Transcript Document
LONG BEACH, CALIFORNIA 1 LONG BEACH, CALIFORNIA Airside Capacity Evaluation Techniques Matt Davis Assistant Director of Planning Hartsfield-Jackson Atlanta International Airport [email protected] 2 Agenda • Define the Problem • What’s the Appropriate Tool? • What are Your Data Sources? • Challenge Your Assumptions • Gain Consensus 3 Define the Problem • What Is Your Airfield Problem? – What Do Your Stakeholders Think the Problem is? – Is it in the Airspace? • Other Airport Conflicts? • Obstacles? • Noise Abatement Routes? – Is it on the Ground • Taxi in/Taxi Out Delay? • Runway Crossings? • Apron Congestion/Gate Availability? • How Do You Define Your Problem? – Demand versus Capacity, Delay, Or Something Else? • Air and/or Ground Delay • Gate Utilization • Payload/Range 4 Sample Problems • San Antonio Airspace – San Antonio International Airport • Runway 3-21 Vs Randolph Air Force Base 15-33 – Stinson Municipal ILS on Runway 14-32 • Kelly Air Force Base – Runway 15-33 • Stinson Municipal Airport – Runway 14-32 • San Antonio International Airport Runway 12-30 5 • SAT Airspace Image 6 Sample Problems • Ground – Hartsfield-Jackson Atlanta International Airport • 6th Runway? – Air and/or Ground Delay versus Taxi times • South Gate Complex? – Gate Utilization/Availability – Air and/or Ground Delay versus Taxi times • Extension of Runway 9L-27R – Payload/Range • Extension of Runway 10-28 – Air and/or Ground Delay versus Taxi times vs. 6th Runway 7 ATL 2009 Comprehensive Development Plan 8 Gate Metrics 9 Gate Metrics Gate Space Availability Chart July 20, 2006 Airline AA CO NW US UA YX Gate T9 T10 T11 T12 AA Total D6 D8 D10 D12 CO Total D13 D14 D15 D16 NW Total D21 D23 D25 US Total T13 T14 T15 UA Total D7 YX Total Totals Morning Peak 1 2 1 1 5 0 2 0 3 5 1 2 3 3 9 1 3 0 4 1 2 1 4 3 3 30 Mid-day Peak 0 0 1 0 1 1 2 2 3 8 3 3 2 3 11 3 2 0 5 1 3 2 6 2 2 33 Evening Peak 1 0 2 2 5 2 0 1 2 5 1 2 3 1 7 2 1 1 4 2 1 1 4 2 2 27 Total 2 2 4 3 11 3 4 3 8 18 5 7 8 7 27 6 6 1 13 4 6 4 14 7 7 90 Note 1: Available slots were selected based on a 1.5 gate service time. Note 2: Moring Peak: 0600-1200, Mid-Day Peak: 1200-1700, Evening Peak: 1700-2000 10 2008 ATL Gate Analysis Scenarios Today Overall Annual Passengers Per Gate Scenario A 0-5 Year Aircraft Size Growth Scenario B 5-10 Year Aircraft Size Growth Gates 200 Turns Per Day 7.2 Gates 187 178 Avg. Seats Flown Pax 74% Pax 75% Pax 80% Pax 85% 115.0 85,640,300 87,053,000 92,856,500 98,660,086 428,200 435,300 464,300 493,300 Annual Pax Per Gate 440,000 460,000 480,000 500,000 82,280,000 86,020,000 89,760,000 93,500,000 116.6 121.9 127.2 132.5 520,000 97,240,000 137.8 78,320,000 81,880,000 116.6 121.9 92,560,000 137.8 85,440,000 127.2 89,000,000 132.5 Notes: Scenario A Assumptions: Delta 737-700s/800s seats grow from 150 seats to 160 seats Delta MD88s replaced with 737-800s (108' wingspan replaced with 118' wingspan) Delta Connection 50 seat RJs replaced with 70 seat RJs Delta 757s & 767-300s equiped with winglets (10' to 14' increase in wingspan). AirTran regates Concourse C for greater 737 capability W/ loss of 2 gates. Imposed an average 20' wingtip to wingtip separation between aircraft Scenario B Assumptions: Delta 767-300s (214 seats) & 767-400s (285 seats) replaced with 787-8s (250 seats) & 787-9s (290 seats) Today W/ MHJIT 210 Scenario A 197 Scenario B 188 7.0 124.7 85,640,300 91,486,300 