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For ecasting for Airport Planning    161


                   or may not be too high depending on the level of annual operations forecast in
                   the future and the sensitivity of various components of the airport system to
                   such variations.
                     Using a trend projection, it is forecast that the area population in the year
                   2010, as shown on Fig. 5-6, is expected to be 363,000. The forecast of the annual
                   enplanements at the airport in the year 2010 can be found by substitution into
                   the regression equation yielding 1,985,300 annual enplanements. Similarly,
                   if the forecast of the area population in the year 2015 is expected to be 410,000,
                   then the forecast of the annual enplanements at the airport in the year 2015 is
                   found to be 2,636,900.
                     Given the range in the standard error of the estimate, it could be expected that
                   in the year 2010 there is a probability of 68 percent that the forecast could range
                   between 1,985,300 ± 55,500, or from 1,929,800 to 2,040,800 annual enplanements
                   about 68 percent of the time. Similarly, it could be expected that in the year
                   2015 the forecast could range between 2,636,900 ± 55,500, or from 2,581,900 to
                   2,692,400. It is likely that this range in the forecasts is acceptable since it represents
                   about a 2 to 3 percent error.

                    It is interesting to compare the results found by the three different
                 techniques used in Example Problems 5-1 through 5-3. The results
                 compare very well and it gives one some degree of confidence in the
                 results when the three forecasts compare well. This is called redun-
                 dancy in forecasting.
                    Based upon the results found in these example problems, a pre-
                 ferred forecast would be developed. If there is no reason to suspect


                     600
                                 Historical Data           Forecast
                    Study Area Population (Thousands)  400  410
                     500





                             363



                     300




                     200
                                 2000        2005        2010        2015
                                               Year

                 FIGURE 5-6  Trend line forecast of study area population for Example
                 Problem 5-3.
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