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Key Findings
Chunyan Yu
Air Transport Research Society (ATRS)
ww.atrsworld.org
© Air Transport Research Society (ATRS)
ATRS Global Airport Performance Benchmarking Task Force:
Founding Chairman – Tae Oum; Coordinator - Chunyan Yu
Asia Pacific: Peter Forsyth, Xiaowen Fu, Yeong‐Heok Lee, Yuichiro Yoshida,
Japhet Law, Shinya Hanaoka
Europe: Nicole Adler, Jaap de Wit, Hans‐Martin Niemeier, Eric Pels
North America: Bijan Vasigh, Jia Yan, Chunyan Yu
Middle East: Paul Hooper
2016 ATRS Global Airport Performance Benchmarking
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Outline
Objective of the ATRS Benchmarking Study
Airports Included and ATRS Database
Characteristics of Sample Airports
Methodology
Key Results on Efficiency and Cost Competitiveness
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2016 ATRS Global Airport Performance Benchmarking
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To provide a comprehensive, unbiased
comparison of airport performance focusing
on
Productivity and Operating/Mgt
Efficiency
Unit Cost Competitiveness
Comparison of Airport Charges
Limitation: Service Quality is not considered
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Objective of the Benchmarking Study
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Canada-US 82 airports
Europe 70 airports15 airport groups
Asia Pacific 9 airport groups 38 Asian airports15 Oceania airports
----------------------------------------------------------Total 205 airports
24 airport groups
Airports included in the 2016 Report
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The ATRS Database contains historic information (FY 2002-2014) including financial data, traffic and capacity data of the major airports and airport authorities (groups) in the following geographic regions:
– Asia Pacific
– Europe
– North America
The data in each regions is segregated into:
– Airport Information ( capacity, type of ownership etc)
– Traffic
– Aeronautical Revenue
– Non-Aeronautical Revenue
– Operating Expense
– Balance Sheet
Visit http://www.atrsworld.org/publications.html for more details.
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The ATRS Database
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Number of passengers ranges from 853,097 at Dunedin (New Zealand) to 96.2 million at Atlanta (United States) in 2014
40 airports with only 1 runway, and 7 runways at DFW and 8 at ORD
Number of Employees ranges from 19 (Queenstown) to 19,919 (Frankfurt)
12 airports serve only international passengers, and international passengers account for less than 10 % of total traffic at 60 airports
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Airport Characteristics
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Largest Five and Smallest Five (‘000)
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Passenger Traffic, 2014
0
20000
40000
60000
80000
100000
120000
PE
K
HN
D
DX
B
HK
G
CG
K
TSV
ZQN
NTL CEI
DU
D
LHR
CD
G
FRA
IST
AM
S
ZAG
TLL
SZG
BT
S
LJU
AT
L
OR
D
LAX
DFW JF
K
ALB YY
J
YYT
YQ
B
YQR
Europe North AmericaAsia Pacific
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Highest Five and Lowest Five
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Passengers per Aircraft Movement, 2014
0
50
100
150
200
250
DX
B
HN
D
HK
G
CJU
TP
E
CH
C
DU
D
WLG TSV
NA
N
LHR
LGW
ALC
STN
VC
E
ZAG
BT
S
TLL
LJU
LUX
JFK
MC
O
RSW AT
L
LAX
AN
C
SDF
YY
J
YQ
B
ME
M
Europe North AmericaAsia Pacific
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Highest Five and Lowest Five
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% OF Non-Aeronautical Revenue, 2014
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
HK
G
CM
B
GM
P
PU
S
TPE
ZQN
DR
W
XM
N
SZX
CG
K
BSL
KE
F
IST
CD
G
OR
Y
MLA
CG
N
BT
S
LED
BE
G
OK
C
TP
A
MC
I
BU
R
JAX
EW
R
ME
M JFK
LGA
AN
C
Europe North America
Asia Pacific
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• Variable Factor Productivity (VFP) Index– Total Factor Productivity (TFP) - Impossible
because of capital input cost accounting problem
• VFP is essentially the ratio of total (aggregate) output index divided by total (aggregate) variable input index, namely labor and soft cost input (total non-labor variable inputs).
• VFP is computed using the multilateral index procedure proposed by Caves, Christensen and Diewert (1982).
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Methodology
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• This multilateral output (input) index procedure uses the revenue (cost) shares to aggregate output (inputs)
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Multilateral Index Procedure
Methodology
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Methodology
Gross Variable Factor Productivity
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Factors Beyond Managerial Control:
• Airport size (Scale of aggregate output)
• Average aircraft size
• Share of international traffic
• Share of air cargo traffic
• Extent of capacity shortage - congestion delay
• etc
Residual (Net) variable factor productivity (RVFP) is computed after removing effects of these Factors
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Methodology
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Cost Competitiveness
• An airport enjoys lower unit costs than other
airports when that airport is more efficient, or
pays less for its inputs, or both
• A cost competitiveness indicator is constructed
by summing the effects of variable input price
and the effects of efficiency in using these
variable inputs.
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Methodology
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Key Results
Hong Kong, Jeju, Busan
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Key Results
Sydney, Auckland, Australia Pacific Airports Corporation
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Key Results
Copenhagen, Schiphol, AENA
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Key Results
Athens, Alicante Airport, EuroAirport
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Key Results
Atlanta, Charlotte, Minneapolis/St. Paul
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Key Results
Omaha, Victoria, Calgary
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• Asian Airports:
• Hong Kong, Jeju, Busan
• Oceania Airports:
• Sydney, Auckland
Asia Pacific:
• Large Airports (> 15 million pax):
• Copenhagen, Amsterdam, AENA
• Small/Medium Airports (< 15 millions Pax):
• Athens, Alicante Airport, EuroAirport
Europe:
• Large Airports (> 15 million pax):
• Atlanta, Charlotte, Minneapolis/St Paul
• Small/Medium Airports (< 15 millions Pax):
• Omaha, Victoria, Calgary
North America (Canada/US):
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Top Efficiency Performers (2016)
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• Cost Competitiveness
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Key Results
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Key Results
Jeju (S. Korea), Haikou (China), Soekarno–Hatta (Indonesia)
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Key Results
Queensland Airports Ltd, Sydney, Auckland
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Key Results
AENA, ANA, Copenhagen
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Key Results
Bratislava, Athens, Malta
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Key Results
Atlanta, Charlotte, Tampa
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Key Results
Omaha, Oklahoma, Victoria
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• Oceania:
• Queensland Airports, Sydney
• Asia:
• Jeju, Haikou
Asia-Pacific:
• Large Airports (> 15 million Pax):
• AENA, ANA, Copenhagen
• Small/Med Airports (< 15 million Pax):
• Bratislava, Athens
Europe:
• Large Airports (> 15 million Pax):
• Atlanta, Charlotte
• Small/Med Airports (< 15 million Pax):
• Omaha, Oklahoma
N. America:
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Top Cost Competitiveness Performers
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The ATRS Global Airport Performance
Benchmarking Report : 3 volumes,
over 600 pages of valuable data and
analysis.
ATRS Airport Database (2002-2014)
Details at
www.atrsworld.org
Report and Database sale finances benchmarking research project
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ATRS Airport Benchmarking Report and Database
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Thank You!
Ευχαριστώ!
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