Apron Gate Positions
Estimate the number of aircraft parking positions (gates) needed at an airport apron, N = (movements per hour · average dwell time) ÷ 60, from the peak hourly aircraft arrivals and the average dwell (turnaround) time per aircraft, in minutes. The reasoning is a queueing one: if M aircraft arrive per hour and each occupies a position for t minutes, the number simultaneously occupied (and thus needed) is M·t/60. Dwell time includes deboarding, cleaning, fueling, baggage and boarding — typically 30-60 minutes for domestic and more for international. Gate count is a critical terminal sizing: too few causes aircraft waiting to park (very costly) or remote bus stands; too many wastes valuable area and capital. Real design considers aircraft size mix (a wide-body gate occupies several smaller ones), daily variation and an irregularity margin. Enter the peak hourly movements and the average dwell time.
Result
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Número de posições de pátio (gates)
Quantas posições de estacionamento de aeronaves (gates) um aeroporto precisa? Uma estimativa é N = (movimentos por hora · tempo médio de permanência) ÷ 60, a partir da quantidade de aeronaves que chegam por hora no pico e do tempo de permanência (turnaround) médio de cada aeronave na posição, em minutos. O raciocínio é o de um sistema de filas: se chegam M aeronaves por hora e cada uma ocupa uma posição por t minutos, o número de posições simultaneamente ocupadas — e, portanto, necessárias — é M·t/60. O tempo de permanência abrange todo o ciclo em solo: desembarque, limpeza da cabine, reabastecimento, carga e descarga de bagagem e carga, catering e embarque dos novos passageiros — tipicamente de 30 a 60 minutos para voos domésticos de aeronaves médias, e bem mais para voos internacionais de longo curso. O número de posições é um dimensionamento crítico do terminal: posições de menos geram aeronaves esperando para estacionar (um dos custos mais altos da aviação, com o avião parado queimando dinheiro) ou obrigam a posições remotas com transporte de passageiros por ônibus; posições demais desperdiçam uma área valiosíssima e um investimento enorme em pontes de embarque e pavimento. O cálculo real ainda considera a mescla de tamanhos de aeronave (uma posição de wide-body ocupa o espaço de várias menores), a variação da demanda ao longo do dia e uma margem para irregularidades operacionais (atrasos, que dessincronizam as chegadas). Informe os movimentos por hora no pico e o tempo médio de permanência.
Related Tools
Aircraft Apron Area
Estimate the total area of an aircraft apron, A = number of positions · area per position, from the number of parking positions and the average area each occupies (m²), including the aircraft, surrounding safety clearances and service/circulation lanes. The apron is the airport area where aircraft park for passenger boarding, cargo and ground services. Area per position depends strongly on aircraft size: a code-F position (such as the A380) needs a square tens of metres on a side plus safety margins, occupying several thousand square metres; regional aircraft positions are much smaller. Apron sizing is one of the biggest area consumers on an airport's airside and a high investment (reinforced pavement for parked and maneuvering aircraft loads). The simplified calculation (positions × average area) gives the planning order of magnitude; detailed design positions each gate per the aircraft mix, operation type (nose-in with pushback, or self-maneuvering) and terminal geometry. Enter the number of positions and the area per position.
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Runway Hourly Capacity
Estimate a runway's hourly capacity, C = 3600 ÷ T, from the average occupancy or separation time between successive operations T (seconds). A runway's capacity — the maximum operations (landings and takeoffs) per hour — is one of the most important airport planning parameters, setting the airport's traffic limit. The time T is governed by minimum wake-turbulence separation, runway occupancy time (from touchdown to clearing via a rapid-exit taxiway), air traffic control procedures and the aircraft mix. Well-run single runways reach about 40-60 operations per hour; capacity rises with parallel runways, high-speed exits (reducing occupancy time) and optimized procedures. As demand nears capacity, delays grow nonlinearly (queueing theory), driving expansions or flow management (slots). Enter the average time between operations.
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