Key Findings of 2013 ATRS Global Airport Performance ... · RESIDUAL VFP: NORTH AMERICA (YVR=1.0), FY 2011 Objective Data Airport Characteristics Methodology Efficiency & Cost User

Key Findings of 2013 ATRS Global Airport Performance Benchmarking project

ww.atrsworld.org

© Air Transport Research Society (ATRS)

Prof. Tae Hoon OumDr. Yapyin ChooProf. Chunyan Yu

ATRS Global Airport Benchmarking Task Force Asia Pacific: P. Forsyth, Xiaowen Fu, Yeong‐Heok Lee,

Yuichiro Yoshida, Japhet Law, Shinya HanaokaEurope: Nicole Adler, Jaap de Wit, Hans‐Martin Niemeier, Eric PelsNorth America: Tae Oum, Bijan Vasigh, Jia Yan, Chunyan YuMiddle East: Paul Hooper

OUTLINE

Objective of the ATRS Benchmarking Study

Airports Included and ATRS Database

Some Characteristics of Sample Airports

Methodology

Key Results on Efficiency and Costs

User Charge Comparisons

Objective Data Airport Characteristics Methodology Efficiency & Cost User Charge

OBJECTIVE OF THE BENCHMARKING STUDY


To provide a comprehensive, unbiased comparison of airport performance focusing on 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 Database2013 ATRS Global Airport Performance Benchmarking Project

Airports Included in the 2012 Report

© Air Transport Research Society (ATRS)5

Canada (12)+US(65) 77 airports

Europe 77 airports17 airport groups

Asia Pacific 35 Asian airports16 Oceania airports9 airport groups

‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐Total 195 airports

26 airport groups

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 groups 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 Financial info obtained from Balance Sheets

Visit http://www.atrsworld.org/Database.html for more details and to purchase.


Data Sources: FY 2002-2011

Airport’s Financial Statements, Annual Reports and direct data requests;

US FAA, DOT statistics;Association of European Airlines (AEA) Statistics ICAO Digest of Statistics: annual and monthly traffic data annual financial data - not for all airports

ACI; IATA annual traffic statistics; capacity information; airport

charges general information surveys (Asia Pacific and Europe)

occasional and not complete IMF and World Bank – various price indices

including GDP deflators for service sectors and PPPUS Census Bureau, Statistics Canada – regionally

based Cost of Living Index© Air Transport Research Society (ATRS) 7

Airport Characteristics2013 ATRS Global Airport Performance Benchmarking Project

PASSENGERS TRAFFIC, FY2011 (IN ’000 PASSENGERS)


0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

100,000

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

Asia Pacific Europe North America

PASSENGER TRAFFIC (’000)-TOP 10 AIRPORTS:

FY 2007, 2009, 2011


0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

100,000

2007 2009 2011


AIRCRAFT MOVEMENTS, FY 2010 (’000 ATM)


0

100

200

300

400

500

600

700

800

900

1000

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


0

20

40

60

80

100

120

140

160

180

200

NRT

HND

BKK

HKG

SIN

TPE

ICN

HKT

PEK

GMP

OOL

SHA

CMB

CGK

KUL

CEI

MNL

MEL

HDY

SUB

CAN

KIX SZX

PER SYD

HAK

BOM DEL

PVG

BNE

CNX

XMN

NGO

MAA

MFM ADL

ZQN

PEN

CNS

AKL

PNH

DRW NTL

REP

CHC

DUD

WLG TSV

GUM

NAN

LHR

LGW

ALC TLV

STN

PMI

IST

CDG

AGP

ORY

AMS

BGY

FRA

MAD

DUB

SAW

FCO

MAN

BCN

MLA LIS

MXP

OPO

TXL

LTN LIN

GLA LPA

ARN

BHX

MUC

DUS

NAP

OSL

CPH

EDI

CIA

ZRH KEF

BRS

SZG

HAM VIE

BLQ

TRN LED

ATH

BUD

GVA

BRU

PRG

WAW

HEL

SOF

CGN

LYS

RIX

BEG CRL

NCE

HAJ

BTS

BSL

ZAG TLL

LJU

LUX JFK

MCO

SEA

PBI

LAX

BNA

SFO

SNA

RSW

MDW

TPA

SAN FLL

MIA ATL

MSY SJC

PHX

SMF

BWI

DFW

EWR

DEN

MSP

RNO

IAD

BOS

LAS

YYZ

ORD

IAH

CLT

AUS

MCI

DTW JAX

PHL

PDX

SLC

SAT

DCA

LGA

DAL

STL

PVD

PIT

HNL

RDU

BDL

YUL

TUS

ONT

HOU

MKE

YVR

OKC

CMH

ABQ

YYC

OAK

IND

BUR

YEG

ANC

RIC CLE

YHZ

CVG

ALB YYT

YOW

YQR

MEM YWG

SDF

YYJ

YQB



% NON‐AERO REVENUE, FY 2011

0%

10%

20%

30%

40%

50%

60%

70%

80%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


Methodology2013 ATRS Global Airport Performance Benchmarking Project

AIRPORT PRODUCTIVITY INDEX

Outputs

• Aircraft movement• Passenger• {Cargo tonnes}• Non‐aeronautical revenue output

Inputs

• Labour• Other non‐capital (soft‐cost) input

• [Runways, terminal size, # of gates]

