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An econometric air travel demand model for the entire conventional domestic network: The case of Norway

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  • Fridström, Lasse
  • Thune-Larsen, Harald
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    Abstract

    A direct demand intercity gravity model has been developed with the purpose of forecasting air traffic volumes on the entire conventional Norwegian network. The model has been calibrated econometrically using combined cross-sectional and time series data on traffic flows, fares, travel time, income, and population. Fares and travel time are taken into account for air travel as well as for the fastest surface means of mass transportation. Medium- and long-term elasticities are derived and have the expected sign and order of magnitude,with one disturbing exception.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

    Volume (Year): 23 (1989)
    Issue (Month): 3 (June)
    Pages: 213-223

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    Handle: RePEc:eee:transb:v:23:y:1989:i:3:p:213-223

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    Cited by:
    1. Lu, Cherie, 2009. "The implications of environmental costs on air passenger demand for different airline business models," Journal of Air Transport Management, Elsevier, vol. 15(4), pages 158-165.
    2. Wei, Wenbin & Hansen, Mark, 2006. "An aggregate demand model for air passenger traffic in the hub-and-spoke network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 841-851, December.
    3. Hans Kremers & Peter Nijkamp & Piet Rietveld, 2000. "A Meta-Analysis of Price Elasticities of Transport Demand in a General Equilibrium Framework," Tinbergen Institute Discussion Papers 00-060/3, Tinbergen Institute.
    4. Mark Lijesen & Peter Nijkamp & Eric Pels, 2005. "The Home Carrier Advantage in Civil Aviation," Tinbergen Institute Discussion Papers 05-011/3, Tinbergen Institute.
    5. Fildes, Robert & Wei, Yingqi & Ismail, Suzilah, 2011. "Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures," International Journal of Forecasting, Elsevier, vol. 27(3), pages 902-922, July.

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