Key Findings of 2013 ATRS Global Airport Performance...

2013 ATRS Global Airport Performance Benchmarking Project

Key FindingsProf. Tae Hoon Oum, Dr. Yap Yin Choo, Prof. Chunyan Yu

ATRS Global Airport Benchmarking Task Force:A i P ifi P F th Xi F Y H k L Y i hi Y hid J h t L Shi H kAsia Pacific: P. Forsyth, Xiaowen Fu, Yeong‐Heok Lee, Yuichiro Yoshida, Japhet Law, Shinya Hanaoka

Europe: Nicole Adler, Jaap de Wit, Hans‐Martin Niemeier, Eric PelsNorth America: Tae Oum, Bijan Vasigh, Jia Yan, Chunyan Yu

Middle East: Paul Hooper

OUTLINE

Objective of the ATRS Benchmarking Study

Airports Included and ATRS Database

Some Characteristics of Sample Airports

MethodologyMethodology

Key Results on Efficiency and Costs

User Charge Comparisons

Objective Data Airport Characteristics Methodology Efficiency & Cost User Charge

OBJECTIVE OF THE BENCHMARKING STUDYBENCHMARKING STUDY

To provide a comprehensive, unbiased comparison of airport performance focusing on

d d / ff Productivity and Operating/Mgt Efficiency Unit Cost Competitiveness Airport User Charges

Our study does not treat service quality differentials across airports because of ourresearch resource constraints



Airport Database

195 MAJOR AIRPORTS AROUND THE WORLD

Oceania Countries

Canada(12)

Asia Asia (35)

Countries(16)

United States(65)

Pacific, 51N. America, 77

( )(65)

Europe, 6712 new airports


26 AIRPORT GROUPS26 AIRPORT GROUPS

Asia Pacific ( 9)

1 new

Europe (17)

( 9)


ATRS AIRPORT DATABASE, FY 2002‐2011

The ATRS Database contains historic information (since FY 2002) including financial data, traffic and capacity data for the major airports and airport p y j p pgroups in the following geographic regions: Asia Pacific including Oceania; Europe; North America Limited data on S. America and Africa

The data in each continent is segregated into: Traffic statistics and composition Airport characteristics (runways, terminals, ownership form, etc) Aeronautical Activities and Revenue Non‐Aeronautical Activities and Revenue Labor input and other Operating Expenses

Fi i l i f b i d f B l Sh Financial info obtained from Balance Sheets Visit http://www.atrsworld.org/Database.html for more details and to

purchase.



Airport Characteristics

PASSENGERS TRAFFIC, FY2011 (IN ’000 PASSENGERS)

100,000Asia Pacific Europe North America

80,000


50,000

60,000

70,000

30,000

40,000

,

10,000

20,000


0

PEK

HND

HKG DXB

CGK

SIN

BKK

CAN

PVG

KUL

DEL

SYD

ICN

NRT

SHA

BOM

MNL

SZX

MEL

TPE

BNE

GMP

XMN KIX

AKL

SUB

MAA PER

HAK

NGO

HKT

ADL

CMB

CHC

OOL

WLG

PEN

MFM CN

S

CNX

GUM

DRW

NAN

PNH

HDY

REP

TSV

NTL

ZQN CEI

DUD

LHR

CDG

FRA

AMS

MAD

FCO

MUC

IST

BCN

LGW

ORY

ZRH

PMI

CPH

VIE

OSL

DUS

MAN MXP

ARN

BRU

DUB

STN

TXL

HEL LIS

ATH

SAW

HAM GVA

TLV

AGP

PRG

LPA

NCE

ALC

CGN

LED

LTN

EDI

WAW LIN

BUD

BHX

LYS

BGY

GLA

OPO CRL

BLQ

NAP

BRS

HAJ RIX

BSL

CIA

TRN

MLA

SOF

BEG

ZAG

KEF

TLL

LUX

SZG

BTS

LJU

ATL

ORD

LAX

DFW

DEN JFK

SFO

IAH

PHX

CLT

LAS

MIA

MCO

EWR

MSP

SEA

YYZ

DTW PHL

BOS

LGA

FLL

IAD

BWI

SLC

MDW DCA

HNL

SAN

YVR

TPA

PDX

YUL

STL

YYC

MCI

MEM MKE

BNA

OAK

HOU

RDU

CLE

AUS

SMF

SNA

MSY PIT

SJC

SAT

DAL

RSW

IND

CVG

CMH

YEG

PBI

ABQ

BDL

JAX

ONT

ANC

YOW

BUR

PVD

RNO

OKC

TUS

YHZ

YWG

SDF

RIC

ALB

YYJ

YQB

YYT

YQR

PASSENGER TRAFFIC (’000)-TOP 10 AIRPORTS:TOP 10 AIRPORTS:

