SeaburyAPG
Analysis
Air New Zealand - Singapore Airlines
Strategic Alliance Analysis
December 2013

SeaburyAPG analysis 2|Page
1.0 Executive Summary
SeaburyAPG has been engaged by Air New Zealand to evaluate a strategic alliance scenario
between Air New Zealand and Singapore Airlines. SeaburyAPG was provided a schedule
scenario to analyze to determine the impact on the market of the proposed strategic alliance.
The proposed schedule for Air New Zealand and Singapore Airlines contains extensive
codeshare flights between the two airlines and results in an increase in capacity in the New
Zealand - Singapore market.
SeaburyAPG has previously undertaken hundreds of airline network planning and alliance
projects, and has developed proprietary tools to evaluate such scenarios. SeaburyAPG has
developed a standard methodology based on industry standard QSI logic to forecast the results
of the alliance scenario.
Analysis of the scenario forecasts that the additional capacity and strategic alliance
arrangement between the two airlines would result in demand for travel between New Zealand -
Singapore being stimulated by 18,596 passengers per year and the total number of passengers
travelling between the two countries on combined Singapore Airlines or Air New Zealand
services in the proposed schedule would increase by 90,049 passengers per year compared to
the base schedule operated by Singapore Airlines.
The mix of passenger traffic forecast under the scenario highlights the necessity of the strategic
alliance for Air New Zealand. 65% of Air New Zealand passengers are forecast to be
connecting passengers (almost all of these are forecast to connect onto Singapore Airlines
flights beyond Singapore). Furthermore, the extensive codeshare relationship creates 58 new
codeshare points throughout Asia, Europe and the Middle East which Air New Zealand does not
currently serve today, and more than half of Air New Zealand codeshare passengers (57%) are
forecast to connect to these points.
The conclusion from the analysis is that market stimulation of 18,596 passengers per year will
result from the strategic alliance, based on the schedule provided, and that the proposed Air
New Zealand flights from Auckland to Singapore are feasible under the strategic alliance.
However, without a strategic alliance in place Air New Zealand would not have access to the
connecting passengers required to make a new Auckland - Singapore service feasible and is
unlikely to operate flights in this market.

SeaburyAPG analysis 3|Page
2.0 Air New Zealand - Singapore Airlines strategic alliance scenario
Air New Zealand provided a potential schedule for an alliance with Singapore Airlines to
SeaburyAPG to be analyzed. The potential schedule includes Air New Zealand operating flights
from Auckland to Singapore and codeshare on Singapore Airlines flights beyond Singapore.
The schedule provided by Air New Zealand to be evaluated is as follows:
Existing schedule: New Zealand - Singapore
i. Auckland - Singapore
Singapore Airlines 7 flights per week with B773 aircraft (278 seats)
Singapore Airlines 5 flights per week with B772 aircraft (285 seats)
ii. Christchurch - Singapore
Singapore Airlines 7 flights per week with B772 aircraft (285 seats)
Proposed schedule to evaluate: New Zealand - Singapore
i. Auckland - Singapore
April - September
Singapore Airlines 7 flights per week with B773 aircraft (278 seats)
Air New Zealand 7 flights per week with B772 aircraft (312 seats)
October - March
Singapore Airlines 7 flights per week with A380 aircraft (471 seats)
Air New Zealand 7 flights per week with B772 aircraft (312 seats)
ii. Christchurch - Singapore
Singapore Airlines 7 flights per week with B772 aircraft (285 seats)
iii. Beyond Singapore
Air New Zealand codeshare on selected Singapore Airlines and Silk Air flights
from Singapore
The key components of the proposed schedule are as follows:
1. Air New Zealand launches daily flights in the Auckland - Singapore market
2. Singapore Airlines reduces frequency in the Auckland - Singapore market from 12 flights
per week to seven flights per week
3. Singapore Airlines changes the aircraft on its remaining seven Auckland - Singapore
flights on a seasonal basis from a 278 seat B773 to a 471 seat A380

