1 LONG BEACH, CALIFORNIA. 2 Matt Davis Assistant Director of Planning Hartsfield-Jackson Atlanta...
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Transcript of 1 LONG BEACH, CALIFORNIA. 2 Matt Davis Assistant Director of Planning Hartsfield-Jackson Atlanta...
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LONG BEACH, CALIFORNIA
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Matt DavisAssistant Director of PlanningHartsfield-Jackson Atlanta International [email protected]
Airside Capacity Evaluation Techniques
LONG BEACH, CALIFORNIA
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Agenda
• Define the Problem
• What’s the Appropriate Tool?
• What are Your Data Sources?
• Challenge Your Assumptions
• Gain Consensus
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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
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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
• SAT Airspace Image
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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
ATL 2009 Comprehensive Development Plan
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Gate Metrics
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Gate Metrics
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T9 1 0 1 2T10 2 0 0 2T11 1 1 2 4T12 1 0 2 3
AA Total 5 1 5 11D6 0 1 2 3D8 2 2 0 4D10 0 2 1 3D12 3 3 2 8
CO Total 5 8 5 18D13 1 3 1 5D14 2 3 2 7D15 3 2 3 8D16 3 3 1 7
NW Total 9 11 7 27D21 1 3 2 6D23 3 2 1 6D25 0 0 1 1
US Total 4 5 4 13T13 1 1 2 4T14 2 3 1 6T15 1 2 1 4
UA Total 4 6 4 14YX D7 3 2 2 7
YX Total 3 2 2 7Totals 30 33 27 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
UA
Gate Space Availability ChartJuly 20, 2006
Total
AA
CO
NW
Morning Peak
Mid-day PeakEvening
PeakAirline Gate
US
2008 ATL Gate Analysis
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Scenarios Gates Turns Per Day
Avg. Seats Flown Pax 74% Pax 75% Pax 80% Pax 85%
Today Overall 200 7.2 115.0 85,640,300 87,053,000 92,856,500 98,660,086Annual Passengers Per Gate 428,200 435,300 464,300 493,300
Scenario A0-5 Year Aircraft Size Growth Gates 440,000 460,000 480,000 500,000 520,000
187 82,280,000 86,020,000 89,760,000 93,500,000 97,240,000116.6 121.9 127.2 132.5 137.8
Scenario B5-10 Year Aircraft Size Growth 178 78,320,000 81,880,000 85,440,000 89,000,000 92,560,000
116.6 121.9 127.2 132.5 137.8
Notes: Scenario A Assumptions:Delta 737-700s/800s seats grow from 150 seats to 160 seatsDelta MD88s replaced with 737-800s (108' wingspan replaced with 118' wingspan)Delta Connection 50 seat RJs replaced with 70 seat RJsDelta 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 7.0 124.7 85,640,300 91,486,300 97,585,300 103,684,486
Scenario A 197 86,680,000 90,620,000 94,560,000 98,500,000 102,440,000122.8 128.4 134.0 139.6 145.2
Scenario B 188 82,720,000 86,480,000 90,240,000 94,000,000 97,760,000117.2 122.5 127.9 133.2 138.5
Annual Pax Per Gate
2008 ATL Gate Analysis
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Aircraft Frontage Gates 445,000 470,000 495,000 520,000 545,000
Avg. Seats Flown 445,000 470,000 495,000 520,000 545,000
Concourse T 15 6,675,000 7,050,000 7,425,000 7,800,000 8,175,000 147.6 5.4 5.7 6.0 6.3 6.6Concourse A 30 13,350,000 14,100,000 14,850,000 15,600,000 16,350,000 160.2 5.0 5.2 5.5 5.8 6.1Concourse B 35 15,575,000 16,450,000 17,325,000 18,200,000 19,075,000 145.8 5.4 5.7 6.1 6.4 6.7Concourse C 48 21,360,000 22,560,000 23,760,000 24,960,000 26,160,000 83.6 9.5 10.0 10.6 11.1 11.6Concourse D 44 19,580,000 20,680,000 21,780,000 22,880,000 23,980,000 80.5 9.9 10.4 11.0 11.5 12.1Concourse E 28 12,460,000 13,160,000 13,860,000 14,560,000 15,260,000 169.5 4.7 4.9 5.2 5.5 5.7