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

METHODOLOGY: EFFICIENCY MEASUREMENT

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

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 to aggregate output (inputs)


GROSS VARIABLE FACTOR PRODUCTIVITY (VFP)NORTH AMERICA LARGE AIRPORTS

(YVR=1.0), FY 2011


0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

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

POTENTIAL REASONS FOR THE MEASURED PRODUCTIVITY (GROSS VFP) DIFFERENTIALS

Factors Beyond Managerial Control:

• Airport size (Scale of aggregate output)• Average aircraft size using the airport• Share of international traffic• Share of air cargo traffic• Extent of capacity shortage ‐ congestion delay• Connecting/transfer ratio

We compute residual (Net) Variable Factor Productivity (RVFP) after removing effects of these Factors

© Air Transport Research Society (ATRS) 19Objective Data Airport

Characteristics Methodology Efficiency & Cost User Charge

GROSS VARIABLE FACTOR PRODUCTIVITY VS RESIDUAL VFP: NORTH AMERICA

(YVR=1.0), FY 2011


0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

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 APPROACHES

We explored Alternative approaches: Data Envelopment Analysis (DEA) Econometric Cost Function Approach including Stochastic Frontier methods (SFA)

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

© Air Transport Research Society (ATRS) 22

0510152025303540455055

ATL

RDU

RNO

CLT

PBI

BNA

MSP JAX

LGA

SAT

TPA

SNA

MCO

MKE FLL

Rank

Residual VFP Ranking Residual DEA Ranking Residual SFA Ranking


RESIDUAL RANKING COMPARISON OF BOTTOM 15 AIRPORTS IN US


0510152025303540455055

BOS

CVG

CLE

SJC

ALB

PHL

DFW STL

ONT

LAX

ORD BWI

PIT

MSY

MIA

Rank



RESIDUAL RANKING COMPARISON OF MID‐RANKED 15 AIRPORTS IN US


0510152025303540455055

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

Rank



Key Results on Efficiency & Cost2013 ATRS Airport Benchmarking

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


CPH

ATH

ZRH

OSL

LIS

AMS

CDG

FCO

ARN

MXP

PMI

VIE

MAN

IST

LGW

STN

HEL

ORY

DUB

BCN

TXL

MAD

DUS

FRA

LHR

MUC

ANA

Schiph

olAD

RAD

PSw

edavia

Avinor

SEA

DAA

MAG

Berlin

AENA

Fraport

Finavia

BAA

TAV

PPL

0

0.2

0.4

0.6

0.8

1

1.2

AirportGroups

Copenhagen Kastrup, Athens, Zurich

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


GVA

BSL

NCE

CIA

LJU

BHX

BLQ

SAW

HAJ

KEF

TLV

EDI

LPA

LTN

TRN

TLL

ALC

NAP

BGY

MLA

GLA

HAM

RIX

AGP

SZG

BUD

ZAG

SOF

LIN

BTS

WAW

BEG

CGN

LED

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Geneva, Basel, Nice

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


GMP

ICN

GUM

HAK

HKG

SIN

CGK

PEK

HDY

CAN

CNX

PVG

PEN

XMN

HKT

BKK

SZX

NRT

KUL

CMB

NGO

KIX

KAC

AAI

APII

AOT

MAH

B

0

0.2

0.4

0.6

0.8

1

1.2

1.4

Residual VFP Mean

Airports AirportGroups

Gimpo, Incheon, Guam

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


SYD

AKL

TSV

DRW

MEL

OOL

CHC

DUD

BNE

PER

ZQN

ADL

WLG

NAN

NTL

APA

C

QAL

ADG

0

0.2

0.4

0.6

0.8

1

1.2

Residual VFP Mean

Airports Airport GroupsSydney, Auckland, Townsville

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


ATL

MSP

CLT

TPA

MCO

YVR

SFO

FLL

LGA

MDW

SEA

SLC

HNL

EWR

PHX

BOS

JFK

DTW

PHL

SAN

LAS

DCA

BWI

IAD

DFW

ORD

IAH

DEN

MIA

LAX

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

Atlanta, Minneapolis St. Paul, Charlotte

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


OKC

RIC

RDU

YYJ

YYC

BNA

YQR

PVD

BDL

PBI

TUS

RNO

YYT

JAX

MKE

YEG

SNA

ABQ

PDX

SJC

SAT

IND

MSY

RSW

DAL

YOW

SMF

YHZ

AUS

MCI

MEM

YWG

OAK

SDF

CMH

BUR

ANC

ALB

CVG

YUL

PIT

ONT

HOU

STL

CLE

YQB

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

Oklahoma City, Richmond, Raleigh‐Durham

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

• Asian Airports:• Gimpo, Incheon, Guam

• Oceania Airports:• Sydney, Auckland, Townsville

Asia Pacific:

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

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

Europe:



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

• 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

North America:

• Hartsfield‐Jackson Atlanta International Airport

Global (10th Global Excellence Award)



PAST AIRPORT EFFICIENCY EXCELLENCE TOP PERFORMERS, 2008 ‐ 2012

North America

Europe

Asia‐Pacific

2012

Hartsfield‐Jackson Atlanta International

Airport

Large Airport Category: Copenhagen KastrupInternational AirportSmall/Medium Airport

Category:Genève Aéroport

Asian Airport Excellence Award:

Seoul GimpoInternational AirportOceania Excellence

Award:Sydney Airport

2008


Airport

Copenhagen KastrupInternational Airport

Hong Kong International Airport

2009


Airport

Copenhagen KastrupInternational Airport


2010


Airport

Large Airport Category: Oslo International

AirportSmall/Medium Airport

Category:Geneva Cointrin

International Airport

Large Airport Category:Hong Kong International

AirportSmall/Medium Airport

Category:Seoul Gimpo

International Airport

2011


Airport

Large Airport Category: Oslo International

AirportCopenhagen KastrupInternational AirportSmall/Medium Airport

Category:Genève Aéroport

Asian Airport Excellence Award:


Oceania Excellence Award:

Sydney Airport


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


ATH

LIS

CPH

MAN

PMI

FCO

STN

MXP

BCN

AMS

MAD VIE

LGW

ARN

DUB

FRA

LHR

DUS

MUC

CDG

TXL

ZRH

ORY

HEL

OSL

ANA

PPL

TAV

MAG

ADR

Schiph

olFraport

SEA

DAA

Swed

avia

AENA BAA

ADP

Berlin

Finavia

Avinor

‐1

‐0.8

‐0.6

‐0.4

‐0.2

0

0.2

0.4

Airport GroupsAirports

Athens, Lisbon, ANA (Aeroportos de Portugal)

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


LJU

BSL

TLL

RIX

SOF

MLA

BTS

CIA

SAW

BHX

BEG

BUD

ZAG

LPA

WAW

ALC

LTN

EDI

HAJ

NCE

KEF

BGY

TRN

AGP

LED

GLA

NAP

HAM

TLV

LIN

SZG

BLQ

CGN

GVA

‐0.7

‐0.6

‐0.5

‐0.4

‐0.3

‐0.2

‐0.1

0

0.1

0.2

0.3

0.4

Ljubljana(Slovenia), Basel, Tallinn (Estonia)

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


HAK

GMP

CGK

CMB

XMN

HKG

HDY

ICN

CNX

PVG

PEK

PEN

SZX

HKT

BKK

KUL

CAN

GUM

SIN

NGO

KIX

NRT

AAI

APII

AOT

MAH

B

KAC

‐2

‐1.5

‐1

‐0.5

0

0.5

Cost Competitiveness Mean

AirportGroupsAirports

Haikou, Seoul Gimpo, Airport Authority of India

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


AKL

DUD

CHC

SYD

ZQN

MEL

WLG

DRW

BNE

PER

ADL

NTL

QAL

APAC

ADG

‐0.6

‐0.5

‐0.4

‐0.3

‐0.2

‐0.1

0

0.1

0.2

0.3

AirportGroupsAirport s

Queensland Airport Limited (QAL),Auckland, Dunedin (NZ)

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


ATL

CLT

MCO

MSP

FLL

SLC

PHX

YVR

LAS

DTW

SEA

IAH

DFW

BWI

HNL

MDW SAN

ORD

DEN

PHL

BOS

MIA

DCA

IAD

SFO

LAX

EWR

TPA

JFK

LGA

‐2

‐1.5

‐1

‐0.5

0

0.5

1

Atlanta, Charlotte, Orlando

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


OKC

RIC

RDU

BNA

TUS

ABQ

IND

RNO

PBI

YYC

JAX

YQR

SAT

DAL

MSY

YYJ

MKE

SDF

PVD

MEM

RSW

MCI

AUS

YEG

YYT

CMH

PDX

BDL

BUR

ALB

SNA

CVG

HOU

YWG

PIT

STL

SMF

CLE

YHZ

YUL

SJC

YOW

YQB

ONT

ANC

‐0.4

‐0.2

0

0.2

0.4

0.6

0.8

1

Oklahoma City, Richmond (Virginia), Raleigh‐Durham

User Charge Comparison2013 ATRS Airport Benchmarking

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


0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

8,000

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

NTL‐Ni ght

OOL SYD

NGO

DRW KIX

NRT

HND NAP BGY

DUS

ARN

STN‐off peak

BRU

LTN

MLA

STN‐peak

LGW‐off‐peak RIX

FRA

BLQ

LUX

MUC TRN

FCO

MXP LIN CIA

BSL (France Sector)