SeaburyAPG analysis 4|Page
3.0 Methodology
SeaburyAPG has previously undertaken hundreds of network planning and partnership projects
for many airlines around the world. SeaburyAPG has a proven methodology using proprietary
network planning tools based on industry accepted QSI logic. SeaburyAPG tools are currently
used by over 50 airlines around the world. The two key components of the SeaburyAPG
analysis are the methodology used for the analysis and the data source for market demand.
3.1 QSI methodology
Quality of service index (QSI) is a methodology for forecasting the changes in demand and
passenger share resulting from changes in airline capacity. This methodology is widely used by
many of the world's leading airlines and is the industry standard methodology for demand
forecasting and capacity planning. SeaburyAPG has used this methodology for over 15 years
on hundreds of airline projects, which have involved both capacity planning and fleet planning
resulting in tens of billions of dollars of aircraft orders. Air New Zealand also uses this
methodology and QSI forecasting tools for capacity planning purposes.
In brief, QSI is a way of applying a quantitative method to the qualitative concept of service
quality. QSI attempts to forecast consumer behavior by quantifying the relative attractiveness
of different flight options. Itineraries between two points are assigned a value, indexed against
a nonstop narrow body aircraft. Values vary depending upon the size of aircraft (seat capacity)
and type of service, i.e. nonstop, one or two stops, online connection, interline connection or
codeshare. Relative values are assigned to the service in the market on an O&D basis allowing
passenger share to be assigned for each O&D and then aggregated to a segment level
providing a passenger forecast per flight.
That this methodology is used today by the world's largest airlines for day to day planning, as
well as multi-billion dollar decisions, highlights the robustness of the methodology and the
confidence placed in the methodology by airlines.
3.2 Market demand data source
SeaburyAPG has used IATA PaxIS market size and passenger fare data throughout this
analysis, to forecast the passenger and market share impact of the proposed schedule, and has
not received any passenger or fare data from either airline. The International Air Transport
Association (IATA), the industry body for airlines, produces PaxIS data from over 400 airlines
and 87 IATA Billing and Settlement Plan (BSP) offices to create a demand database with over
one million O&D's.
IATA PaxIS Plus data contains sufficient details from individual tickets to accurately develop
historic demand patterns. Details in the data include:
Agency, country and region of ticket issuance
Point of origin airport, true origin airport, connecting airport(s) and final destination
airport
Fare category: first, business, full economy, discounted economy and others
Average fare value: in USD or EUR
Month of ticket issuance and month of travel

SeaburyAPG analysis 5|Page
Two caveats with IATA PaxIS worth noting are that it does not contain point of sale data from
the USA, which would have negligible impact on New Zealand - Singapore traffic flows. The
impact of this, if any, would be to slightly understate any stimulation and passenger growth
resulting from the strategic alliance.
The second caveat is that the data does not include actual sales through the Amadeus GDS.
An algorithm is used to derive estimated market demand for this distribution channel. The
impact of using estimates instead of actual data is hard to determine, however IATA PaxIS Plus
data is widely used by airlines as the industry standard source of demand data for planning
purposes despite this caveat.
Despite these caveats, to ensure consistency of data between the alliance parties and other
airlines, we have used IATA PaxIS Plus data for the analysis in this report, rather than the
parties’ own data.
The data used for the analysis was 12 months to August 2013 and no adjustments for any
reason, i.e. future market growth, were made to the data.
3.3 Market Stimulation
SeaburyAPG has applied the standard QSI method of market stimulation which is based on a
market stimulation factor applied to the percent change in QSI values on an O&D basis. This is
based on the logic that market stimulation due to increased service, either in the form of
additional seats or added connectivity and codeshare offerings, is a function of many consumer
related factors. Most of these factors are rather intuitive and in the case of codeshare
arrangements include the following:
Ease of booking specific O&Ds as a result of added consumer access,
Display of new O&Ds created by the underlying overlap of the networks in global
distribution systems,
Increased awareness of the O&D due to joint selling and promotion,
Added marketing which generally accompanies new codeshares and alliances,
Lower fares as a result of increased competition on newly created itineraries.
As can be expected from the underlying reasons for market stimulation, the growth in the
market following the introduction of a new service or codeshare tends to occur in all O&Ds and
especially in secondary O&Ds that receive a disproportionate share of added exposure.
SeaburyAPG has developed market stimulation models across numerous regions in multiple
projects, some of which are given below:
SeaburyAPG developed a market size stimulation model for use by a major global
alliance for forecasting passenger traffic for future periods which takes into account the
impact of schedule/service level changes
SeaburyAPG developed market size stimulation models for one of the world’s largest
airlines to forecast industry O&D market sizes based on changes in future schedules
SeaburyAPG developed market size stimulation models for use by a major aircraft
manufacturer to determine market stimulation for fleet-planning studies.

