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Modeling joint airport and route choice behavior for international and metropolitan airports

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  • Yang, Chih-Wen
  • Lu, Jin-Long
  • Hsu, Chun-Yen

Abstract

The main objective of this study is to model the airport and route choice behavior for a direct flight from Taiwan to Shanghai. We adopt a stated preference approach to design choice scenarios and evaluate the effects of airport operating strategy. Further, we formulate a nested logit model that combines the choice of airport and flight route and analyze the trade-off between airport characteristics, access factors, and flight attributes. Our empirical findings indicate that access time and access cost are both important aspects in airport choice, while air fare and flying time significantly influence the route choice of travelers. Further, a fast check-in service at airports have an impact on the travelers with high personal income, while frequent fliers on business trips are more concerned with the daily frequency of flights. In particular, the travelers prefer to arrive at a metropolitan airport than an international airport but no significant difference in departure airport. Finally, this study is the first of its kind to propose a two-dimensional strategy map to help operators develop a price strategy.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jaitra:v:39:y:2014:i:c:p:89-95
    DOI: 10.1016/j.jairtraman.2014.05.001
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    3. Jung, Se-Yeon & Yoo, Kwang-Eui, 2016. "A study on passengers' airport choice behavior using hybrid choice model: A case study of Seoul metropolitan area, South Korea," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 70-79.
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    5. Yang, Chih-Wen & Liao, Pei-Han, 2016. "Modeling the joint choice of access modes and flight routes with parallel structure and random heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 19-31.
    6. Koo, Tay T.R. & Hossein Rashidi, Taha & Park, Jin-Woo & Wu, Cheng-Lung & Tseng, Wen-Chun, 2017. "The effect of enhanced international air access on the demand for peripheral tourism destinations: Evidence from air itinerary choice behaviour of Korean visitors to Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 116-129.
    7. Gelhausen, Marc C. & Berster, Peter & Wilken, Dieter, 2018. "A new direct demand model of long-term forecasting air passengers and air transport movements at German airports," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 140-152.
    8. Cheung, Tommy K.Y. & Wong, Collin W.H. & Zhang, Anming, 2020. "The evolution of aviation network: Global airport connectivity index 2006–2016," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
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