Article ID Journal Published Year Pages File Type
1023673 Transportation Research Part E: Logistics and Transportation Review 2011 14 Pages PDF
Abstract
This paper develops an air passenger model that deals with city-pair demand generation and demand assignment in a single framework. Using publicly available and regularly collected panel data, the model captures both time series and cross-sectional variation of air travel demand. The empirical analysis finds that pattern of correlations among alternatives can be described by a three-level nested logit model. Fare, frequency, flight time, direct routing, on-time performance, income, and market distance have significantly effects on air demand. Correcting for the problem of endogenous air fares using instrumental variables yields more plausible estimates of price sensitivity and value of time.
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Social Sciences and Humanities Business, Management and Accounting Business and International Management
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