Estimation of CO2 emissions from air transportation in EU countries by artificial neural networks

Abstract

Estimating CO(2)emissions is crucial due to its negative impacts on global warming. The study examines an artificial neural network technique for estimating the CO(2)emissions in the aviation industry of EU countries. And the key factors of the data are the flight type, fleet age, the number of flight and passengers. We get 7.8% MAPE error for domestic flights and 6.7% MAPE error for international flights CO(2)emission with this study. Accordingly, it may be concluded that artificial neural networks can be used for forecasting CO(2)emissions in aviation sector.