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

Authors: Alparslan Serhat Demir; Ömer Emin Eminler

Addresses: Department of Industrial Engineering, Faculty of Engineering, Sakarya University, Sakarya, Turkey ' Program of Industrial Engineering, Institute of Natural Sciences, Sakarya University, Sakarya, Turkey

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.

Keywords: estimating; CO₂ emission; air transport; artificial neural network; aviation.

DOI: 10.1504/IJGW.2020.108673

International Journal of Global Warming, 2020 Vol.21 No.3, pp.234 - 243

Received: 05 Nov 2019
Accepted: 19 Jan 2020
Published online: 24 Jul 2020 *

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