January 2018
Intermediate to advanced
166 pages
5h 27m
English
According to previous chapters’ discussion, air travel demand forecasting is a vital but tough task. On one hand, traditional statistical models that only rely on historical data are insufficient for achieving a satisfactory forecasting performance. On the other hand, expert knowledge plays an increasingly important role in the demand forecasting, especially for a medium-term and long-term future. Hence, a forecasting approach combining traditional mathematical models with expert knowledge for various forecasting time horizons is urgently needed.
In this chapter, we will introduce a system analysis methodology named TEI@I methodology, as our theoretical basis in this book to guide our air travel demand ...