SeaburyAPG analysis 6|Page
SeaburyAPG market stimulation models use the following mathematical formulation:
Percent change in Passengers = α * (Percent change in QSI)
Where α is the market stimulation factor
For the calibration of market stimulation models a regression analysis is carried out to determine
the effect of change in QSI (service) relative to the change in passengers within a region or
between regions. Two primary sources of data are used to do this:
1. O&D Passenger market size: IATA Pax-IS Plus market size data is used for the purpose
of determining the O&D based market sizes for all markets each region. This market size
data reflects the demand on a true origin-destination basis.
2. QSI/service levels: QSI information is derived from published airline schedules and
SeaburyAPG models to build itinerary information. Calibrated QSI factors determine the
attractiveness of different service offerings e.g. a non-stop receives a much higher
preference than a one-stop service.
SeaburyAPG has used this methodology in numerous projects across multiple regions and
found a range of market stimulation factors from 0.30 to 0.47. An example of this is the New
Zealand - Australia market which has a market stimulation factor of 0.44 with an R-squared
"goodness of fit" statistic of 86% when applied to individual O&Ds. The calibrated stimulation
factor had a 95% confidence range from 0.435 to 0.451. Appendix 3 contains details of this
regression analysis.
Due to the high proportion of connecting passengers on the flights to be analyzed
(approximately 73%) and the significant proportion connecting beyond Asia (approximately 48%
of forecast codeshare passengers) a value for one specific market may not be appropriate.
Therefore a very conservative approach was applied to stimulation, and a value at the lowest
end of the market stimulation range was used. For the purpose of this analysis a market
stimulation value of 0.30 was used.
SeaburyAPG regularly calibrates Air New Zealand's forecasting model (SAPGNet) which is
used for planning purposes and is licensed from SeaburyAPG. The calibration for this model
uses market size data which is a combination of Air New Zealand's own onboard passenger
data at an O&D level and industry market size data for markets not served by Air New Zealand.
SeaburyAPG's extensive knowledge of the market was applied in the determination of the
market stimulation factor.
3.4 SAPG network models
SeaburyAPG has developed proprietary network models for the evaluation of airline network
and partnership scenarios. These models have been proven to be robust and accurate over
hundreds of network projects with numerous airlines in all regions of the world. SeaburyAPG
models are based on QSI methodology and have been enhanced continuously over 15 years.
A selection of clients using SeaburyAPG tools for planning purposes include some of the world's
largest airlines, alliances and OEM's: International Airline Group (British Airways, Iberia,
Vueling), Southwest Airlines, Star Alliance GmbH and Airbus plus more than 20 other clients.

SeaburyAPG analysis 7|Page
4.0 Results of the analysis
SeaburyAPG has used proprietary network tools and considerable airline experience in the
evaluation of the proposed schedule provided by Air New Zealand. The impact on the market
and the partnership between Air New Zealand and Singapore Airlines is driven by three key
aspects of the schedule:
1. The entry of Air New Zealand into the Auckland - Singapore market
2. The increase in total nonstop capacity in the New Zealand - Singapore market
3. Codeshare by both airlines on each other's flights, notably Air New Zealand
codeshare on Singapore Airlines and Silk Air flights beyond Singapore
4.1 The current market situation
Market size and capacity
The New Zealand - Singapore market size can be defined in two ways:
1. The number of passengers on nonstop flights between New Zealand and Singapore,
including both local passengers and those connecting beyond New Zealand or
Singapore (to destinations such as the United Kingdom)
2. Passengers that start or end their journey in New Zealand or Singapore only, regardless
of how they travel, i.e. nonstop or via connecting point such as Australia
1. Passengers travelling on non flights between New Zealand and Singapore
The annual market size, defined as passengers flying nonstop between New Zealand and
Singapore, is 533,897 per year based on IATA PaxIS data to August 2013. This includes all
passengers travelling nonstop between the two countries (both local and connecting).
The Auckland - Singapore market is currently served nonstop by two airlines: Singapore Airlines
and Jetstar with a passenger share of 79.9% and 20.1% respectively on the route (based on
IATA PaxIS data). The Christchurch - Singapore market is served nonstop by Singapore
Airlines only.
The current schedule (in November 2013) for these two airlines is:
i. Auckland - Singapore
Singapore Airlines 7 flights per week with B773 aircraft (278 seats)
Singapore Airlines 5 flights per week with B772 aircraft (285 seats)
Jetstar Airlines 3 flights per week with A330 aircraft (303 seats)
ii. Christchurch - Singapore
Singapore Airlines 7 flights per week with B772 aircraft (285 seats)
Based on IATA PaxIS data the market size of 533,897 was made up of 191,674 local
passengers starting and ending their journey in New Zealand or Singapore. The remainder of

