Sustainability Assessment in Aviation Industry: A Mini- Review on the Tools, Models and Methods of Assessment

Abstract

Sustainable aviation practices have significantly reduced Greenhouse Gas (GHG) emissions over the years. However, these practices have not shaped the aviation industry in achieving the United Nations Sustainable Development Goals (UN SDGs) to its full potential. The increasing volume of air traffic and the benefits reaped in this sector has hindered sustainable airline operations. This paper brings up a small scale-literature review on several tools and methods used for sustainability assessment in the aviation industry to address this concern, covering all the socio-economic and environmental sustainability dimensions. A review of various models and techniques used in the eco-efficiency assessment for sustainable airline operations are also discussed. Decision Support Systems (DSS) using Artificial Intelligence (AI), Deep learning, and Neural Network (NN) models also formed the basis of this study. This paper's tools and models support strategic and tactical decision-making to foster sustainable operations in the aviation industry; thus, helping mitigate the current challenges.