FY 2007, 2009, 2011100,000

Asia Pacific Europe North America

70,000

80,000


40,000

50,000

60,000

10 000

20,000

30,000

0

10,000

2007 2009 2011


2007 2009 2011

AIRCRAFT MOVEMENTS, FY 2010 (’000 ATM)

1000


800

900


500

600

700

300

400

100

200


0

PEK

HND

CAN

CGK

PVG

HKG

SIN

DEL

BKK

SYD

KUL

BOM

SHA

ICN

SZX

MNL

MEL

NRT

BNE

TPE

AKL

XMN

GMP

MAA

KIX

SUB

PER

WLG

HAK

NGO

ADL

CHC

NAN

HKT

PEN

GUM

CMB

CNS

MFM OOL

CNX

TSV

DRW

REP

PNH

NTL

HDY

DUD

ZQN CEI

CDG

FRA

LHR

MAD

AMS

MUC

FCO IST

BCN

ZRH

CPH

LGW VIE

BRU

OSL

ORY

DUS

ARN

MXP

HEL

PMI

ATH TXL

MAN

DUB

GVA

HAM

NCE

PRG

LIS

STN

CGN

WAW LYS

SAW LED

LPA

BUD

AGP

EDI

TLV

LTN LIN

BHX

BSL

CRL

LUX

HAJ

ALC RIX

GLA

BGY

BLQ

BRS

NAP

OPO

CIA SOF

BEG

TRN

ZAG TLL

LJU

MLA BTS

KEF

SZG

ATL

ORD

DFW DEN LAX

CLT

IAH

LAS

DTW PHL

PHX

YYZ JFK

EWR

MSP SFO

MIA

LGA

BOS

SEA

MEM

MCO

SLC

YVR

IAD

DCA

HNL

BWI

FLL

YYC

YUL

PDX

MDW CLE

STL

SAN

TPA

OAK

CVG

MKE

HOU

RDU

IND

SDF

MCI

PIT

YOW YEG

AUS

SAT

DAL

YWG

CMH

SMF

ABQ

MSY

ANC

SJC

BDL

BNA

BUR

SNA

YHZ

JAX

ONT

RSW YQB YYJ

RIC

OKC

PVD

ALB TUS

PBI

RNO

YYT

YQR

PASSENGERS PER AIRCRAFT MOVEMENTS,,FY 2011

200

i ifi h i

160

180Asia Pacific Europe North America

100

120

140

60

80

0

20

40

RT

ND KK

KG

SIN

TPE

CN KT EK MP OL

HA

MB GK UL

CEI NL EL DY

UB AN IX SZX ER YD AK M DEL VG

NE

NX

MN

GO

AA

FM DL

QN EN NS KL

NH W NTL EP HC

UD LG TSV M AN

HR W LC TLV TN MI

ST DG

GP

RY

MS

GY

RA AD UB W CO AN CN LA LIS

XP

PO

TXL

TN LIN LA PA RN

HX

UC US

AP

OSL PH

EDI

IA RH KEF RS

ZG M VIE LQ RN ED TH UD

VA

RU

RG

AW

HEL OF

GN

LYS IX EG RL

CE AJ

BTS

BSL

AG TLL

LJU

UX FK CO EA BI

AX NA FO NA SW DW

PA

AN FLL IA ATL SY SJC HX

MF

WI

FW WR EN SP NO

AD OS

LAS

YYZ RD

AH

CLT US CI

TW AX HL

DX

SLC AT

CA

GA AL

STL VD

PIT NL

DU DL

YUL

TUS

NT

OU KE

VR KC

MH BQ

YYC AK

ND UR

YEG NC IC CLE

YHZ

VG LB YYT W QR EM WG DF

YYJ

QB


NR

HN BK

HK S T IC HK PE

GM OO SH CM CG

KU C

M M HD

SU CA K SZ PE SY HA

BO D PV

BN

CN

XM NG

MA

MF AD

ZQ PE

CN AK

PN

DR N RE

CH

DU

W TSGU NA LH LG AL T ST PM I CD

AG

OR

AM BG

FR MA DU

SA F C MA BC

ML

MX

OP TX LT L GL LP AR

BH

MU DU

NA O CP E C ZR K BR SZ

HA V BL

TR LE AT

BU

GV

BR

PR

WA H SO CG LY R BE C NC HA B B ZA T LJ LU J

MC SE P LA BN SF SN RS

MD TP SA F M A M S PH

SM BW

DF

EW DE

M RN IA BO LA YY OR IA C AU

M DT JA PH

PD S SA DC

LG DA ST PV P HN

RD BD YU TU ON

HO

M YV OK