SeaburyAPG analysis 8|Page
this market, 342,223 passengers (64% of the market), connected beyond Singapore or New
Zealand.
For Singapore Airlines Auckland and Christchurch represent 'spokes' from its home 'hub' in
Singapore. Passengers can connect beyond Singapore on the airlines extensive network
throughout Asia, the Middle East and Europe, as well as on Star Alliance partner airlines.
This business model, which captures a large amount of connecting passengers, allows the
airline to expand faster and operate routes that would otherwise not be viable without
connecting passengers. For Singapore Airlines the amount of capacity in the New Zealand
market (19 flights per week), as well as operating the only nonstop long haul flight out of
Christchurch, is dependent upon the volume of connecting passengers beyond Singapore.
Jetstar also has a 'hub' in Singapore and leverages the Jetstar network in Singapore, as well as
Qantas flights to Europe (Jetstar also formerly used British Airways flights from Singapore to
London for connecting passengers). Qantas also codeshares on the Jetstar flight.
2. Passengers starting or ending their journey in New Zealand and Singapore
The 'true O&D' market size, defined as passengers starting or ending their journey in New
Zealand and Singapore (whether on nonstop or connecting flights) is significantly lower than the
previous market definition (of all passengers between New Zealand and Singapore). The true
O&D market also includes passengers that connect via a third country, such as Australia.
IATA PaxIS data reports this market size as 234,731 passengers in the 12 months to August
2013 (in contrast to the 533,897 that travel on nonstop flights between the two countries).
Singapore Airlines and Jetstar have an 83% share of this market (194,176 passengers) as they
NZL – Singapore non stop flights
Local traffic: 191,674
Connecting beyond traffic: 342,223
TOTAL 533,897

SeaburyAPG analysis 9|Page
have a combined total of 191,674 nonstop and 2,502 connecting passengers. The remaining
17% market share was spread amongst multiple other airlines:
Qantas via Sydney, Melbourne and Brisbane
Emirates via Brisbane
Etihad via Brisbane
Malaysian Airlines via Kuala Lumpur
4.2 The Air New Zealand proposed schedule
The schedule provided by Air New Zealand contains the following changes to the Air New
Zealand and Singapore Airlines route networks:
a. Air New Zealand launches service in the Auckland - Singapore market with an annual
capacity of 227,136 seats
b. The combined capacity of Singapore Airlines and Air New Zealand is increased by
149,188 seats per year (27%)
i. Air New Zealand adds 227,136 seats per year
ii. Singapore Airlines capacity is reduced by 77,948 seats per year
c. Codeshare on Singapore Airlines and Silk Air would provide Air New Zealand with
access beyond Singapore to new destinations primarily in South East Asia, India, South
Africa and Europe not currently in the Air New Zealand network. Using a maximum
connection time of six hours (which is a standard industry definition for this type of
analysis) Air New Zealand would have access to 58 new codeshare destinations, of
which, 41 would be served in both directions (applying the six hour rule).
NZL – Singapore origin / destination
Non stop airlines
Singapore Airlines
Jetstar
Non stop traffic 191,674
Connecting airlines
Singapore Airlines
Jetstar
Qantas
Emirates
Etihad
Other
Connecting beyond traffic: 43,057
TOTAL 234,731

