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An appraisal of the CORINE land cover database in airport catchment area analysis using a GIS approach

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  • Suau-Sanchez, Pere
  • Burghouwt, Guillaume
  • Pallares-Barbera, Montserrat

Abstract

This paper presents a free available dataset, the CORINE land cover that helps dealing with the biases caused by pre-defined and heterogeneous census district boundaries in airport catchment area analysis in Europe. Using this dataset and a conventional GIS software it is possible to measure the size of the population within catchment areas at the same spatial level for all EU airports, allowing for consistent comparisons among airports. To illustrate the potential of the CORINE/GIS approach, the size of the population in the catchment areas of all European airports was determined. The empirical exercise has an aggregate perspective, but this database presents many other possibilities of analysis to perform in a case-by-case basis.

Suggested Citation

  • Suau-Sanchez, Pere & Burghouwt, Guillaume & Pallares-Barbera, Montserrat, 2014. "An appraisal of the CORINE land cover database in airport catchment area analysis using a GIS approach," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 12-16.
    • Handle: RePEc:eee:jaitra:v:34:y:2014:i:c:p:12-16
    DOI: 10.1016/j.jairtraman.2013.07.004
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    3. Dobruszkes, Frédéric & Vandermotten, Christian, 2022. "Do scale and the type of markets matter? Revisiting the determinants of passenger air services worldwide," Journal of Air Transport Management, Elsevier, vol. 99(C).
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    5. Kaveckis Giedrius, 2017. "Greenest Capital of the Baltic States – A Spatial Comparison of Greenery," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 5(1), pages 160-176, November.
    6. Ramos-Pérez, David & Izquierdo-Misiego, José Ignacio, 2015. "Flying from Europe to the Algarve: The Geographical Impacts of the Growth of Low-cost Carriers (1996-2013)," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 3(4), pages 275-295.
    7. Wang, Sen & Kong, Ningning Nicole & Gao, Yi, 2024. "Use mobile location data to infer airport catchment areas and calibrate Huff gravity model in the New York metropolitan area," Journal of Transport Geography, Elsevier, vol. 114(C).
    8. Kim, Amy M. & Ryerson, Megan S., 2018. "A long drive: Interregional airport passenger “leakage” in the U.S," Tourism Management, Elsevier, vol. 65(C), pages 237-244.
    9. Daniel Albalate & Mattia Borsati, 2019. "“On the modal shift from motorway to high-speed rail: evidence from Italy”," IREA Working Papers 201910, University of Barcelona, Research Institute of Applied Economics, revised Jun 2019.
    10. Yirgu, Kaleab Woldeyohannes & Kim, Amy M., 2024. "Airport choices and resulting catchments in the U.S. Midwest," Journal of Transport Geography, Elsevier, vol. 114(C).
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