Forecasting aviation demand is a significant challenge in the airline industry. The design of
commercial aviation networks heavily relies on reliable travel demand predictions. It enables …

The recent Airlines management is facing lots of challenges and the pandemic has made it
more critical. The airlines' industry needs to come up with a strong solution to uplift the …

Airline revenue management (RM) concentrates on the optimization of the booking process
to accept a reservation with three key decision-making pillar: the right conditions, the right …

Employing customer information from one of the world's largest airline companies, we
develop a price elasticity model (PREM) using machine learning to identify customers likely …

In recent years, the demand for collective mobility services registered significant growth. In
particular, the long-distance coach market underwent an important change in Europe, since …

This research proposes a revenue management framework for perishable products when
customer preferences are unknown before the selling season begins. In this research …

In the airline, business a passenger's purpose of travel (business or leisure) has a strong
relationship with the price elasticity of that passenger. Full-service network carriers (FSNCs) …

For many years, the air travel market has been one of the most regulated sectors in
economy. The airline industry was fast-growing until the COVID pandemic. However, it is still …

Research of airlines shows that seat inventory control and therefore, revenue management
is based not on a systematic analysis but more on human judgement. Machine learning …

This paper discusses the issue of airfare. A set of characteristics defining a typical flight is
chosen for this purpose, with the assumption that these characteristics influence the price of …