SeaburyAPG analysis 10|Page
New destinations connected to the Air New Zealand network via Singapore Airlines and Silk Air:
4.3 Schedule impact
The combination of two drivers, additional Air New Zealand capacity and an extensive
codeshare partnership with Singapore Airlines, is forecast to result in an increase in the size of
the market travelling between New Zealand and Singapore.
For Air New Zealand and Singapore Airlines, the combined net increase in seats of 149,188 per
year is forecast to result in an additional 90,049 passengers per year travelling on either Air
New Zealand or Singapore Airlines flights between New Zealand and Singapore.
Impact of the proposed schedule on Air New Zealand and Singapore Airlines
City Country City Country City Country
1 Ahmedabad India 21 Da Nang Vietnam 41 Manila* Philippines
2 Amsterdam* Netherlands 22 Delhi India 42 Milan* Italy
3 Athens Greece 23 Dili* East Timor 43 Penang* Malaysia
4 Barcelona Spain 24 Moscow Russia 44 Pekanbaru Indonesia
5 Bandung* Indonesia 25 Denpasar Bali* Indonesia 45 Palembang* Indonesia
6 Kota Kinabalu Malaysia 26 Davao* Phiippines 46 Phnom Penh* Cambodia
7 Bangalore* India 27 Dubai United Arab Emirates 47 Siem Reap* Cambodia
8 Mumbai* India 28 Rome Italy 48 Yangon* Myanmar
9 Balikpapan* Indonesia 29 Hanoi* Vietnam 49 Ho Chi Minh* Vietnam
10 Bandar Seri Begawan* Brunei 30 Tokyo Haneda* Japan 50 Solo City* Indonesia
11 Kolkata* India 31 Hyderabad* India 51 Semarang* Indonesia
12 Paris* France 32 Yogyakarta Indonesia 52 Surabaya Indonesia
13 Cebu* Phiippines 33 Kuching Malaysia 53 Taipei* Taiwan
14 Jakarta* Indonesia 34 Medan* Indonesia 54 Thiruvananthapuram* India
15 Coimbatore* india 35 Kathmandu* Nepal 55 Ujung Pandang Indonesia
16 Colombo* Sri Lanka 36 Kuala Lumpur* Malaysia 56 Koh Samui Thailand
17 Chiang Mai* Thailand 37 Langkawi Malaysia 57 Vishakhapatnam* India
18 Kochi* India 38 Chennai* India 58 Zurich Switzerland
19 Copenhagen* Denmark 39 Manado* Indonesia
20 Dhaka* Bangladesh 40 Male* Maldives *Denotes return service under the partnership
77,948
149,188
227,136
NetseatimpactReductioninSQseatsAdditionalAirNZseats PassengerImpact
90,049
AnnualSeats
Annual
Passengers

SeaburyAPG analysis 11|Page
Impact on Air New Zealand and Singapore Airlines
Using the QSI forecast methodology and PaxIS data we can forecast the impact on load factors
of both airlines (note these are Seabury forecasts based on IATA PaxIS data and are not based
on either airlines internal data). The forecast for the newly launched Air New Zealand flight from
Auckland to Singapore is an annual average load factor of 75%. A typical industry breakeven
load factor percentage on long haul flights is low to mid 70's which indicates this flight should be
two to three percentage points above breakeven and therefore a sustainable service.
The forecast average load factor for Singapore Airlines on the Auckland - Singapore route is
79% which also implies a sustainable operation.
On the Christchurch - Singapore route the average load factor is forecast to increase by 0.7% to
80% due to the partnership with Air New Zealand.
Mix of passengers
The increase of 90,049 passengers generated by the Air New Zealand and Singapore Airlines
partnership and capacity increase are forecast to be heavily skewed towards connecting, versus
local, passengers:
27% are forecast to be 'local' passengers, starting or ending their journey in New
Zealand or Singapore
73% are forecast to connect either beyond Singapore or New Zealand
The impact of the codeshare between the two airlines, and the new destinations to which Air
New Zealand will have a codeshare connection, drives a significant amount of the connecting
traffic forecast. 57% of the forecast passengers travelling on Air New Zealand codeshare
beyond Singapore are forecast to travel to the 58 new destinations to which Air New Zealand
currently has no codeshare or online presence. These connecting codeshare passengers are
forecast to travel beyond Singapore to the following regions:
Mix of destinations beyond Singapore for Air New Zealand codeshare passengers
24%
23%
24%
ASEAN
28%
India
1%
MiddleEast
UnitedKi ngdom
EuropeexcludingUK

