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Using big data to measure cultural tourism in Europe

Author

Listed:
  • Karol Jan Borowiecki
  • Maja U Pedersen
  • Sara Beth Mitchell

Abstract

International tourism statistics are notorious for being overly aggregated, lacking in detailed tourist information, not timely, and often provided only on an annual basis. We suggest a unique, complementary data-driven approach relying on big data collected from Tripadvisor. We obtain a systematic, consistent, and reliable approximation for tourism flows, with high precision, frequency, and depth of information. The approach provides also a list of all tourist attractions in a country. We validate the approach pursued and present one application of the data by illuminating the patterns and changes in travel flows in selected European destinations during and after the COVID-19 pandemic. This project opens a range of new research questions and possibilities for tourism economics and cultural economics.

Suggested Citation

  • Karol Jan Borowiecki & Maja U Pedersen & Sara Beth Mitchell, 2025. "Using big data to measure cultural tourism in Europe," Tourism Economics, , vol. 31(3), pages 477-503, May.
    • Handle: RePEc:sae:toueco:v:31:y:2025:i:3:p:477-503
    DOI: 10.1177/13548166241273604
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