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Projecte llegit

Títol: Análisis comparativo de la capacidad aeroportuaria en Londres-Gatwick y Lisboa-Humberto Delgado: secuenciación de aeronaves y oportunidades de mejora operativa

Estudiants que han llegit aquest projecte:

Director/a: TRAPOTE BARREIRA, CÉSAR

Departament: FIS

Títol: Análisis comparativo de la capacidad aeroportuaria en Londres-Gatwick y Lisboa-Humberto Delgado: secuenciación de aeronaves y oportunidades de mejora operativa

Data inici oferta: 27-01-2026     Data finalització oferta: 27-09-2026


Estudis d'assignació del projecte:
    GR ENG SIST AEROESP
Tipus: Individual
 
Lloc de realització: EETAC
 
Paraules clau:
Aeropuerto, capacidad, expansión, optimización, Gatwick, Lisboa, estrategia, planificación
 
Descripció del contingut i pla d'activitats:
Este TFM compara los aeropuertos de Gatwick y Lisboa mediante el enfoque de capacity envelope y utilización horaria, para identificar el cuello de botella dominante de cada sistema (pista/approach, TMA/ATM, superficie/stands) y evaluar hasta qué punto operan cerca de su límite. El trabajo construye series por hora de llegadas y salidas, estima la envolvente capacidad-operación (trade-off A/D), calcula indicadores de estrés (horas en saturación, dispersión, picos) y los interpreta como señales de restricción física u operativa. Gatwick se usa como benchmark de "estirar capacidad" mediante actuaciones operativas y de infraestructura moderada; Lisboa se analiza como caso de decisión: estirar el aeropuerto actual con palancas operativas/ATM y mejoras airside, o planificar la transición hacia el nuevo aeropuerto, según escenarios de demanda. Salidas "paper-ready": envelope comparado, distribución de utilización, diagnóstico de cuellos de botella, y un menú de palancas con tiempos/impactos para futuros posibles de Lisboa.
 
Overview (resum en anglès):
This Final Degree Project presents a comparative analysis of airport capacity at London Gatwick (LGW) and Lisbon Humberto Delgado (LIS), two airports that operate, during the period considered, with a single effective runway and face significant capacity constraints. The main objective is to assess how differences in final-approach aircraft sequencing influence operational performance and to identify potential opportunities for improving the use of existing infrastructure at Lisbon.
The study is based on a homogeneous database of arrivals and departures obtained from FlightRadar24. First, the temporal distribution of operations is characterised and a passenger-flow model is developed to estimate terminal demand, design-hour passenger flows and the theoretical requirements for check-in counters and security filters. The airside analysis then combines Newell's theoretical sequencing model with real ADS-B trajectories to estimate time and distance separations between consecutive landings at both airports.
Seven aircraft-category combinations are directly comparable between LGW and LIS. Gatwick shows shorter mean landing intervals in five of them, while Lisbon performs better in two, including the 1.0¿1.0 combination, which is the most frequent in the Lisbon traffic mix. To assess the aggregate effect, a theoretical scenario is constructed in which the intervals observed at Gatwick replace the corresponding Lisbon values while preserving the actual frequency distribution of LIS. The weighted mean interval decreases from 162.5 to 158.4 seconds, increasing the theoretical landing rate from approximately 22.2 to 22.7 landings per hour, equivalent to a 2.61% improvement or about 0.58 additional landings per hour.
The results show that aircraft sequencing can provide a measurable but moderate improvement and cannot, by itself, explain the overall difference in operational performance between the two airports. Therefore, additional measures are discussed, including runway occupancy time reduction, rapid-exit taxiways, time-based separation, AMAN/DMAN coordination and improved temporal distribution of operations. Their potential implementation in Lisbon would require dedicated technical, economic, environmental and operational assessment. Overall, the project concludes that capacity improvement should be approached as an integrated problem in which sequencing is one contributing factor rather than a standalone solution.

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