Price Elasticity of Air Travel Demand Using Econometrics and Machine Learning to Scale Up Sustainable Aviation Fuels

This study seeks to estimate the price elasticity of aviation travel demand. These insights will be used to integrate Sustainable Aviation Fuels (SAF) strategically to aid in decarbonizing the aviation industry. Econometric and machine learning models were applied to historical air travel data to se...

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Bibliographic Details
Main Author: Membreno, Mark
Other Authors: Kala, Namrata
Format: Thesis
Published: Massachusetts Institute of Technology 2024
Online Access:https://hdl.handle.net/1721.1/156047