Progress in tourism demand research: Theory and empirics
To explore recent progress in tourism demand research, we comprehensively survey current
studies in the leading tourism and hospitality journals, asking six evaluative questions about …
studies in the leading tourism and hospitality journals, asking six evaluative questions about …
Present and prospective research themes for tourism and hospitality education post-COVID19: A bibliometric analysis
Academic research in tourism and hospitality sector adds value directly to the way the
industry grows and develops. Scholars in this area struggle with the pressures to publish in …
industry grows and develops. Scholars in this area struggle with the pressures to publish in …
Tourism demand forecasting with online news data mining
This study empirically tests the role of news discourse in forecasting tourist arrivals by
examining Hong Kong. It employs structural topic modeling to identify key topics and their …
examining Hong Kong. It employs structural topic modeling to identify key topics and their …
COVID-19 and the aviation industry: The interrelationship between the spread of the COVID-19 pandemic and the frequency of flights on the EU market
This study aims to investigate the contribution of aviation related travel restrictions to control
the spread of COVID-19 in Europe by using quasi-experiment approaches including the …
the spread of COVID-19 in Europe by using quasi-experiment approaches including the …
Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors?
During the COVID-19 pandemic, daily tourism demand forecasting provides actionable
insight on tourism operations amid intense uncertainty. This paper applies the lasso method …
insight on tourism operations amid intense uncertainty. This paper applies the lasso method …
Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach
Abstract The coronavirus disease (COVID-19) pandemic has already caused enormous
damage to the global economy and various industries worldwide, especially the tourism …
damage to the global economy and various industries worldwide, especially the tourism …
Tourism forecasting with granular sentiment analysis
Generic sentiment calculations cannot fully reflect tourists' preferences, whereas fine-
grained sentiment analysis identifies tourists' precise attitudes. This study forecasted visitor …
grained sentiment analysis identifies tourists' precise attitudes. This study forecasted visitor …
Tourism demand forecasting with spatiotemporal features
C Li, W Zheng, P Ge - Annals of Tourism Research, 2022 - Elsevier
Tourism demand forecasting is a crucial prerequisite for effective and efficient tourism
management. This study develops a novel model based on deep learning methods for …
management. This study develops a novel model based on deep learning methods for …
[HTML][HTML] Machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic: a multisource Internet data approach
DT Andariesta, M Wasesa - Journal of Tourism Futures, 2022 - emerald.com
Purpose This research presents machine learning models for predicting international tourist
arrivals in Indonesia during the COVID-19 pandemic using multisource Internet data …
arrivals in Indonesia during the COVID-19 pandemic using multisource Internet data …
Tourism recovery amid COVID-19: The case of Lombardy, Italy
D Provenzano, S Volo - Tourism Economics, 2022 - journals.sagepub.com
Travel restrictions and social distancing imposed to curb the spread of the new coronavirus
have been strongly hitting tourism since March 2020. Tourism forecasting literature …
have been strongly hitting tourism since March 2020. Tourism forecasting literature …