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Forecasting the demand potential for STOL air transportation

Shing-Leung Fan, Robert Horonjeff, A K Kanafani, A Mogharabi

Abstract

A process for predicting the potential demand for STOL aircraft was investigated to provide a conceptual framework, and an analytical methodology for estimating the STOL air transportation market. It was found that: (1) schedule frequency has the strongest effect on the traveler's choice among available routes, (2) work related business constitutes approximately 50% of total travel volume, and (3) air travel demand follows economic trends.

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Key concepts: Air travel, Schedule, Work (physics), Aviation, Demand forecasting, Operations research, Transport engineering, Economics