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Editorial for Special Issue: “Tourism Forecasting: Time-Series Analysis of World and Regional Data”

Author

Listed:
  • João Paulo Teixeira

    (Research Centre in Digitalization and Intelligent Robotics (CEDRI)—Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal)

  • Ulrich Gunter

    (School of Tourism and Service Management, Modul University Vienna, 1190 Vienna, Austria)

Abstract

This Special Issue was honored with six contribution papers embracing the subject of tourism forecasting [...]

Suggested Citation

  • João Paulo Teixeira & Ulrich Gunter, 2023. "Editorial for Special Issue: “Tourism Forecasting: Time-Series Analysis of World and Regional Data”," Forecasting, MDPI, vol. 5(1), pages 1-3, February.
    • Handle: RePEc:gam:jforec:v:5:y:2023:i:1:p:11-212:d:1054945
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    References listed on IDEAS

    as
    1. El houssin Ouassou & Hafsa Taya, 2022. "Forecasting Regional Tourism Demand in Morocco from Traditional and AI-Based Methods to Ensemble Modeling," Forecasting, MDPI, vol. 4(2), pages 1-18, April.
    2. Maksim Godovykh & Jorge Ridderstaat & Carissa Baker & Alan Fyall, 2021. "COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism," Forecasting, MDPI, vol. 3(4), pages 1-14, November.
    3. Dung David Chuwang & Weiya Chen, 2022. "Forecasting Daily and Weekly Passenger Demand for Urban Rail Transit Stations Based on a Time Series Model Approach," Forecasting, MDPI, vol. 4(4), pages 1-21, November.
    4. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
    5. Ahmed Shoukry Rashad, 2022. "The Power of Travel Search Data in Forecasting the Tourism Demand in Dubai," Forecasting, MDPI, vol. 4(3), pages 1-11, July.
    Full references (including those not matched with items on IDEAS)

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