CM AB YY OA IN BU YE AN R C YH CV AL YY YO YQ ME YW SD Y YQ

AIR CARGO TRAFFIC, FY 2010 ,(’000 METRIC TONS)

4500

Asia Pacific North AmericaEurope

3500

4000

Asia Pacific North AmericaEurope

2500

3000

1500

2000

0

500

1000


0

% NON‐AERO REVENUE, FY 2011

70%

80%


60%

40%

50%

20%

30%

10%


0%

HKG OOL

TSV

DUD AKL

GMP

PER

CAN

CMB

ICN

NAN BNE

SIN

SYD

CHC

MEL

HAK

GUM ZQN

NRT

PEK

NTL

PVG

WLG ADL

BKK

CEI

HDY

HKT

CNX

SZX

DRW

XMN

NGO

KUL

KIX

CGK

PEN

FRA

OSL BSL

CDG

ORY

NCE

TRN

HAJ

AMS

ATH CPH

VIE

BUD

DUB

CIA

FCO

TLV

RIX

ZRH

TLL

LIN

MXP LTN

BHX

LYS

ZAG

MAN

HAM LJU

GVA GLA

ARN NAP

MUC

SOF

LGW EDI

BGY

STN LIS

OPO

SAW

LHR

SZG

MLA

CGN

DUS

LPA

ALC

AGP

BLQ

TXL

WAW

BCN

BTS

HEL

PMI

MAD

LED

BEG

OKC TPA

BUR

MCI RIC

JAX

PHX

FLL

YYJ

MCO YQR

ATL

CMH

RNO

BNA

RDU

IND

MKE

DAL

MSP YEG

TUS

YQB

SLC

YYC PBI

SMF

DFW

SNA

RSW SJC

CLT

YVR

AUS

ALB

ABQ

YYT

SAN

SAT

SDF

PVD

YHZ

BOS

YUL

YOW LAS

DTW

HOU

CVG

HNL

OAK

DCA

SFO

PDX

ONT BDL

MSY

LAX

SEA

DEN

YWG

BWI

PIT

IAD

MIA

IAH

MDW

ORD PHL

YYZ

CLE

STL

EWR

LGA

JFK

MEM ANC


Methodology

AIRPORT PRODUCTIVITY INDEXAIRPORT PRODUCTIVITY INDEX

Outputs Inputs

• Aircraft movement• Passenger

• Labour• Other non‐capitalPassenger

• {Cargo tonnes}• Non‐aeronautical

Other non capital (soft‐cost) input

• [Runways, terminal revenue output size, # of gates]

© Air Transport Research Society (ATRS)Objective Data Airport Characteristics Methodology Efficiency & Cost User Charge

METHODOLOGY: EFFICIENCY MEASUREMENTEFFICIENCY MEASUREMENT

Variable Factor Productivity (VFP) Indexy ( ) Impossible ‐ Total Factor Productivity (TFP) because of capital input cost accounting problem (comparable across different countries)

Unit Operating Cost Competitiveness Index:Unit Operating Cost Competitiveness Index: Combines VFP and Input Price Index


MULTILATERAL AGGREGATION METHOD• This multilateral output (input) index procedure uses the following revenue (cost) shares touses the following revenue (cost) shares to aggregate output (inputs)


GROSS VARIABLE FACTOR PRODUCTIVITY (VFP)NORTH AMERICA LARGE AIRPORTSNORTH AMERICA LARGE AIRPORTS

(YVR=1.0), FY 2011

1.6

1.8

2

1

1.2

1.4

0.4

0.6

0.8

0

0.2

ATL

CLT

MSP YVR

LGA

TPA

MCO SLC

PHX

FLL

SFO

LAS

EWR

SEA

MDW DTW PHL

DCA

HNL

BOS

DFW

ORD SAN

DEN JFK

IAD

IAH

BWI

LAX

MIA


M

POTENTIAL REASONS FOR THE MEASURED PRODUCTIVITY (GROSS VFP) DIFFERENTIALSPRODUCTIVITY (GROSS VFP) DIFFERENTIALS

Factors Beyond Managerial Control:Factors Beyond Managerial Control:

• Airport size (Scale of aggregate output)i f i i h i• Average aircraft size using the airport

• Share of international traffic• Share of air cargo traffic• Extent of capacity shortage ‐ congestion delay• Connecting/transfer ratio

id l ( ) i bl d i iWe compute residual (Net) Variable Factor Productivity (RVFP) after removing effects of these Factors

© Air Transport Research Society (ATRS) 20Objective Data Airport

Characteristics Methodology Efficiency & Cost User Charge

GROSS VARIABLE FACTOR PRODUCTIVITY VS RESIDUAL VFP: NORTH AMERICARESIDUAL VFP: NORTH AMERICA

(YVR=1.0), FY 20112

1.4

1.6

1.8

2

0.8

1

1.2

0

0.2

0.4

0.6

0

ATL

MSP CLT

TPA

MCO YVR

SFO

FLL

LGA

MDW SL

CSEA

HNL PHX

EWR

BOS

JFK

DTW PHL

LAS

SAN

DCA

BWI

IAD

DFW ORD IAH

DEN MIA

Gross VFP Residual VFP


ALTERNATIVE APPROACHESALTERNATIVE APPROACHES

We explored Alternative approaches:e e p o ed te at e app oac es: Data Envelopment Analysis (DEA) Econometric Cost Function Approach including Stochastic Frontier methods (SFA)

Th ki f t d b tt k d i t The rankings for top and bottom ranked airportsare consistent despite using VFP, DEA or SFA.

Note: Industry acceptance of our report using more advanced/sophisticated methods is one of our major concern

RESIDUAL RANKING COMPARISON OF TOP 15 AIRPORTS IN US

55

35404550

20253035

Rank

51015

0

ATL

RDU

RNO

CLT

PBI

BNA

MSP JAX

LGA

SAT

TPA

SNA

MCO

MKE FLL

Residual VFP Ranking Residual DEA Ranking Residual SFA Ranking

© Air Transport Research Society (ATRS) 23



RESIDUAL RANKING COMPARISON OF BOTTOM 15 AIRPORTS IN US

55

35404550

20253035

Rank

510150

0

BOS

CVG

CLE

SJC

ALB

PHL

DFW STL

ONT

LAX

ORD BWI

PIT

MSY

MIA





RESIDUAL RANKING COMPARISON OF MID‐RANKED 15 AIRPORTS IN US

55

35404550

20253035

Rank

051015

0

PDX

SAN

SLC

OAK RIC

ABQ

SEA

HNL

EWR

IAD

LAS

MEM

MDW DCA

IAH

JFK

IND

PHX

SMF

AUS

SDF

DEN

DTW

SFO

MCI





2013 ATRS Airport Benchmarking

Key Results on Efficiency & Cost

RESIDUAL (NET) VARIABLE FACTOR PRODUCTIVITY (VFP): ASIA (HKG=1.0), FY 2011(VFP): ASIA (HKG 1.0), FY 2011

GMP1.4

Gimpo, Incheon, GuamICN

GUM

HAK

HKG

1

1.2

Airports AirportGroupsSIN

CGK

PEK

HDY

CAN

CNX

PVG

PEN

XMN

HKT

K X T

KAC

AAI

APII

AOT

MAH

B

0.6

0.8

H

BK SZX

NRT

KUL

CMB

NGO

KIX0.4

0

0.2

R id l VFP M


Residual VFP Mean

RESIDUAL (NET) VARIABLE FACTOR PRODUCTIVITY (VFP): OCEANIA (SYD=1.0), FY 2011(VFP): OCEANIA (SYD 1.0), FY 2011

D L1.2

Airports Airport GroupsSydney, Auckland, Townsville

SYD

AKL

TSV

DRW

MEL

OOL

CHC

DUD

BNE

N

APA

C

QAL

ADG

0.8

1

Airports p p

B

PER

ZQN

ADL

WLG

NAN0.6

0.8

NTL

0.4

0

0.2


Residual VFP Mean

RESIDUAL (NET) VARIABLE FACTOR PRODUCTIVITY (VFP): EUROPE LARGE AIRPORTS (CPH=1.0), FY 2011EUROPE LARGE AIRPORTS (CPH 1.0), FY 2011

