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