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FORECASTS OF AVIATION DEMAND CHAPTER 2 <br />Table 2-4: Enplanement Forecast – Socioeconomic <br />YearEnplanementsPopulationPer Capita <br />Historic <br />1997 383,890 597,721 0.6423 <br />1998 370,850 601,954 0.6161 <br />1999 355,992 603,858 0.5895 <br />2000 376,522 605,090 0.6223 <br />2001 364,049 606,426 0.6003 <br />2002 312,735 612,143 0.5109 <br />2003 301,339 617,663 0.4879 <br />2004 347,672 620,258 0.5605 <br />2005 360,049 626,936 0.5743 <br />2006 360,258 634,421 0.5679 <br />Projection <br />2011 383,483 664,400 0.5772 <br />2016 401,673 695,914 0.5772 <br />2026 440,713 763,553 0.5772 <br />CAGR 1997-2006 -0.70% <br />CAGR 2006-2026 1.01% <br />Sources: Woods & Poole, Mead & Hunt <br />2.5 Enplanement Forecast – Method Comparison and Preference <br />Table 2-5 Graph 2-1 <br />and present a comparison of the passenger enplanement forecasts using the <br />various methods. The market share method projects an increase of 2.21% CAGR. The socioeconomic <br />method projects the least increase of 1.01% CAGR. The TAF increase of 1.81% CAGR is between the <br />two. Table 2-5 also shows the difference in the two new forecasts compared with the TAF. As shown, the <br />Market Share forecast exceeds the TAF by 7% in the first five years, by 5% in the first 10 years, and by <br />8% in the 20-year horizon. The Socioeconomic forecast is nearly the same as the TAF in the first five <br />years, 5% below the TAF in the first 10 years, and 14% below the TAF over the 20-year period. <br />A linear trend method, which projects future enplanements based on historic enplanements, was <br />considered but did not produce a reliable trend to project and therefore was not used. The reason for the <br />unreliability of forecasts using this method is that the recent history has been volatile in the airline/airport <br />businesses, largely due to the terrorist attacks on September 11, 2001. Following those attacks, all <br />airports were closed for a brief period and it took many years to restore public confidence in the aviation <br />system. Many airports, including Eugene, were affected by these events in terms of reduced traffic. <br />These methods can be refined, and other methods exist. However, the methods which were used <br />produce forecasts which are sound and attainable, and are reliable and sufficient from which to select a <br />preferred method. <br />2-5 <br />Eugene Airport Master Plan Update <br />(February 2010) <br /> <br />