97,585,300 103,684,486 86,680,000 90,620,000 122.8 128.4 82,720,000 86,480,000 117.2 122.5 94,560,000 134.0 90,240,000 127.9 98,500,000 102,440,000 139.6 145.2 94,000,000 97,760,000 133.2 138.5 11 2008 ATL Gate Analysis Annual Pax Per Gate Aircraft Frontage Concourse T Concourse A Concourse B Concourse C Concourse D Concourse E Concourse F - Int'l Concourse G - Dom Total W/ F&G Gates 15 30 35 48 44 28 200 10 10 220 445,000 6,675,000 13,350,000 15,575,000 21,360,000 19,580,000 12,460,000 89,000,000 4,450,000 4,450,000 97,900,000 470,000 7,050,000 14,100,000 16,450,000 22,560,000 20,680,000 13,160,000 94,000,000 4,700,000 4,700,000 103,400,000 495,000 7,425,000 14,850,000 17,325,000 23,760,000 21,780,000 13,860,000 99,000,000 4,950,000 4,950,000 108,900,000 Turns Per Gate Based on 80% Load Factor 520,000 7,800,000 15,600,000 18,200,000 24,960,000 22,880,000 14,560,000 104,000,000 5,200,000 5,200,000 114,400,000 545,000 8,175,000 16,350,000 19,075,000 26,160,000 23,980,000 15,260,000 109,000,000 5,450,000 5,450,000 119,900,000 Avg. Seats Flown 147.6 160.2 145.8 83.6 80.5 169.5 115.0 201.9 110.1 125.2 445,000 5.4 5.0 5.4 9.5 9.9 4.7 6.9 3.9 7.2 6.3 470,000 5.7 5.2 5.7 10.0 10.4 4.9 7.3 4.2 7.6 6.7 495,000 6.0 5.5 6.1 10.6 11.0 5.2 7.7 4.4 8.0 7.1 520,000 6.3 5.8 6.4 11.1 11.5 5.5 8.1 4.6 8.4 7.4 545,000 6.6 6.1 6.7 11.6 12.1 5.7 8.5 4.8 8.8 7.8 12 Gate Metrics Airfield Capacity vs Gates Number of Gates vs. Hourly Runway Capacity 200 ATL2 ATL3 180 LAX3 LAX2 DFW2 160 DFW1 DFW 1.9 Gates per Capacity Unit 140 IAD3 IAD2 Number of Gates ATL LAX 120 1.0 Gate per Capacity Unit IAD EWR3 EWR2 EWR1 0.6 Gate per Capacity Unit MIA2 LAS2 SEA3LAS3 SEA2 SEA LAS BOS2 100 SFO3 80 LGA3 60 FLL3 FLL2 SFO2 BOS SFO LGA2 LGA FLL SAN3 SAN SAN2 40 20 0 0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 Hourly Runway Capacity Ranges (IFR - MVFR -VFR) Source: Jacobs Consultancy, February 2008 13 Gate Metrics Airfield Capacity vs Gates Number of Gates vs. VFR Hourly Runway Capacity 200 ATL 0.76 Gate per Capacity Unit 180 LAX ATL DFW 160 1.2 Gates per Capacity Unit Number of Gates 140 1.0 Gate per Capacity Unit IAD 120 0.6 Gate per Capacity Unit EWR 100 SEA LAS BOS SFO 80 LGA 60 FLL SAN 40 20 0 0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 Hourly Runway Capacity (VFR) Source: Jacobs Consultancy, February 2008 14 FAA ASV Delay Curve 15 What’s the Appropriate Tool? • Traditional Airfield Capacity Tools – AC 150/5060-5a Airport Capacity Handbook (ACRP currently studying an update to this 1985 document). – FAA Airfield Delay Model (Another 1980’s cheap solution) – Airfield Simulation Models (Very Complex & Very Expensive) • SIMMOD, TAAM, Airport Machine and FAA Technical Center RDSIM. This is not an exhaustive list. • Gate Scheduling Models – Numerous commercial and proprietary software packages are available. Airfield Models Are Data Sensitive. The Lack of Quality Data Can Make Your Results Suspect. 16 Tool Box • Handbooks/nomographs – (FAA Airport Capacity and Delay Advisory Circular) • “Analytical” models – (time-space diagrams, FAA Runway Capacity and Annual Delay models) • Runway queuing models – (L&B’s AirSim, Delays) • Microsimulation models – (SIMMOD, ADSIM/RDSIM, TAAM) • Real-time simulation methods – (FAA and NASA tower simulators) 17 ATL ASV Calculation Annual Service Volume Runway Use Configuration West Flow - VMC East Flow - IMC East Flow - VMC West Flow - IMC Total Cw = (1) (2) P 56.30% 3.70% 33.30% 6.70% C 204.92 162.84 204.92 162.84 (5) / (6) = (7) (3) Percent of Max Capacity 100% 79% 100% 79% (4) (5) W PxCxW 1 115.36996 15 90.3762 1 68.23836 15 163.6542 437.63872 (6) PxW 0.563 0.555 0.333 1.005 2.456 178.19 (8) (9) Average Peak Hour Annual Day Peak Peak Operations Month Month 964741 2793 2005 196 962069 223 2006 2779 978624 2808 231 2007 968478 2793 217 Average H - Hourly Ratio - [Avg.