PH

1.2

Copenhagen Kastrup, Athens, Zurich

CAT

HZRH

OSL

LIS

MS

G ANA

hiph

ol

0.8

1

AirportGroups

AM CDG

FCO

ARN

MXP

PMI

VIE

MAN

IST

LGW

STN

HEL

ORY

DUB

BCN

L D

ScAD

RAD

PSw

edavia

Avinor

SEA

DAA

MAG

Berlin

AENA

rapo

rtavia

0.6

H O D BTXL

MAD

DUS

FRA

LHR

MUC

B A FrFina

BAA

TAV

PPL

0.4

0

0.2


RESIDUAL (NET) VARIABLE FACTOR PRODUCTIVITY (VFP): EUROPE SMALL & MEDIUM AIRPORTS (CPH=1.0), FY 2011EUROPE SMALL & MEDIUM AIRPORTS (CPH 1.0), FY 2011

A E0.9

1

Geneva, Basel, Nice

GVA

BSL

NCE

CIA

LJU

BHX

BLQ

SAW

HAJ

KEF

TLV

EDI

LPA

TN N L C P

0.7

0.8

LT TR TLL

ALC

NAP

BGY

MLA

GLA

HAM

RIX

AGP

SZG

BUD

ZAG

SOF

LIN

BTS AW

0.5

0.6

Z S L B WA

BEG

CGN

LED

0.3

0.4

0

0.1

0.2


0

RESIDUAL (NET) VARIABLE FACTOR PRODUCTIVITY (VFP): NORTH AMERICA LARGE AIRPORTS (YVR=1.0), FY 2011NORTH AMERICA LARGE AIRPORTS (YVR 1.0), FY 2011

ATL

1.6

1.8

Atlanta, Minneapolis St. Paul, CharlotteMSP

CLT

A O1.2

1.4

TPA

MCO

YVR

SFO

FLL

LGA

MDW

SEA

SLC

HNL

EWR

PHX

BOS

JFK

DTW

PHL

AN AS A

WI

D0 8

1

D P SA LA DCA

BW IAD

DFW

ORD

IAH

DEN

MIA

LAX

0 4

0.6

0.8

0.2

0.4


0

RESIDUAL (NET) VARIABLE FACTOR PRODUCTIVITY (VFP): N. AMERICA SMALL & MEDIUM AIRPORTS (YVR=1.0), FY 2011N. AMERICA SMALL & MEDIUM AIRPORTS (YVR 1.0), FY 2011

OKC

1.6

Oklahoma City, Richmond, Raleigh‐Durham

RIC

RDU

YYJ

YYC

BNA

YQR

PVD

DL

1.2

1.4Y P B

PBI

TUS

RNO

YYT

JAX

MKE

YEG

SNA

ABQ

PDX

SJC

SAT

IND

MSY

RSW

DAL

YOW

SMF

YHZ

AUS

MCI

MEM

YWG

AK F H R

0.8

1

OA

SDF

CM BUR

ANC

ALB

CVG

YUL

PIT

ONT

HOU

STL

CLE

YQB

0 4

0.6

0.2

0.4


0

TOP EFFICIENCY PERFORMERS (2013)(based on Net VFP index=operating/management efficiency)(based on Net VFP index=operating/management efficiency)

A i Ai t

Asia Pacific:

• Asian Airports:• Gimpo, Incheon, Guam

• Oceania Airports:Oceania Airports:• Sydney, Auckland, Townsville

Europe:

• Large Airports (> 15 million pax):• Copenhagen Kastrup, Athens, Zurich

Europe:

• Small/Medium Airports (< 15 millions Pax):• Geneva, Basel, Nice



TOP EFFICIENCY PERFORMERS (2013)(based on Net VFP index=operating/management efficiency)(based on Net VFP index=operating/management efficiency)

L Ai t ( 15 illi )

North America:

• Large Airports (> 15 million pax):• {Atlanta (Globally Most Efficient Airport)}•Minneapolis St Paul, Charlotte, Tampa

• Small/Medium Airports (< 15 millions Pax):• Oklahoma City, Richmond, Raleigh‐Durham

Global (10th Global Excellence Award)

