Development of Demand Forecasting Model For Transatlantic Air Transportation

This thesis describes the airline planning process, analyzes the demand of the busiest transatlantic routes and establishes a methodology on how to plan new transatlantic routes from Europe to United States of America with Prague Airport as a hub, or secondary airport for these flights. A few of the most used airports in Europe are chosen and flight data in 2011 from these airports to the United States was analyzed. In addition, demographic, traffic and socioeconomic data of selected airports is collected. A demand forecasting model is then developed in steps using correlation analysis, multiple linear regression analysis and doubly constraint gravity model, and compared with annual number of passengers traveling from Prague Airport to selected destinations in the United States (provided by Prague Airport). The suggested methodology and findings of this thesis can be used for different airlines to forecast demand and plan new transatlantic routes