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An analysis of air travelers' departure airport and destination choice behavior

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  • Furuichi, Masahiko
  • Koppelman, Frank S.

Abstract

This paper formulates and estimates nested logit models of departure airport and destination choice for international travel. The empirical analysis was accomplished using a 1989 survey of international air travelers departing from Japan. The estimation results support the use of nested logit rather than multinomial logit models. Analysis of the estimated parameters indicates that both business and pleasure air travelers have high values of time for both line-haul and access time.

Suggested Citation

  • Furuichi, Masahiko & Koppelman, Frank S., 1994. "An analysis of air travelers' departure airport and destination choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(3), pages 187-195, May.
  • Handle: RePEc:eee:transa:v:28:y:1994:i:3:p:187-195
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    Cited by:

    1. Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2003. "Access to and competition between airports: a case study for the San Francisco Bay area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(1), pages 71-83, January.
    2. Yang, Chih-Wen & Lu, Jin-Long & Hsu, Chun-Yen, 2014. "Modeling joint airport and route choice behavior for international and metropolitan airports," Journal of Air Transport Management, Elsevier, vol. 39(C), pages 89-95.
    3. Coldren, Gregory M. & Koppelman, Frank S., 2005. "Modeling the competition among air-travel itinerary shares: GEV model development," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 345-365, May.
    4. Paliska, Dejan & Drobne, Samo & Borruso, Giuseppe & Gardina, Massimo & Fabjan, Daša, 2016. "Passengers' airport choice and airports' catchment area analysis in cross-border Upper Adriatic multi-airport region," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 143-154.
    5. Danalet, Antonin & Tinguely, Loïc & Lapparent, Matthieu de & Bierlaire, Michel, 2016. "Location choice with longitudinal WiFi data," Journal of choice modelling, Elsevier, vol. 18(C), pages 1-17.
    6. Basar, Gözen & Bhat, Chandra, 2004. "A parameterized consideration set model for airport choice: an application to the San Francisco Bay Area," Transportation Research Part B: Methodological, Elsevier, vol. 38(10), pages 889-904, December.
    7. Yang, Chih-Wen & Wang, Hsiao-Chun, 2017. "A comparison of flight routes in a dual-airport region using overlapping error components and a cross-nested structure in GEV models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 85-95.
    8. Hess, Stephane & Polak, John W., 2005. "Mixed logit modelling of airport choice in multi-airport regions," Journal of Air Transport Management, Elsevier, vol. 11(2), pages 59-68.
    9. Johnson, Daniel & Hess, Stephane & Matthews, Bryan, 2014. "Understanding air travellers' trade-offs between connecting flights and surface access characteristics," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 70-77.
    10. Hsu, Chaug-Ing & Wen, Yuh-Horng, 2000. "Application of Grey theory and multiobjective programming towards airline network design," European Journal of Operational Research, Elsevier, vol. 127(1), pages 44-68, November.
    11. Ilse Terpstra & Mark G. Lijesen, 2015. "The impact of high speed rail on airport competition," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 106(3), pages 263-275, July.
    12. Zhang, Yunlong & Xie, Yuanchang, 2005. "Small community airport choice behavior analysis: A case study of GTR," Journal of Air Transport Management, Elsevier, vol. 11(6), pages 442-447.

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