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Exploring Network Effects of Point-to-Point Networks: An Investigation of the Spatial Entry Patterns of Southwest Airlines

Author

Listed:
  • Jia Yan
  • Xiaowen Fu
  • Tae Oum

    (School of Economic Sciences, Washington State University)

Abstract

This paper explores network effects in Point-to-Point airline networks by examining the spatial entry patterns of Southwest airlines during the 1990-2006 period. Estimation results from a spatial probit model reveal clear spatial dependence in profitability across different routes served by the carrier. Detailed investigation suggests two main sources of network effects, namely: (1) airport and regional presence, and (2) substitutability of markets. Findings of the paper suggest also that the network effects embedded in Southwest’s Point-to-Point network have many distinguishing features as compared to those identified in a typical Hub-and-Spoke network. This study brings some fresh insights on airline network effects in general, as well as explaining the pattern of aggressive network expansions of LCCs in particular.

Suggested Citation

  • Jia Yan & Xiaowen Fu & Tae Oum, 2008. "Exploring Network Effects of Point-to-Point Networks: An Investigation of the Spatial Entry Patterns of Southwest Airlines," Working Papers 2008-21, School of Economic Sciences, Washington State University.
  • Handle: RePEc:wsu:wpaper:yan-3
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    File URL: http://faculty.ses.wsu.edu/WorkingPapers/Yan/Yan_Fu_Oum_Nov.pdf
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    References listed on IDEAS

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    1. Zhang, Shengrun & Derudder, Ben & Fuellhart, Kurt & Witlox, Frank, 2018. "Carriers’ entry patterns under EU-US open skies agreement," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 101-112.
    2. Fu, Xiaowen & Homsombat, Winai & Oum, Tae H., 2011. "Airport–airline vertical relationships, their effects and regulatory policy implications," Journal of Air Transport Management, Elsevier, vol. 17(6), pages 347-353.

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    Keywords

    Point-to-Point Networks; spatial entry patterns; Southwest airlines; spatial probit model;
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