• Hartsfield‐Jackson Atlanta International Airport



PAST AIRPORT EFFICIENCY EXCELLENCE TOP PERFORMERS, 2008 ‐ 2012

20122008 2009 2010 2011

North America

Hartsfield‐Jackson Atlanta International

Airport


Airport


Airport


Airport


Airport

Large Airport Category:

Europe

Large Airport Category: Copenhagen KastrupInternational AirportSmall/Medium Airport

Category:Genève Aéroport

Copenhagen KastrupInternational Airport

Copenhagen KastrupInternational Airport

Large Airport Category: Oslo International

AirportSmall/Medium Airport

Category:Geneva Cointrin

International Airport

Large Airport Category: Oslo International

AirportCopenhagen KastrupInternational AirportSmall/Medium Airport

Category:Genève Aéroport

Asia‐Pacific

Asian Airport Excellence Award:

Seoul GimpoInternational AirportOceania Excellence

Award:Sydney Airport

Hong Kong International Airport


Large Airport Category:Hong Kong International

AirportSmall/Medium Airport

Category:Seoul Gimpo

International Airport

Asian Airport Excellence Award:


Oceania Excellence Award:

Sydney Airport


COST COMPETITIVENESS = NET VFP AND INPUT PRICE EFFECT ASIA (HKG=0 0) – THE HIGHER THE BETTERASIA (HKG=0.0) THE HIGHER THE BETTER

HAK

GMP

K AAI

0.5

AirportGroupsAirports

CGK

CMB

XMN

HKG

HDY

ICN

CNX

PVG

PEK

PEN

SZX

HKT

BKK

UL AN M

APII

AOT

MAH

B

C

0

KU CA

GUM

SIN

M

KAC

‐0.5

Haikou, Seoul Gimpo, Airport Authority of India

O‐1.5

‐1

p y

NGO

KIX

NRT

‐2


Cost Competitiveness Mean

COST COMPETITIVENESS = NET VFP AND INPUT PRICE EFFECT OCEANIA (SYD=0 0)OCEANIA (SYD=0.0)

AKL

UD

QAL

0 2

0.3

AirportGroupsAirport s

A

DU

CHC

SYD

0

0.1

0.2

ZQN

EL APAC

0 2

‐0.1

0

M

WLG

DRW

BNE

PER

L

ADG

0 4

‐0.3

‐0.2

Queensland Airport Limited (QAL),P

ADL

NTL

0 6

‐0.5

‐0.4 Auckland, Dunedin (NZ)


‐0.6

COST COMPETITIVENESS = NET VFP AND INPUT PRICE EFFECT EUROPE ‐ LARGE AIRPORTS (CPH=0 0)EUROPE LARGE AIRPORTS (CPH=0.0)

TH

0.4

Airport GroupsAirports

ALIS

CPH

ANA

0

0.2

MAN

PMI

FCO

STN

MXP

BCN

AMS

MAD VIE

GW RN UB RA

PPL

TAV

MAG

ADR

Schiph

olFraport

SEA

DAA

via

0 4

‐0.2LG A DU FR

LHR

DUS

MUC

CDG

TXL

ZRH

ORY

HEL

OSL

S F

Swed

avAE

NA BAA

ADP

Berlin

Finavia

‐0.6

‐0.4

Athens Lisbon ANA (Aeroportos de Portugal)

Avinor

‐1

‐0.8

Athens, Lisbon, ANA (Aeroportos de Portugal)


COST COMPETITIVENESS = NET VFP AND INPUT PRICE EFFECT EUROPE ‐ SMALL & MEDIUM AIRPORTS (CPH=0 0)EUROPE SMALL & MEDIUM AIRPORTS (CPH=0.0)

LJU

BSL

L0.3

0.4

TLL

RIX

SOF

MLA

BTS

CIA

SAW

BHX

BEG

BUD

ZAG

0.1

0.2

LPA

WAW

ALC

LTN

EDI

HAJ

NCE

KEF

Y N

‐0.2

‐0.1

0

BGY

TRN

AGP

LED

GLA

NAP

HAM

TLV

LIN

SZG

BLQ

GN

‐0.4

‐0.3

Ljubljana(Slovenia), Basel, Tallinn (Estonia)

B

CG

GVA

‐0.7

‐0.6

‐0.5


COST COMPETITIVENESS = NET VFP AND INPUT PRICE EFFECT N AMERICA ‐ LARGE AIRPORTS (YVR=0 0)N. AMERICA LARGE AIRPORTS (YVR=0.0)

