Development of an Evaluation Framework to Assess Airport Demand Management Strategies

Development of an Evaluation Framework to Assess Airport Demand Management Strategies

Schyns, Claire (TU Delft Aerospace Engineering)

Roling, Paul (mentor)

Delft University of Technology

Aerospace Engineering

2020-03-30

In the current economy, many airports are operating close to their maximum capacity with high utilisation rates. This raises the need for airports to implement demand management measures. This need is further exacerbated when the capacity is further limited due to weather-based capacity shortfalls. Therefore, the development of an Evaluation Framework enabling the development and assessment of different Airport Demand Management Strategies was the aim of the research performed. The Evaluation Framework includes a dynamic arrival scheduling framework, to be used to assess different Airport Demand Management Strategies under a variety of scenarios. The framework uses Monte Carlo simulation along with the Rolling Time Horizons theory in order to assign an arrival time to each aircraft of a predetermined flight schedule. The weather-based capacity shortfalls are implemented via real-life METAR and TAF weather observations. A set containing both static and dynamic Airport Demand Management Strategies was defined, incorporating different demand management measures, such as ground delay and cancellations. A case study was performed to demonstrate that the Evaluation Framework is capable of assessing these Airport Demand Management Strategies. The case study addresses the arrival scheduling of predetermined flight plans at Amsterdam Airport Schiphol, combined with bad weather – and very bad weather scenarios. The case study has confirmed that different Airport Demand Management Strategies can contribute to airports keeping delays at acceptable levels and minimising cancellations during weather-based capacity shortfalls.

Airport Demand Management Strategies
Air Traffic Management
Airport
Aircraft Delay
Aircraft Cancellations
Evaluation Framework

http://resolver.tudelft.nl/uuid:1dd0981c-58f6-4fbb-8c05-e15b1460cd87

Student theses

master thesis

© 2020 Claire Schyns