DATA-DRIVEN AVIATION MANAGEMENT (FORMERY ECO-EFFICIENT AIRPORT – FRAMEWORK AND DEVELOPMENT PERSPECTIVES FOR ECOLOGICALLY AND ECONOMICALLY SUSTAINABLE AIR TRAFFIC)
Starting Date: April 2012
Head of Research Group: Prof. Stefan Pickl (UniBwM) (since 1 July 2023)
- UniBwM (Chair for Operations Research)
- TUM (Institute of Aircraft Design)
- Bauhaus Luftfahrt (Economics and Transportation team)
Abstract: Realising the importance of inter-modal travelling in the future, the research group data-driven aviation management set out to generate data-driven projections from present settings into future solutions. At its core, the group aims to explain how external variables influence passenger arrival behaviour at the airport, one of the key nodes in intermodal travelling.
A cooperation with the Munich Airport, born out of the mutual interest in such topics, granted the research group access to real data and insights on some key performance metrics. Due to the changes in traveling behaviour caused by COVID19, however, further data collection proved futile. Under the assumption that current behaviour is not representative of typical future travelling, the research group is now aiming to fuse relevant past data from social media, weather stations and traffic counts together with that provided by the airport. The key challenge now being the access to rich historical data, archetype of pre-COVID19 travel.