A passenger demand model for air transportation in a hub-and-spoke network |
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Authors: | Chieh-Yu Hsiao Mark Hansen |
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Affiliation: | aDepartment of Civil and Environmental Engineering, Institute of Transportation Studies, National Center of Excellence of Aviation Operations Research (NEXTOR), University of California at Berkeley, Berkeley, CA 94720, USA;bDepartment of Transportation Technology and Management, National Chiao-Tung University, 1001 University Road, Hsinchu 300, Taiwan, ROC |
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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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Keywords: | Demand model Route choice Instrumental variables Value of travel time Panel data |
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