SeaburyAPG analysis 12|Page
Market stimulation
The net increase in seats between Air New Zealand and Singapore Airlines is 149,188 per year
on the Auckland - Singapore route. The forecast increase in passengers travelling on the
Auckland and Christchurch to Singapore routes is forecast to be 90,049 per year. These
passengers are made up of:
Demand stimulation resulting from the increase in capacity between Air New Zealand
and Singapore Airlines and new codeshare flights beyond Singapore of 18,596
Existing market demand that switches from an alternative routing and now travels on Air
New Zealand or Singapore Airlines of 71,453
Impact of the proposed schedule on Air New Zealand and Singapore Airlines
The demand stimulation forecast was calculated using a market stimulation factor at the lowest
end of the 0.47 - 0.30 stimulation range of 0.30 and applied to the QSI increase in the new
schedule.
The result of this forecast is that the 149,188 additional seats in the market, and new the
codeshare partnership, are forecast to result in demand stimulation (market growth) between
New Zealand and Singapore of 18,596 per year travelling on Air New Zealand or Singapore
Airlines flights and either terminating in Singapore or New Zealand, or connecting to beyond
destinations.
Based on SeaburyAPG's knowledge of, and experience forecasting, the New Zealand market
this stimulation forecast is line with the magnitude of stimulation that could be expected from the
schedule provided.
77,948
149,188
71,453
227,136
PassengerImpact
18,596
NetseatimpactAdditionalAirNZseats ReductioninSQseats
90,049
Demandstimulation
Otherpassengerimpact
AnnualSeats
Annual
Passengers

SeaburyAPG analysis 13|Page
4.4 Other observations
Based on industry knowledge and previous project experience SeaburyAPG has identified other
potential implications from the Air New Zealand - Singapore Airlines alliance:
i. Industry consolidation and alliances are an industry wide trend. Air New
Zealand's participation in alliances allows the airline to compete with much larger
airlines and reach markets it could not otherwise serve
ii. The scenario analysed proposes a significant increase in capacity in the New
Zealand – Singapore market that is unlikely to occur without this alliance
iii. Air New Zealand has previously terminated services to Singapore from both
Auckland and Christchurch due to profitability. It is unlikely Air New Zealand
could re-enter this market and sustain services without an alliance with
Singapore
iv. In this scenario Singapore Airlines operates the Auckland - Singapore route in
the peak season with an A380 aircraft, which is unlikely to occur without an
alliance due to the risk in filling the additional capacity
v. The alliance would connect Air New Zealand to numerous new destinations
throughout Asia that are currently not part of the Air New Zealand network
i. Making travel between these New Zealand and the new destinations
easier
ii. Providing an incentive for Air New Zealand sales and marketing activity in
these markets

SeaburyAPG analysis 14|Page
5.0 Conclusion
Air New Zealand has provided SeaburyAPG with a schedule scenario to analyze and determine
the impact on the market of a proposed strategic alliance with Singapore Airlines. The schedule
includes an alliance relationship between Air New Zealand and Singapore Airlines involving
extensive codeshare and a combined increase in capacity in the New Zealand - Singapore
market of 149,188 seats per year.
The proposed schedule would give Air New Zealand access, via codeshare on Singapore
Airlines and Silk Air, to 58 destinations in which it has no market presence today, and
importantly, 41 of these destinations would offer service both ways under the proposed strategic
alliance.
The results of the analysis forecast that the passenger demand travelling between New Zealand
and Singapore, including onward connections, would be stimulated by 18,596 passengers per
year and that total growth in this market would be 90,049 passengers per year.
Air New Zealand's flights are forecast to achieve a load factor of 75%, two to three percentage
points above a typical industry breakeven load factor on such a flight. Air New Zealand would
be reliant on passengers connecting beyond Singapore, with the analysis forecasting that 65%
of passengers on Air New Zealand's Auckland - Singapore flights would be passengers
connecting beyond Singapore. Air New Zealand's codeshare with Singapore Airlines would
result in 57% of Air New Zealand's codeshare passengers travelling to the 58 new codeshare
destinations and would be passengers Air New Zealand would otherwise not serve with the
current network.
SeaburyAPG notes that Air New Zealand has previously operated both Auckland - Singapore
and Christchurch - Singapore services, and terminated these services publicly stating they were
unprofitable and unsustainable. The results of the analysis forecast that Air New Zealand would
therefore be reliant on a strong partnership to sustain service in the market, i.e. without a
partnership with Singapore, Air New Zealand could not serve this market.

