Estimation of CO₂ emissions from air transportation in EU countries by artificial neural networks
by Alparslan Serhat Demir; Ömer Emin Eminler
International Journal of Global Warming (IJGW), Vol. 21, No. 3, 2020

Abstract: Estimating CO₂ emissions is crucial due to its negative impacts on global warming. The study examines an artificial neural network technique for estimating the CO₂ 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 CO₂ emission with this study. Accordingly, it may be concluded that artificial neural networks can be used for forecasting CO₂ emissions in aviation sector.

Online publication date: Fri, 24-Jul-2020

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