A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting
This study reviews 211 key papers published between 1968 and 2018, for a better
understanding of how the methods of tourism demand forecasting have evolved over time …
understanding of how the methods of tourism demand forecasting have evolved over time …
Tourism demand modelling and forecasting—A review of recent research
This paper reviews the published studies on tourism demand modelling and forecasting
since 2000. One of the key findings of this review is that the methods used in analysing and …
since 2000. One of the key findings of this review is that the methods used in analysing and …
Forecasting tourism recovery amid COVID-19
The profound impact of the coronavirus disease 2019 (COVID-19) pandemic on global
tourism activity has rendered forecasts of tourism demand obsolete. Accordingly, scholars …
tourism activity has rendered forecasts of tourism demand obsolete. Accordingly, scholars …
Forecasting temporal world recovery in air transport markets in the presence of large economic shocks: The case of COVID-19
This paper estimates the relationship between the strength of economic shocks and
temporal recovery in the world air transport industry. Our results show that world recovery of …
temporal recovery in the world air transport industry. Our results show that world recovery of …
Forecasting tourist arrivals with machine learning and internet search index
S Sun, Y Wei, KL Tsui, S Wang - Tourism Management, 2019 - Elsevier
Previous studies have shown that online data, such as search engine queries, is a new
source of data that can be used to forecast tourism demand. In this study, we propose a …
source of data that can be used to forecast tourism demand. In this study, we propose a …
A hybrid LSTM neural network for energy consumption forecasting of individual households
Irregular human behaviors and univariate datasets remain as two main obstacles of data-
driven energy consumption predictions for individual households. In this study, a hybrid …
driven energy consumption predictions for individual households. In this study, a hybrid …
Forecasting Chinese tourist volume with search engine data
The queries entered into search engines register hundreds of millions of different searches
by tourists, not only reflecting the trends of the searchers' preferences for travel products, but …
by tourists, not only reflecting the trends of the searchers' preferences for travel products, but …
Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach
PF Bangwayo-Skeete, RW Skeete - Tourism Management, 2015 - Elsevier
This paper introduces a new indicator for tourism demand forecasting constructed from
Google Trends' search query time series data. The indicator is based on a composite search …
Google Trends' search query time series data. The indicator is based on a composite search …
Daily tourism volume forecasting for tourist attractions
A novel approach based on long short-term memory (LSTM) networks that can incorporate
multivariate time series data, including historical tourism volume data, search engine data …
multivariate time series data, including historical tourism volume data, search engine data …
Prediction for tourism flow based on LSTM neural network
YF Li, H Cao - Procedia Computer Science, 2018 - Elsevier
Accurate tourism flow prediction is one of the most difficult problems in the Intelligent
Tourism System (ITS), especially in the short-term forecast. Existing models such as ARMA …
Tourism System (ITS), especially in the short-term forecast. Existing models such as ARMA …