Leg Base Airline Flight Carbon Emission Performance Assessment Using Fuzzy ANP

Abstract

Inclusion of airline industry into the European Union Emission Trading System (EU ETS) in 2012 and first release of ICAO’s Carbon Offsetting and Reduction Scheme for International Aviation (CORSIA) in 2018 triggered airline companies to take action in order to reduce their carbon emission. Therefore, we aim to find out how flight related factors are affecting the carbon emission amount of a flight. In this paper, we examine the flight related factors, which are affecting a flight’s carbon emission amount, and provide a model for assessing a flight’s carbon emission performance using fuzzy importance scale and analytical network process (ANP). First, by examining a historic flight data set of 2 years, we found four main factors as technology, piloting, distance and load with 13 sub-factors, which might affect emission performance of a flight. Second, we asked experienced airline personnel of 10 people to rate our factors linguistically. Third, we apply the ratings on our fuzzy ANP model and test it with 10 flights, which landed on the same day. Our model will help airline companies to assess their flights emission performance and decide which flights to investigate for development of their overall emission efficiency.