Editorial for Special Issue: “Tourism Forecasting: Time-Series Analysis of World and Regional Data”-Reference-Cited by-同舟云学术

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

Published:2023-02-02 Issue:1 Volume:5 Page:210-212
ISSN:2571-9394
Container-title:Forecasting
language:en
Short-container-title:Forecasting

Author:

Teixeira João Paulo¹^ORCID,Gunter Ulrich²

Affiliation:

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

2. 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 [...]

Funder

Foundation for Science and Technology

Publisher

MDPI AG

Subject

General Medicine

Link

https://www.mdpi.com/2571-9394/5/1/11/pdf

Reference6 articles.

1. COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism;Godovykh;Forecasting,2021

2. Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests;Gunter;Forecasting,2021

3. Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks;Nguyen;Forecasting,2022

4. Forecasting Regional Tourism Demand in Morocco from Traditional and AI-Based Methods to Ensemble Modeling;Ouassou;Forecasting,2022

5. The Power of Travel Search Data in Forecasting the Tourism Demand in Dubai;Rashad;Forecasting,2022

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