Amsterdam School of International Business

Reduction of taxi-related airport emissions with disruption-aware stand assignment

case of Mexico City International Airport


Airport management is often challenged by the task of managing aircraft parking positions most efficiently while complying with environmental regulations and capacity restrictions. Frequently this task is additionally affected by various perturbations, affecting punctuality of airport operations. This paper presents an innovative approach for obtaining an efficient stand assignment considering the stochastic nature of the airport environment and emissions reduction target of the modern air transportation industry. Furthermore, the presented methodology demonstrates how the same procedure of creating a stand assignment can help to identify an emissions mitigation potential. This paper illustrates the application of the presented methodology combined with simulation and demonstrates the impact of the application of Bayesian modeling and metaheuristic optimization for reduction of taxi-related emissions.

Reference Bagamanova, M., & Mujica Mota, M. (2020). Reduction of taxi-related airport emissions with disruption-aware stand assignment: case of Mexico City International Airport. In K.-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, & R. Thiesing (Eds.), Proceedings of the 2020 Winter Simulation Conference Institute of Electrical and Electronics Engineers (IEEE), Inc.
1 January 2020

Publication date

Jan 2020

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