airline Demand Unconstraining

Predicting the demand for future flights accurately is highly important in order to ensure the survival of any airline. In order to reliably forecast the number of potential passengers Revenue Management forecasting methods need error-free true demand data. The true demand for a booking class is the number of passengers willing to purchase the ticket assuming the booking class is always available for purchase.

Creator

Dr Tomasz Drabas

Supervisor

Dr Cheng-Lung (Richard) Wu

Level
PhD
Empty plane seats

Models of Air Travel Behaviour

The student will be involved in a program of research in modeling air travel behaviour of visitors. The student will undertake review and development of experimental design approaches suitable for answering key questions raised by destination stakeholders

Supervisor

Tay Koo

Level
PhD
MSc
asd

Air passenger travel behaviour in regional Australia

In order to improve the revenue from airport retailing, airport operators and retailers require thorough understanding of the consumption behaviours of air passengers when they are at airport terminals. There is little research on passengers’ consumption behaviour at airports and reported results by various studies in the literature often had conflict conclusions. In particular, the causal and psychological effects of limited time for passengers to spend while in a terminal are less studied.

Creator

Wen-Chun Tseng

Supervisor

Cheng-Lung (Richard) Wu

Level
PhD
Air passenger