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Q: What is the definition of an airport?
A geographic site enabling aircraft to land/take off and associated activities such as passenger boarding, cargo (un)loading, refuelling, and maintenance.
Q: Name three economic roles airports play.
Enable global movement of people and goods; create employment; act as business gateways that drive tourism and local economic development.
Q: List the main stakeholders in the air transport system.
Passengers, airlines, airports, ATC/ATM, manufacturers, government, local communities, freight operators, and industry lobbies.
Q: What defines an airfield (vs a commercial airport)?
Primarily general aviation activities (pilot training, business aviation) with little or no airline scheduled traffic.
Q: Give examples of Origin & Destination airports.
Regional airports such as Rotterdam, Eindhoven, Groningen, Maastricht, Düsseldorf.
Q: What characterizes a hub airport?
High traffic volumes, capacity constraints, and dominance by one or a few carriers (examples: AMS, LHR, CDG, ATL).
Q: Which airports lead in flight movements and passengers according to ACI 2024 highlights?
Atlanta (ATL) led in both movements and total passengers; other top movement airports include ORD, DFW, DEN, LAS; top passengers include DXB, DFW, HND, LHR.
Q: Which airport ranked #1 for cargo tonnage in 2024?
Hong Kong (HKG).
Q: Which airport was #1 for international passengers in 2024?
Dubai (DXB).
Q: What are the three primary mechanisms through which air traffic growth occurs?
Increase in number of routes; increase in flight frequency on existing routes; increase in aircraft size (seat capacity).
Q: How are growth profiles layered for planning?
Annual envelope; seasonal envelope; daily and hourly (peak) profiles.
Q: Why is forecasting described as an art rather than a precise science?
It requires many assumptions, has inherent risk, and must account for uncertain future events and data limitations.
Q: Name typical inputs used in airport traffic forecasting.
Historical data span, price, income, employment, population, and chosen functional form (linear, log, exponential).
Q: What kinds of uncertainties must forecasts account for?
Economic recessions, fuel/oil shocks, pandemics, geopolitical events, and data quality issues.
Q: What practical forecasting approach is recommended in the lecture?
Short-term extrapolation (~5 years), long-term scenario ranges, and sensitivity testing.
Q: When should demand management be considered?
When capacity expansion is too costly, infeasible, or faces regulatory or local barriers.
Q: What are the main objectives of demand management at airports?
Reduce peak surges, lower delays, improve level of service, and reduce operational costs.
Q: Name three administrative demand management tools.
Slot coordination, schedule coordination with airlines, and lotteries or slot trading/swapping.
Q: What are common key principles in slot coordination?
Historical precedence, use-it-or-lose-it, and special provisions for new entrants.
Q: Give examples of economic tools for congestion management.
Congestion pricing, minimum landing fees, weight-based surcharges, flat fees, multipliers and minimum charges to internalize delay externalities.
Q: What is a hybrid demand management approach?
Combining administrative allocation (slots) with economic instruments (peak pricing, auctions, or surcharges).
Q: Provide a real-world operational example of demand management mentioned in the lecture.
LaGuardia (LGA) uses a slot lottery and hourly slot caps to control scheduling and peaks.
Q: What does a master plan for an airport start with?
A forecast that drives analysis of development options and selection of a preferred sequence of infrastructure projects.
Q: How are airport charges commonly structured (example Schiphol)?
By MTOW (weight), noise category, and time of day (peak/off-peak and night surcharges).
Q: What trade-offs are highlighted when comparing congested vs uncongested airports?
Movement profiles, passengers per movement, throughput, and how demand management affects delays and productivity (example comparisons: ATL vs LHR).
Q: What operational data are practical for informing planning decisions?
Monthly/annual traffic tables, continent summaries, and origin/destination rankings.
Q: What is the “use-it-or-lose-it” rule in slot management meant to prevent?
Slot hoarding and underutilization by ensuring slots are used or returned, promoting efficient use of constrained capacity.
Q: How can pricing internalize delay externalities?
By setting landing or peak charges that reflect marginal delay costs so airlines face the true cost of congesting the system.
Q: Why should demand management avoid distorting competitive markets?
To preserve fair access, avoid anti-competitive bias, and ensure market efficiency while addressing capacity constraints.
Q: What sensitivity checks are recommended for robust airport forecasts?
Test alternative assumptions, scenario ranges (optimistic/central/pessimistic), and compare functional forms and input variable sensitivities.