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Patterns of US air transport across the economic unevenness of 2003–2013

Author

Listed:
  • Kurt Fuellhart
  • Kristien Ooms
  • Ben Derudder
  • Kevin O'Connor

Abstract

This map summarizes the relative change in activity at 379 airports during the tumultuous economic period that lasted from 2003 to 2013 in the conterminous USA. Rather than treating airports only as individual nodes, the work identifies relative regional spatial change in airport activity based upon the combination of the percentage changes in three factors: departures, passenger levels, and available seats. The geographic results, calculated by kriging, show that the outcome over the period is not spatially uniform. In particular, the map shows that parts of the Rust Belt, Appalachia, and the Intermountain West fared relatively worse while the plains and coasts did somewhat better. The analysis expresses the fact that while footloose in the short-run, long-term adjustments in the airline industry, like those experienced across 2003–2013, did so in a spatially coherent way.

Suggested Citation

  • Kurt Fuellhart & Kristien Ooms & Ben Derudder & Kevin O'Connor, 2016. "Patterns of US air transport across the economic unevenness of 2003–2013," Journal of Maps, Taylor & Francis Journals, vol. 12(5), pages 1253-1257, October.
    • Handle: RePEc:taf:tjomxx:v:12:y:2016:i:5:p:1253-1257
    DOI: 10.1080/17445647.2016.1152917
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    Cited by:

    1. Ryerson, Megan S. & Kim, Amy M., 2018. "A drive for better air service: How air service imbalances across neighboring regions integrate air and highway demands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 237-255.
    2. Sismanidou, Athina & Tarradellas, Joan & Suau-Sanchez, Pere, 2022. "The uneven geography of US air traffic delays: Quantifying the impact of connecting passengers on delay propagation," Journal of Transport Geography, Elsevier, vol. 98(C).
    3. Suh, Daniel Y. & Ryerson, Megan S., 2019. "Forecast to grow: Aviation demand forecasting in an era of demand uncertainty and optimism bias," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 400-416.
    4. Marques Teixeira, Filipe & Derudder, Ben, 2020. "Revealing route bias in air transport data: The case of the Bureau of Transport Statistics (BTS), Origin-Destination Survey (DB1B)," Journal of Air Transport Management, Elsevier, vol. 82(C).
    5. Gudmundsson, S.V. & Cattaneo, M. & Redondi, R., 2021. "Forecasting temporal world recovery in air transport markets in the presence of large economic shocks: The case of COVID-19," Journal of Air Transport Management, Elsevier, vol. 91(C).

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