SeaburyAPG analysis 15|Page
Appendix 1
SeaburyAPG Qualifications and Relevant Expertise
SAPG, formed in 1997, is a highly specialized management consulting firm focusing exclusively
on aviation planning and management. SAPG has worked on hundreds of projects providing
network and fleet planning consultancy to many of the world’s largest airlines, airports and
aircraft manufacturers. SAPG has internally developed all the tools and technology required to
optimize networks and fleets. SAPG proprietary models include SAPGNet, a network
forecasting tool, SAPGAlliance, a global alliance and merger/ acquisition evaluation tool and
SAPGFam, a fleet optimization model.
The APGNet model is a QSI-based forecasting tool generally used to estimate the impact of
capacity changes and/or codeshare alliances on traffic levels and carrier market shares. The
APGNet model is used by many of the World’s leading airlines and has recently been used on
consulting projects with airlines such as United Airlines, Cathay Pacific, US Airways and Thai
Airways.
In brief, the APGNet methodology uses airline schedules and market size data as inputs, and
then applies QSI values to each airline based on the level of service in the market. From this
‘base’ passenger and revenue shares can be derived. Changes in QSI resulting from changes
in aircraft size, number of flights, new routes or new codeshares are then applied to forecast
new passenger and revenue market share and the impact on the total market size.
SAPG clients include many of the world’s largest airlines, global airline alliances, aircraft
manufacturers and investment companies. A selection of SAPG projects in 2010 include:
Developing long term network plans for large airlines in the Middle East and the USA,
Working with a major American airline and a large Asian airline to develop respective
fleet plans and place aircraft orders with a list price of US$22 billion,
Financial due diligence of a large Asian airline for an investment group evaluating a
potential equity stake,
Evaluation of potential new members for a global airline alliance.
In addition, SAPG’s network planning tools and data are used on an ongoing basis by over 50
airline clients around the World.
This particular analysis has been conducted by the Managing Director and co-head of SAPG,
Dr. Stephen Still, and Principal, Maxwell Reilly. Dr. Still has more than 30 years experience in
consulting and management of transportation systems, including 25 years hands on experience
in aviation planning. Both Dr. Still and Mr. Reilly have extensive knowledge of the trans-
Tasman market where they have previously worked on projects with Qantas, Ansett Australia
and Air New Zealand. Mr. Reilly was also previously employed by Ansett Australia and Air New
Zealand, amongst other airlines.

SeaburyAPG analysis 16|Page
Appendix 2
Biography of Dr Stephen Still
Dr. Stephen Still is Managing Director and co-head of Seabury Airline Planning Group, LLC,
which he co-founded in 1997. He has more than 30 years experience in consulting and
management of transportation systems, including 25 years of hands-on experience in aviation
planning. Dr. Still has managed aviation projects worldwide including assignments for airlines,
equipment manufacturers, and financial advisory firms. Recent projects include wide body fleet
analysis leading to a multi-billion dollar fleet order, optimization of network structure for a major
U.S. carrier, development of new planning methods for a large Asian airline, and an assessment
and outlook for the U.S. Dr. Still specializes in a variety of corporate planning functions including
route and fleet strategy, financial analysis, and revenue management. In addition, Dr. Still led
the development of Seabury APG’s analytical tool set including SAPGNet, SAPGFam, and
SAPGAlliance models that are used extensively by airlines, global alliances and aircraft
manufacturers to optimize networks, alliances, and fleets.
Prior to SAPG, Dr. Still was Director, Corporate Planning, with US Airways, Inc. responsible for
development of strategic initiatives for routes, fleets and alliances. He was responsible for
formulating and coordinating the airline's fleet plans, including analysis leading up to a multi-
billion dollar fleet purchase.
Prior to US Airways, Dr. Still was Manager of Domestic Planning at United Airlines, Inc. where
he was responsible for developing United's five-year route and fleet plan. Other positions at
United included Manager of Airline Profitability Analysis where Dr. Still was responsible for
financial and economic analyses of complex fleet and route decisions including fleet acquisition
and route purchases. Dr. Still started at United in the Operations Research group where he
designed and developed advanced network optimization tools.
Dr. Still is a frequent presenter at airline and transportation conferences, and teaches
professional courses for the International Air Transport Association (IATA), and holds a Ph.D. in
Civil Engineering and Operations Research from Princeton University with a specialty in
Transportation Systems and Economics. He earned a B.S. in Engineering from the State
University of New York at Buffalo, magna cum laude, with concentration in transportation
planning. He has also completed courses in advanced demand modeling at the Massachusetts
Institute of Technology.