200 89,000,000 94,000,000 99,000,000 104,000,000 109,000,000 115.0 6.9 7.3 7.7 8.1 8.5
Concourse F - Int'l 10 4,450,000 4,700,000 4,950,000 5,200,000 5,450,000 201.9 3.9 4.2 4.4 4.6 4.8Concourse G - Dom 10 4,450,000 4,700,000 4,950,000 5,200,000 5,450,000 110.1 7.2 7.6 8.0 8.4 8.8
Total W/ F&G 220 97,900,000 103,400,000 108,900,000 114,400,000 119,900,000 125.2 6.3 6.7 7.1 7.4 7.8
Annual Pax Per Gate Turns Per Gate Based on 80% Load Factor
Gate MetricsAirfield Capacity vs Gates
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FLL
IAD
SAN
SFO3
DFWDFW1DFW2
LAX
EWR1
LGA
SFO
BOS
FLL2
IAD2
SAN2
BOS2
LAX2
EWR2
LGA2
SFO2
FLL3
IAD3
SAN3
LAX3
EWR3
LGA3
LAS
LAS2LAS3
MIA2
SEASEA2SEA3
ATLATL2ATL3
0
20
40
60
80
100
120
140
160
180
200
0 20 40 60 80 100 120 140 160 180 200 220 240 260 280
Hourly Runway Capacity Ranges (IFR - MVFR -VFR)
Nu
mb
er
of
Ga
tes
1.0 Gate per Capacity Unit
0.6 Gate per Capacity Unit
1.9 Gates per Capacity Unit
Source: Jacobs Consultancy, February 2008
Gate MetricsAirfield Capacity vs Gates
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FLL
IAD
SAN
DFW
EWR
LAX
LGA
SFO
BOSLASSEA
ATL
0
20
40
60
80
100
120
140
160
180
200
0 20 40 60 80 100 120 140 160 180 200 220 240 260 280
Hourly Runway Capacity (VFR)
Nu
mb
er
of
Ga
tes
1.0 Gate per Capacity Unit
0.6 Gate per Capacity Unit
1.2 Gates per Capacity Unit
ATL0.76 Gate per Capacity Unit
Source: Jacobs Consultancy, February 2008
FAA ASV Delay Curve
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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.
Airfield Models Are Data Sensitive. The Lack of Quality Data Can Make Your Results Suspect.
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)
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ATL ASV Calculation
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Annual Service Volume
(1) (2) (3) (4) (5) (6)
Runway Use Configuration P C
Percent of Max
Capacity W P x C x W P x WWest Flow - VMC 56.30% 204.92 100% 1 115.36996 0.563East Flow - IMC 3.70% 162.84 79% 15 90.3762 0.555East Flow - VMC 33.30% 204.92 100% 1 68.23836 0.333West Flow - IMC 6.70% 162.84 79% 15 163.6542 1.005Total 437.63872 2.456Cw = (5) / (6) = 178.19
(7) (8) (9)
Annual Operations
Average Day Peak Month
Peak Hour Peak Month
2005 964741 2793 1962006 962069 2779 2232007 978624 2808 231
Average 968478 2793 217
H - Hourly Ratio - [Avg.(8)] / [Avg.(9)] 12.89086849D - Daily Ratio [Avg.(7)] / [Avg. (8)] 346.7492098
ASV = CwHD 796,498.63
Glossary of Terms and Accronyms
P - Percentage of time runway use configurationC - Hourly capacity of runway-use configurationW - Weight assigned to runway-use configuration to account for fact that different delay levels occur on
various runway-use configurationH - Hourly ratio or ratio of average daily operations in peak month to peak-hour operation in peak monthD - Daily ratio or ratio of annual operations to average daily operations in peak monthASV - Annual Service Volume is a level of annual aircraft operations that may be used as a reference in
preliminary planning.
VTASIM Range of Results
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VTASIM Range of Results
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SIMMOD Sample
• Simmod Video clip
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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
VTASIM Range of Results
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• AeroBahn clip
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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.
There Are Several Small Improvements That Can Pay Off In The Long Run.
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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?