Configuration of Airport Passenger Buildings. Outline



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Configuration of Airport Passenger Buildings Dr. Richard de Neufville Professor of Systems Engineering and Civil and Environmental Engineering Massachusetts Institute of Technology Outline Introduction Motivation Important Ideas Range of Configurations Process of Evaluation Criteria of Selection Method of Analysis Differences in Traffic Loads on Buildings Performance of Configurations Recommendation Hybrid design responsive to future traffic

Motivation No Agreement in Industry about good configuration NACO -- X-shaped satellites in parallel rows: Bangkok/2nd Airport; Kuala Lumpur /International Atlanta -- Midfield lines: Denver/International Aeroports de Paris -- Triangles onto spine roads Paris/ de Gaulle Many Errors -- Many Choices have been inadequate for eventual traffic Dallas/Ft Worth -- linear building bad for transfers Boston/Logan -- International Building => domestic hub Important Ideas Airport Passenger Building NOT A TERMINAL, many passengers do not end their air trips there Many passengers transfer between Airlines ; Buildings ; Aircraft of an Airline Correct Choice NOT THE OPTIMUM, for assumed conditions RIGHT RESPONSE, over range of conditions

Change to View of Airport as Passenger Buildings F o r e c a s t N a r r o w B r o a d Criteria Considered Single (or Few) Prevalent in Current Practice "Terminals" Multiple Broad Range, Multiple Criteria Performance "Airport Passenger Buildings" Range of Conditions Pure Concepts Linear or Gate Arrival Pier ; Satellite Midfield Transporter Hybrid Concepts Combinations of Pure Elements Centralized and Decentralized Rail Access Automated People Movers Metropolitan

Linear: Dallas/Forth Worth Source: FAA Office of System Capacity www.asc.faa.gov Finger Pier: Miami/International Source: FAA Office of System Capacity www.asc.faa.gov

Satellites (New York/Newark) Satellites: Tampa

Midfield, Linear: Denver/Intl Source: FAA Office of System Capacity www.asc.faa.gov Midfield, X-shaped: Pittsburgh Source: FAA Office of System Capacity www.asc.faa.gov

Transporter: Washington/Dulles Source: FAA Office of System Capacity www.asc.faa.gov Hybrid: New York/LaGuardia Source: FAA Office of System Capacity www.asc.faa.gov

Hybrid: Chicago/O Hare Source: FAA Office of System Capacity www.asc.faa.gov Process of Evaluation Criteria of Selection Multiple Criteria Broad Forecasts Methods of Analysis Rapid, Computerized Differences in Traffic Loads on Buildings Percent Transfers Variability of Traffic Need for Services Performance of Buildings

Criteria of Selection Multiple Walking Distances Average, Extremes Terminating, Transfers Aircraft Delays Costs Under Range of Conditions High, Low Traffic High, Low Transfer Rates Methods of Analysis Manuals (IATA, ICAO, etc.) Limited Perspective Unsuitable for Major Projects Analytic Formulas Unrealistic Detailed Simulations Difficult to Set Up Too Slow for Planning Need: General, Computer Analysis

Problem Statement (Graphically) Speed Reference Manuals PBCE Tools Goal Analytic Formulae Simulations Flexibility Current Decision Support Is Inadequate Step 1 Selection Of Initial Configuration and Geometry Step 2 Reference Manuals/Texts LATA, ICAO, FAA, TRB, Parsons, Transport Canada, Ashford, Blow, Hart, Blankenship, Horonjeff and McKelvey Analytic Formulae Bandara, Robuste, Vandebona, Wirasinghe Computer- Based Need Detailed Layout of Floor Plan LATA, ICAO, FAA, TRB, Parsons, Transport Canada, Ashford, Blow, Hart, Blankenship, Horonjeff and McKelvey Impractical Dunlay, Pararas, BAA, FAA, Transport Canada, Private Industry

Difference in Loads Total Number of Passengers does not properly define loads on Buildings Effective Loads depend on Passenger Needs Key Load Characteristics: Transfer Rates (%) passengers changing aircraft, buildings or airlines Variability of Traffic Daily, Seasonal Patterns Need for Services International controls; Meals and accommodations Industry Structure Aircraft Types Transfer Rates Transfer passengers require: Easy Internal Flow ; No Airport Access Hub-and-Spoke Airports have very high transfer rates, more than 50% are increasing, worldwide Examples: High Rates: Chicago/O Hare, Minneapolis/St.Paul, Denver/Intl, Pittsburgh, Dallas/Fort Worth, Detroit/Metro, Salt Lake City, Hong Kong/CLK, Tokyo/Narita (Northwest), London/Heathrow, Amsterdam/Schiphol... Low Rates: Boston/Logan, San Francisco/Intl, Montreal/Dorval, London/Gatwick...

