Centre for Financial Innovation

Reducing airport environmental footprint using a disruption-aware stand assignment approach

Article

Modern airport management is challenged by the task of operating aircraft parking positions most efficiently while complying with environmental policies, restrictions, schedule disruptions, and capacity limitations. This study proposes a novel framework for the stand allocation problem that uses a divide-and-conquer approach in combination with Bayesian modelling, simulation, and optimisation to produce less-pollutant solutions under realistic conditions. The framework presents three innovative aspects. First, inputs from the stochastic analysis module are used in a multivariate optimisation for generating variability-robust solutions. Second, a combination of optimisation and simulation is used to finely explore the impact of realistic uncertainty uncaptured by the framework. Lastly, the framework considers the role of human beings as the final control of operational conditions. A case study is presented as a proof of concept and demonstrates results achievable and benefits of the framework proposed. The experimental results demonstrate that the framework generates less-pollutant solutions under realistic conditions.

Reference Bagamanova, M., & Mujica Mota, M. M. (2020). Reducing airport environmental footprint using a disruption-aware stand assignment approach. Transportation Research Part D: Transport and Environment, 89, Article 102634. https://doi.org/10.1016/j.trd.2020.102634
1 December 2020