Tourism Forecasting of “Unpredictable” Future Shocks: A Literature Review by the PRISMA Model

S Gricar - Journal of Risk and Financial Management, 2023 - mdpi.com
This study delves into the intricate process of predicting tourism demand, explicitly focusing
on econometric and quantitative time series analysis. A meticulous review of the existing …

[图书][B] Econometric modelling and forecasting of tourism demand

DC Wu, G Li, H Song - 2022 - api.taylorfrancis.com
Accurate demand forecasts are crucial to decision-making in the tourism industry. They help
tourism-related businesses make short-term pricing and operations management decisions …

Insight into predicted shocks in tourism: review of an ex-ante forecasting

S Gricar, S Bojnec, T Baldigara - Journal of risk and financial …, 2022 - mdpi.com
The purpose of this paper is to provide an insight into the modelling and forecasting of
unknown events or shocks that can affect international tourist arrivals. Time-dependence is …

Introduction to the special issue: Tourism forecasting–New trends and issues

G Li, DC Wu - Tourism Economics, 2019 - journals.sagepub.com
Accurate demand forecasts are the foundation of tourism-related business decisions on
pricing and operation strategies, and for governments on infrastructure investment and …

Forecasting tomorrow's tourist

S Moro, P Rita - Worldwide Hospitality and Tourism Themes, 2016 - emerald.com
Purpose This study aims to present a very recent literature review on tourism demand
forecasting based on 50 relevant articles published between 2013 and June 2016 …

Forecasting tourist flows in the COVID‐19 era using nonparametric mixed‐frequency VARs

W You, Y Huang, CC Lee - Journal of Forecasting, 2024 - Wiley Online Library
It is widely recognized that the tourism industry is susceptible to crisis or natural disaster.
Although some literature has studied the consequences of the crisis and disaster, there …

[HTML][HTML] Tourism forecasting competition in the time of COVID-19

H Song, G Li - Annals of tourism research, 2021 - ncbi.nlm.nih.gov
Background The ongoing COVID-19 pandemic has had a profound effect on the tourism
industry. When the tourist market will recover remains unknown. Accurate forecasting of the …

The role of disaggregated search data in improving tourism forecasts: Evidence from Sri Lanka

K Wickramasinghe, S Ratnasiri - Current issues in tourism, 2021 - Taylor & Francis
Formulation of effective policies to enhance the resilience of tourism following the COVID-19
pandemic essentially requires comprehensive empirical information on changes in tourism …

Multi-scale analysis-driven tourism forecasting: insights from the peri-COVID-19

M Li, C Zhang, S Wang, S Sun - Current Issues in Tourism, 2023 - Taylor & Francis
Tourism managers and practitioners rely on accurate demand forecasting and well-informed
management guidance. Given the pandemic's consequences on tourism, future analysis in …

Forecasting tourist arrivals in Greece and the impact of macroeconomic shocks from the countries of tourists' origin

D Gounopoulos, D Petmezas, D Santamaria - Annals of Tourism Research, 2012 - Elsevier
This paper generates short-term forecasts on tourist arrivals in Greece and performs impulse
response analysis to measure the impact of macroeconomic shocks from the origin country …