ABSTRACT
This chapter introduces a system analysis methodology named TEI@I methodology, as the theoretical basis to guide the air travel demand forecasting model constructions and selections. It also introduces the TEI@I methodology from a theoretical point of view. The chapter firstly constructs a general forecasting framework based on TEI@I methodology, and describes the main function modules in this forecasting framework. Based on the constructed forecasting framework, it then generates an air travel demand forecasting framework. The chapter presents common forecasting models and methods which can be chosen and incorporated in the TEI@I methodology. It discusses some main components of the TEI@I methodology: man-machine interface module, web-based text mining module, rule-based expert system module, Autoregressive Integrated Moving Average (ARIMA)-based econometrical linear forecasting module, Within the TEI@I methodology forecasting framework, the chapter proposes a novel nonlinear integrated air travel demand forecasting framework.