ATL

LT

1

CL

MCO

MSP

FLL

SLC

PHX

YVR

0

0.5

LAS

DTW

SEA

IAH

DFW

BWI

HNL

MDW SAN

ORD

DEN

PHL

BOS

MIA

DCA

IAD

SFO

LAX‐0.5

A l Ch l O l d

EWR

TPA

‐1

Atlanta, Charlotte, Orlando

JFK

LGA

‐2

‐1.5


COST COMPETITIVENESS: = NET VFP AND INPUT PRICE EFFECT N AMERICA ‐ SMALL & MEDIUM AIRPORTS (YVR=0 0)N. AMERICA SMALL & MEDIUM AIRPORTS (YVR=0.0)

C

1

OKC

RIC

RDU

0.6

0.8

Oklahoma City, Richmond (Virginia), Raleigh‐Durham

RBN

ATU

SAB

QIND

RNO

PBI

YYC

JAX

YQR

SAT

DAL

MSY J

0.4

S D MYYJ

MKE

SDF

PVD

MEM

RSW

MCI

AUS

YEG

YYT

MH DX L

0

0.2

YCM P BD BUR

ALB

SNA

CVG

HOU

YWG

PIT

STL

SMF

CLE

YHZ

YUL

SJC

YOW

YQB

ONT

NC0 4

‐0.2


AN‐0.4

2013 ATRS Airport Benchmarking

User Charge Comparison

LANDING CHARGES FOR BOEING 767‐400 2012 (IN US$)FOR BOEING 767‐400, 2012 (IN US$)

8,000

6,000

7,000

4,000

5,000

US$

2,000


0

1,000

GUM KUL

DXB

CMB

TPE

SUB

BKK

CEI

CNX

HDY

HKT

CGK

MNL

BOM DEL

MAA

PEN

PNH

REP

CAN

HAK

PEK

PVG

SHA

SZX

XMN

MFM DUD

ICN

GMP

SIN

NAN

ZQN

PER

HKG

WLG AKL

NTL TSV

L‐Night

OOL SYD

NGO

DRW KIX

NRT

HND NAP BGY

DUS

ARN

ff peak BRU

LTN

MLA

N‐peak

ff‐peak RIX

FRA

BLQ

LUX

MUC TRN

FCO

MXP LIN CIA

Sector)

PRG LIS

OPO VIE

ZAG

GLA

HEL

HAM

GVA EDI

KEF

TXL

offpeak

ALC

CPH

NCE

CGN

Sector)

SAW

N‐peak

IST

offpeak

OF‐peak OSL LED

AGP

LPA

PMI

LYS

BCN

ZRH

BUD

BEG

HAJ

TLL

MAD CRL

ATH TLV

CDG

ORY

AMS

WAW

LHR

BHX

BTS

LJU

W‐peak

SZG

DUB

BRS

CLT

ATL

BUR

RIC

TUS

MEM SAT

PBI

PHX

SLC

SAN

RNO

MCO PHL

MSY

RDU

IND

SDF

TPA

BNA

HOU JAX

ABQ MCI FLL

ONT SNA

*ANC

MSP SJC

MIA

RSW

ALB IAH

LAS

OKC

*YVR SEA

AUS

CMH

DCA

OAK

DTW

PDX

MDW

*YYJ

*YQR

DFW

BDL

IAD

*YOW

DEN

*YEG PIT

*YHZ BWI

HNL

SMF

LAX

*YYC

MKE

*YWG

*YUL BOS

SFO

*YYT

ORD

ff Peak STL

FK Peak

*YQB

ff Peak

WR Peak

ff Peak

A Peak

*YYZ


NTL

STN‐o ST

LGW‐of

BSL (France S

SOF‐o

BSL (Sw

iss S

MA

MAN

‐ o SO LGW

*JFK

O *JF

*EWR Of

*EW

*LGA

Of

*LGA

Landing Charges for Boeing 767 Mean

ASIA PACIFIC: COMBINED LANDING AND PASSENGER CHARGES FOR BOEING 767, 2012 (IN US$) 16,000

Lowest charges: Taipei Taoyuan Dunedin (New Zealand)

12,000

14,000Lowest charges: Taipei Taoyuan, Dunedin (New Zealand)Highest charges: Osaka Kansai, Tokyo Narita

8,000

10,000

US$

4,000

6,000

0

2,000

TPE

DUD

DEL

BOM

MAA HKG

GUM

KUL (LCCs)