PRG LIS

OPO VIE

ZAG

GLA

HEL

HAM

GVA EDI

KEF

TXL

SOF‐offpeak

ALC

CPH

NCE

CGN

BSL (Sw

iss S

ector)

SAW

MAN

‐peak

IST

MAN

‐offpeak

SOF‐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

LGW‐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

*JFK

Off Peak STL

*JFK

Peak

*YQB

*EWR Off Peak

*EWR Peak

*LGA

Off Peak

*LGA

Peak

*YYZ

US$

Landing Charges for Boeing 767 Mean


0

1000

2000

3000

4000

5000

6000

7000

8000

9000

TPE

DUD

DEL

BOM

MAA HKG

KUL (LCCs)

SIN (LCC

s)

GUM

MNL

CMB

SIN

MFM CAN

HAK

PEK

PVG

SHA

SZX

XMN

GMP

SUB

CGK

KUL

ZQN

PEN

ICN

DXB

CEI

CNX

HDY

HKT

BKK

TSV

WLG NTL

CHC

REP

PNH

DRW

OOL

PER

MEL

ADL

NTL‐Night

CNS

SYD

HND

BNE‐Pe

ak

BNE

NGO

AKL

NRT‐1N

NRT‐1S

NRT‐2

KIX

ASIA PACIFIC: COMBINED LANDING AND PASSENGER CHARGES FOR BOEING 737‐800, 2012

(IN US$)


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

0

2000

4000

6000

8000

10000

12000

RIX

CRL

LUX

NAP

BGY

MAN

‐offp

eak

HEL

CIA

BLQ

ARN

KEF

TLL

CGN

GVA

ZAG

FCO (LCC

s)OSL

CPH(LCCs)

ALC

BSL (France

Sector)

MAN

‐peak

AGP

LPA

PMI

STN‐off p

eak

FCO

BCN

MXP TRN

NCE

STN‐pe

akGL

ALTN

LIN

HAM

CPH

EDI

BUD (LCC

s)MAD HAJ

MLA

BSL (Sw

iss Sector)

LYS

DUS

TXL

BEG (LCC

s)SO

F‐offpeak

SAW

SOF‐pe

akOPO

TLV(LCCs)

LGW‐off‐pe

akBH

XIST

LIS

AMS

VIE

LED

MUC

WAW DUB

BUD

BRU

SZG

BEG

BTS

LJU

ATH

FRA

ZRH

PRG

BRS

ORY

CDG

TLV

LGW‐peak

LHR

EUROPE: COMBINED LANDING AND PASSENGER CHARGES FOR BOEING 737‐800, 2012

(IN US$)


Lowest charges: Riga (Latvia), Brussel South CharleroiHighest charges: London Heathrow, London Gatwick‐ Peak

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


0

5

10

15

20

25

30

35

40

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

US$

CPE US Mean Canada Mean

US Airports Canadian Airports

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

Canada:Lowest CPE: Victoria, ReginaHighest CPE: Toronto, Montreal

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


0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

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

US$

Combined Landing and Passenger Charges for Boeing 767 Mean

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

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


0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

18,000

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

US$

Combined Landing and Passenger Charges for Boeing 767 Mean

Lowest charges: Riga (Latvia), LuxembourgHighest charges: London Heathrow, Ben Gurion (Tal Aviv)

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


0

5

10

15

20

25

30

35

40

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

US$

CPE US Mean Canada Mean

US Airports Canadian Airports

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

Canada:Lowest CPE: Victoria, ReginaHighest CPE: Toronto, Montreal

ATRS AIRPORT BENCHMARKING REPORT

The ATRS Global Airport Performance Benchmarking Report : 3 volumes, over 600 pages of valuable data and analysis.

Can be purchased by visiting www.atrsworld.org

Report sale finances our annual benchmarking research project

© Air Transport Research Society (ATRS)49

Thank You2014 ATRS World Conference

(Bordeaux, France, end of June, 2014)

Documents

Key Findings of 2013 ATRS Global Airport Performance ... · RESIDUAL VFP: NORTH AMERICA (YVR=1.0), FY 2011 Objective Data Airport Characteristics Methodology Efficiency & Cost User