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A spatial analysis of multiple airport cities

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  • Derudder, Ben
  • Devriendt, Lomme
  • Witlox, Frank

Abstract

This paper presents a detailed empirical description of airport connectivities in four major multiple airport cities (London, New York, Los Angeles, and San Francisco). Our analysis draws on data derived from a previously largely untapped information source, i.e. the so-called ‘Marketing Information Data Transfer’ (MIDT). This dataset contains information on actually flown transnational routes, which allows for a thorough assessment of the chief connectivity characteristics of specific airports. Combined with information derived from a number of other sources, our results point to functional divisions among airports, both in terms of their geographical scale (e.g. national, regional, and international airports) and their specific role in the airline network (e.g. origin/destination versus hub airports). The implications of the results are discussed, and some avenues for future research are considered.

Suggested Citation

  • Derudder, Ben & Devriendt, Lomme & Witlox, Frank, 2010. "A spatial analysis of multiple airport cities," Journal of Transport Geography, Elsevier, vol. 18(3), pages 345-353.
  • Handle: RePEc:eee:jotrge:v:18:y:2010:i:3:p:345-353
    DOI: 10.1016/j.jtrangeo.2009.09.007
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    References listed on IDEAS

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    1. Eric Pels & Peter Nijkamp & Piet Rietveld, 2001. "Airport and Airline Choice in a Multiple Airport Region: An Empirical Analysis for the San Francisco Bay Area," Regional Studies, Taylor & Francis Journals, vol. 35(1), pages 1-9.
    2. Derudder, Ben & Witlox, Frank, 2009. "The impact of progressive liberalization on the spatiality of airline networks: a measurement framework based on the assessment of hierarchical differentiation," Journal of Transport Geography, Elsevier, vol. 17(4), pages 276-284.
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    8. Devriendt, Lomme & Burghouwt, Guillaume & Derudder, Ben & de Wit, Jaap & Witlox, Frank, 2009. "Calculating load factors for the transatlantic airline market using supply and demand data – A note on the identification of gaps in the available airline statistics," Journal of Air Transport Management, Elsevier, vol. 15(6), pages 337-343.
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