IDEAS home Printed from https://ideas.repec.org/a/gam/jforec/v5y2023i1p11-212d1054945.html

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-9394/5/1/11/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2571-9394/5/1/11/
    Download Restriction: no
    ---><---

    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Ivanka Vasenska, 2025. "Comparative Analysis of Machine Learning and Deep Learning Models for Tourism Demand Forecasting with Economic Indicators," FinTech, MDPI, vol. 4(3), pages 1-22, September.
    3. Khumla Pornsiri & Sarawan Kamthorn, 2026. "Integrating Genetic Algorithms with LSTM for Improved Public Transportation Passenger Forecasting in Thailand," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 17(1), pages 13-24.
    4. Jesse T. Richman & Ryan J. Roberts, 2023. "Assessing Spurious Correlations in Big Search Data," Forecasting, MDPI, vol. 5(1), pages 1-12, February.
    5. Han Peng & Yike Chen & Linjian Shangguan & Shengnan Zhou & Yanchi Li & Qianyu Wang, 2025. "Evaluation of Urban Rail Transit System Planning Based on Integrated Empowerment Method and Matter-Element Model," Sustainability, MDPI, vol. 17(10), pages 1-22, May.
    6. Aleksandr N. Grekov & Elena V. Vyshkvarkova & Aleksandr S. Mavrin, 2024. "Forecasting and Anomaly Detection in BEWS: Comparative Study of Theta, Croston, and Prophet Algorithms," Forecasting, MDPI, vol. 6(2), pages 1-14, May.
    7. Freddy Espinoza-Figueroa & Dominique Vanneste & Byron Alvarado-Vanegas & Karina Farfán-Pacheco & Santiago Rodríguez-Girón & Victor Saquicela, 2025. "The Misunderstanding Between Tourism Resilience and Survival: Stakeholder Perceptions and Policy Effectiveness in Ecuador During the COVID-19 Pandemic Crisis," Sustainability, MDPI, vol. 17(9), pages 1-33, April.
    8. Keerti Manisha & Inderpal Singh, 2024. "Forecasting of Indian and foreign tourist arrivals to Himachal Pradesh using Decomposition, Box–Jenkins, and Holt–Winters exponential smoothing methods," Asia-Pacific Journal of Regional Science, Springer, vol. 8(3), pages 879-909, September.
    9. Ryeojin Jang & Won Seok Lee & Joonho Moon, 2023. "Determinants of Attitude and the Intention to Stay of Employees in Low-Cost Carriers: Using Justice Theory," Sustainability, MDPI, vol. 15(11), pages 1-13, May.
    10. Juan Vidal & Ramón A. Carrasco & Manuel J. Cobo & María F. Blasco, 2024. "Data Sources as a Driver for Market-Oriented Tourism Organizations: a Bibliometric Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7588-7621, June.
    11. Oxana Babecka Kucharcukova & Jan Bruha & Petr Sterba, 2025. "Web Reviews as a New Leading Indicator for Nowcasting Travel Expenditure in Balance of Payments Statistics," Working Papers 2025/13, Czech National Bank, Research and Statistics Department.
    12. Xiaoqing Luo, 2026. "When simplicity fails: forecasting Mainland Chinese tourist arrivals in Macao during structural breaks with a hybrid economic-search model," Asia-Pacific Journal of Regional Science, Springer, vol. 10(1), pages 1-31, March.
    13. 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.
    14. Yuruixian Zhang & Wei Chong Choo & Yuhanis Abdul Aziz & Choy Leong Yee & Jen Sim Ho, 2022. "Go Wild for a While? A Bibliometric Analysis of Two Themes in Tourism Demand Forecasting from 1980 to 2021: Current Status and Development," Data, MDPI, vol. 7(8), pages 1-38, July.
    15. Marcell Kupi & Eszter Szemerédi, 2021. "Impact of the COVID-19 on the Destination Choices of Hungarian Tourists: A Comparative Analysis," Sustainability, MDPI, vol. 13(24), pages 1-17, December.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jforec:v:5:y:2023:i:1:p:11-212:d:1054945. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.