Variability of Traffic Steady Loads Low Cost/Passenger for Built Facilities Typical Case: Business Market Example: New York/LaGuardia Variable Loads Low Utilization for Marginal (less Attractive) Facilities High Cost/Passenger for Built Facilities Typical Case: Tourist, Special Event Markets Examples: London/Gatwick; Jeddah Performance Linear Centralized Satellite Midfield Transporter Sensitivity to Transfer Rates Industry Structure

Variation of Passenger Flows (London/Gatwick, Jun. 15-21, 1992) Passengers Per Day (thousands) 45 40 35 30 25 20 15 10 5 0 South Terminal North Terminal Mon. Tues. Wed. Thurs. Fri. Sat. Sun. Variation of Passenger Flows (London/Gatwick, 1992) Thousands of Passengers in South Terminal 60 50 May 4-10 July 20-26 40 30 20 10 0 Mon. Tues. Wed. Thurs. Fri. Sat. Sun.

Variations in Traffic at New York and London Airports (c.1975) JFK International JFK Domestic La Guardia Gatwick Heathrow 320 280 300 280 240 200 160 120 260 240 220 200 180 160 140 120 100 80 1 3 5 7 9 11 Months for which Traffic Exceeds % of Base 80 1 3 5 7 9 11 Months for Which Traffic Exceeds % of Base Variations in Traffic at New York and London Airports (1995) Kennedy La Guardia Gatwick Heathrow 200% 180% 160% 140% 120% 100% 1 2 3 4 5 6 7 8 9 10 11 12 Months for which Traffic Exceeds % of Base 240% 220% 200% 180% 160% 140% 120% 100% 1 2 3 4 5 6 7 8 9 10 11 12 Months for which Traffic Exceeds % of Base Source: Port Authority of NY/NJ, 1995 Source: ICAO Digest of Statistics, 1995

Example of Daily Traffic Fluctuations 14,000 12,000 10,000 8,000 6,000 4,000 2,000 Heathrow - Hourly Distribution of Passengers (Averaged over August 1997) 0 0 2 4 6 8 10 12 14 16 18 20 22 Source: www.baa.co.uk Arrivals Departures Total Hour of the Day 8,000 7,000 6,000 5,000 4,000 3,000 2,000 1,000 Gatwick - Hourly Distribution of Passengers (Averaged over August 1997) 0 0 2 4 6 8 10 12 14 16 18 20 22 Source: www.baa.co.uk Arrivals Departures Total Hour of the Day Cost High Performance: Linear Only one side of fingers used by aircraft Access Mixed Passengers: OK for locals, Terrible for Transfers Aircraft: Good Services: Poor Excessive Staff/Passenger Low Traffic for Concessions

Performance: Centralized Cost Relatively Low High per Passenger if Variability is high and expensive building often under used Access OK in General Especially good for transfers Not so good for aircraft Services Good Efficient use of Personnel High traffic for concessions Performance: Satellite Efficient Use of Waiting Areas Efficient for Transfers Best Designs Sensitive to Transfer Rates See Illustrations from Computer Analysis

Robustness to Level and Type of Transfer Traffic 1 Atlanta-Like Fraction of Hub Transfers Decentralized Midfield X Boston-Like 0 Decentralized Gate Arrival 0 Level of Transfer Traffic (P) 1 Robustness to Industry Structure Number of Competitors 4 3 2 1 Decentralized Gate Arrival Decentralized Parallel Pier O Hare-Like Atlanta-Like Centralized Midfield X 0 0 Level of Transfer Traffic (P) 1

Performance: Midfield Big Differences between Linear buildings (Atlanta) X-Shaped (Pittsburgh) Linear Space Needed/Aircraft Stand: Excellent Delays to Aircraft: Minimal Practical When distances between runways large X-Shaped Suitable for Narrow Airfields Space Needed/Aircraft Stand: Poor Delays to Aircraft: Large Performance: Transporter Cost Mixed Variability high: Good -- costs are reduced when service not needed Low Variability: High Costs Access Good Overall Passengers: generally good... delays on short flights Aircraft: Great Services Good

Recommendation: Hybrid Designs Best Hybrid designs best because: Meet Variety of Existing Needs Adapt Easily to Future Needs Cost-Effective Maximize quality of service to Passengers Airlines Airport Owners Example: Paris / Charles de Gaulle (Air France) Conclusion Configurations Cannot be best for all conditions... only for some limited conditions Since Conditions Vary For Airport Users: Business Shuttles, Holiday Traffic Over Time With Traffic Levels and Types Changes in Industry Structure Do not apply single configuration!