(8)] / [Avg.(9)] 12.89086849 D - Daily Ratio [Avg.(7)] / [Avg. (8)] 346.7492098 ASV = CwHD 796,498.63 Glossary of Terms and Accronyms P - Percentage of time runway use configuration C - Hourly capacity of runway-use configuration W - Weight assigned to runway-use configuration to account for fact that different delay levels occur on various runway-use configuration H - Hourly ratio or ratio of average daily operations in peak month to peak-hour operation in peak month D - Daily ratio or ratio of annual operations to average daily operations in peak month ASV - Annual Service Volume is a level of annual aircraft operations that may be used as a reference in preliminary planning. 18 VTASIM Range of Results 19 VTASIM Range of Results See Attached Document for Key Assumptions used in modeling. Modeled Delay Average Day Peak Month (All Passenger Airline Gates in CPTC) 35.0 Avg. Delay Per Operation 30.0 25.0 2007 Base Plus MHJIT + 15% 20.0 15.0 2007 Base Plus MHJIT + 10% 10.0 5.0 2007 Base Plus MHJIT + 5% 2007 Base 0.0 2,400 2,600 2,800 2007 Base Plus MHJIT 3,000 3,200 3,400 3,600 Avg. Day Peak Month Operations Airline-Airfield Working Group Validation Report 4 RWY W/ TW V EIS W/O 5th Runway Taxiway Y Analysis - Base Case EIS W/ 5th Runway 4 RWY W/O TW V 20 SIMMOD Sample • Simmod Video clip 21 What Are Your Data Sources? • Analysis is only as good as the data from which it is derived from. – Official Airline Guide (OAG) for Airline Schedule Information • Does not include Cargo, Charter, Military or General Aviation Operations – FAA - ASPM, Tower Counts, and ASR-9 records. – RITA BTS • Only includes those airlines that provide ACARS data to FAA • No International Flight Information – Airport Records • Recorded Observations • Sensis Aerobahn • Passur 22 VTASIM Range of Results • AeroBahn clip 23 Challenge Your Assumptions • How Do the Airlines/ATC Respond to These Events at Your Airport – IMC Conditions: What is the split between VMC and IMC? – CAT II and below: how often are you in low visibility conditions? – Snow/Icing Conditions: Throw their hands up in the air and quit? • What is the Impact of the Airlines’ Business Plans on Your Analysis? • What Are the Little Things You Can Do To Make Valuable Improvements? – End Around Taxiways – Strategically Placed High Speed Exits – New Runway Crossing Locations There Are Several Small Improvements That Can Pay Off In The Long Run. 24 Gain Consensus • Get Agreement Up Front on The Metrics You Will Use – How Detailed Do The Results Have To Be? • Delay in the Apron Areas, Runway Crossing, or Departure Queue • Overall Taxi times. (Delay plus unimpeded taxi time) – What’s Important and to Whom? • How Important is Safety When You are Preparing a Benefit/Cost Analysis? • How Do You Measure Safety if Your Concern is Efficiency? • What if There is No Differential Savings in the Results, but the Outcome is More Predictable? • What’s Your Definition of Acceptable Delay? 25