Page 195 - Planning and Design of Airports
P. 195

162    Airp o r t  Pl anning


                 that one technique is better than another, then a simple average might
                 be used to develop the preferred forecast. If this is done in these
                 examples, then the preferred forecast for the year 2010 is about
                 2,000,000 annual enplaned passengers and in the year 2015 is 2,600,000
                 annual enplaned passengers.
                    The Federal Aviation Administration utilizes econometric models
                 to determine national forecasts of U.S. aviation demand. The FAA
                 Aerospace Forecast [8] provides a 12-year outlook and view of the
                 immediate future for aviation. It is updated in March each year and
                 includes aggregate level forecasts of the following:
                     •  Passenger enplanements, revenue passenger miles, fleet, and
                        hours flown for large carriers and regional commuters
                     •  Cargo revenue ton miles and cargo fleet for large air carriers
                     •  Fleet, hours, and pilots for general aviation
                     •  Activity forecasts for FAA and contract towers by major user
                        category

                    The FAA Long Range Aerospace Forecasts [9] is a long range fore-
                 cast that extends the 12-year forecast to a longer time horizon, typi-
                 cally for a period of 25 years. This forecast contains projections of
                 aircraft, fleet and hours, air carrier and regional/commuter passen-
                 ger enplanements, air cargo freight revenue ton-miles, pilots, and
                 FAA workload measures.
                    The success in applying mathematical modeling techniques to
                 ascertain the level of future activity depends to a large extent on the
                 certainty associated with the independent variables and the relative
                 influence of these variables on the dependent variable. Simple and
                 multiple regression analysis methods are often applied to a great
                 variety of forecasting problems to determine the relationships
                 between transport related variables and such explanatory factors as
                 economic and population growth, market factors, travel impedance,
                 and competitive forces. Table 5-2 lists many of the variables required
                 for various purposes in aviation planning studies.


            Forecasting Requirements and Applications
                 The specific forecasting needs depend on the nature and scope of the
                 study being undertaken. The requirements for a state aviation system
                 plan are very different than those required for an airport master plan.
                 Facility planning requires projections of the parameters which deter-
                 mine physical design whereas financial planning requires projections
                 of the cost elements and revenue sources associated with physical
                 development. This section outlines the general forecasting require-
                 ments for various types of airport studies and discusses the more
                 common methodologies used to arrive at these requirements.
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