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: 13 Jul 2020 *

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