SeaburyAPG analysis 17|Page
Biography of David Bental
David Bental is Managing Director and co-head of Seabury APG, which he co-founded in 1997.
Mr. Bental has extensive experience in strategic planning and financial analysis for the aviation
industry. He has managed projects for large carriers in Asia, Europe and the United States, and
specializes in formulating airlines' strategic direction, focusing the resources of their route
planning departments, and developing and utilizing modern planning tools. In addition to route
analysis, Mr. Bental has participated in deregulation and alliance work for major carriers
worldwide.
Before joining Seabury APG, Mr. Bental was Director of Route Strategy for US Airways, Inc.
Some of Mr. Bental's major projects included rationalizing the carrier's route structure leading to
US Airways' strong profitability in the late 90's, overhauling the airline's profitability system to
include beyond profitability, increasing asset utilization, improving revenue generation, and
creating advanced planning tools. In addition, Mr. Bental was responsible for supporting merger
and alliance discussions between US Airways and other major domestic and international
carriers.
Prior to US Airways, Mr. Bental served in the Planning Department of United Airlines, Inc.,
where he analyzed new market opportunities and alternative network structures. Mr. Bental's
many projects included assessing the profitability of United's expansion into Latin America,
performing key analysis for development of United's five-year strategic plan and analyzing
revenue synergies derived from international alliances. Mr. Bental also worked for American
Airlines, Inc. in both financial and planning capacities. While in the Finance Department, he
worked extensively with American's unit revenue and cost measures. On the planning side, Mr.
Bental was responsible for both the profit plan and five-year plan of American's largest hub.
Mr. Bental received a B.A. in Economics, summa cum laude, from the University of California,
Los Angeles, and holds an M.B.A. in Finance and Statistics from the University of Chicago.

SeaburyAPG analysis 18|Page
Biography of Maxwell Reilly
Maxwell Reilly is a Senior Vice President with Seabury Airline Planning Group with responsibility
for advising airline and airport clients on strategic and network issues. Mr. Reilly has worked
with major European, Asian, Middle Eastern and African carriers to develop long term network
strategies and optimize their route networks. Most recently Mr. Reilly managed a long term
network strategy project for a large Middle Eastern carrier. Previous to this Mr. Reilly was
seconded for an extended period to South African Airways to manage their Network Planning
and Network Strategy departments and provide analysis of potential codeshare and joint
venture partners.
Prior to SAPG Mr. Reilly worked as Regional Director Network Planning at Star Alliance GmbH
based in Frankfurt, Germany. In that role, he was responsible for managing Network Planning
and Schedule Management committees, consisting of representatives from 18 Star Alliance
airlines. He was also seconded to Thai Airways for an extended period to lead a Star Alliance
project developing Thai Airways hub operation in Bangkok, Thailand. Mr. Reilly also undertook
route planning projects for several Star Alliance airlines and was responsible for analyzing the
value of potential new member airlines to the Alliance.
Prior to joining Star Alliance, Mr. Reilly held the position of Senior Consultant at Network
Economic Consulting Group based in Canberra, Australia. Mr. Reilly's projects at Network
Economic Consulting Group included seeking approval by the Australian Government for the
renewal of the Qantas and British Airways joint service agreement and preparation of an
application by Qantas and Air New Zealand for a proposed merger.
Prior to the Network Economic Consulting Group, Mr. Reilly was the Network Planning Manager
at Air New Zealand based in Auckland, New Zealand, responsible for the design and
implementation of the International schedule. Mr. Reilly also participated in Air New Zealand’s
proposed merger with Qantas, forming part of the dedicated Air New Zealand analytical and
negotiating team. Mr. Reilly has also held the position of Network Planning Manager at Air New
Zealand Ansett based in Melbourne, Australia.
Before joining Air New Zealand Mr. Reilly held positions in financial and analytical roles at
Diageo and ACNeilsen in the United Kingdom and DB Breweries in New Zealand.
Mr. Reilly is a frequent presenter at airline and transportation conferences and holds a degree in
Commerce from the University of Auckland and an MBA (with Distinction) from the University of
Oxford.

SeaburyAPG analysis
19|Page
Appendix 3
Market Stimulation Model Calibration
Stimulation model calibrations for the New Zealand - Australia and Asia - Europe markets are
detailed below.
Example: New Zealand - Australia market
The calibrated regression model had an adjusted R-sq of 0.86 and the model as a whole and its
individual variables satisfy the criteria of statistical significance.
The market stimulation factor is 0.44 (with a lower 95% confidence level of 0.435 and upper
95% confidence level of 0.451).
The full output of the New Zealand - Australia regression model is given below: