Airline data for global city network research: reviewing and refining existing approaches |
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Authors: | Ben Derudder Frank Witlox James Faulconbridge Jon Beaverstock |
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Institution: | (1) Department of Geography, Ghent University, 9000 Gent, Belgium;(2) Department of Geography, Lancaster University, LA1 4YW Lancaster, UK;(3) Department of Geography, Nottingham University, NG7 2RD Nottingham, UK |
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Abstract: | Information on air passenger flows is potentially a prime data source for assessing spatial patterns in the global city network,
but previous analyses have been hampered by inadequate and/or partial data. The ensuing analytical deficiencies have reduced
the overall value of these analyses, and this paper examines how some of these deficiencies may be rectified. First, we review
the rationale for using airline data to analyse the global city network. Second, we assess the data problems encountered in
previous research. Third, we elaborate on the construction of datasets that may circumvent some of these problems. The proposed
refinements include the omission of the hub function of major airports and ways to extract relevant business flows from the
data.
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Keywords: | Global city network Transnational mobility Business travel Airline data |
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