SIN (LCC

s)CM

BMNL

MFM SIN

CAN

HAK

PEK

PVG

SHA

SZX

XMN

KUL

GMP

SUB

CGK

ICN

DXB

ZQN

PEN

WLG CEI

CNX

HDY

HKT

BKK

TSV

PNH

REP

PER

MEL NTL

OOL

NTL‐Night

DRW

ADL

CNS

SYD

BNE

BNE‐Pe

akNG

OAK

LHN

DNR

T‐1N

NRT‐1S

NRT‐2

KIX


K S

Combined Landing and Passenger Charges for Boeing 767 Mean

EUROPE: COMBINED LANDING AND PASSENGER CHARGES FOR BOEING 767 2012 (IN US$)PASSENGER CHARGES FOR BOEING 767, 2012 (IN US$)

18,000

Lowest charges: Riga (Latvia), Luxembourg

12,000

14,000

16,000

Highest charges: London Heathrow, Ben Gurion (Tel Aviv)

8,000

10,000

US$

2,000

4,000

6,000

0

RIX

LUX

CRL

NAP

BGY

MAN

‐offp

eak

CIA

ARN

HEL

BLQ

KEF

CGN

OSL TLL

FCO (LCC

s)STN‐off p

eak

ZAG

GVA

ALC

MAN

‐peak

STN‐pe

akCP

H(LCCs)

AGP

LPA

PMI

BSL (France

Sector)

LTN

FCO

BCN

TRN

MXP NCE

BUD (LCC

s) LIN

LGW‐off‐pe

akGL

ADU

SED

ISO

F‐offpeak

CPH

HAM

MAD

SOF‐pe

akMLA IST

HAJ

OPO

BSL (Sw

iss Sector) LIS

TXL

BEG (LCC

s)LYS

SAW

TLV(LCCs)

VIE

BUD

LED

MUC BHX

BRU

AMS

ATH

WAW DUB

BEG

FRA

LGW‐peak

SZG

PRG

BTS

LJU

ZRH

BRS

ORY

CDG

TLV

LHR


B

Combined Landing and Passenger Charges for Boeing 767 Mean

NORTH AMERICA: COST PER ENPLANED ( $)PASSENGER, 2011 (IN US$)

40 Canada:Lowest CPE: Victoria, Regina

30

35 Highest CPE: Toronto, Montreal

20

25

US$

US Airports Canadian Airports

United States:Lowest CPE: Charlotte, California Bob Hope (Burbank,CA)Highest CPE: New York JFK, Newark Liberty

10

15

Highest CPE: New York JFK, Newark Liberty

0

5

CLT

BUR

ATL

SLC

FLL

MCI

TPA

MEM PHX

MKE

MSP

OKC

MCO RIC

RDU

BNA

DFW JAX

RNO

SDF

SAN

TUS

MSY

RSW

CMH

HOU

ALB

PBI

MDW ABQ

AUS

LAS

DTW

BDL

SAT

IAH

PHL

SNA

BWI

SMF

ANC

IND

OAK PVD

HNL

SEA

LAX

DEN SJC

PDX

ONT

ORD STL

DCA

BOS

SFO

LGA

PIT

MIA IAD

EWR

JFK

YYJ

YQR

YEG

YYC

YYT

YQB

YVR

YHZ

YOW

YWG

YUL

YYZ


M M

CPE US Mean Canada Mean

ATRS AIRPORT BENCHMARKING REPORTATRS AIRPORT BENCHMARKING REPORT

The ATRS Global Airport Performance Benchmarking Report : 3 volumes, over 600 pages of l bl d t d l ivaluable data and analysis.

C b h d b i i i Can be purchased by visiting www.atrsworld.org

Report sale finances our annual b h ki h jbenchmarking research project

© Air Transport Research Society (ATRS)47

ACKNOWLEDGEMENT OF APPRECIATION

Gold Corporate Members

Houston Airport System

•Vancouver Airport Authority •Korea Airports Corporation

Corporate Members

p y•Gatwick Airport Ltd•Copenhagen International Airport•Istanbul Sabiha Gockcen International

p p•Kazan international airport, Russia•German Aerospace Center•Airbus

Airport •Boeing

Thank You2014 ATRS World Conference

(Bordeaux France July 17‐20 2014)(Bordeaux, France, July 17‐20, 2014)

Key Findings of 2013 ATRS Global Airport Performance...

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