Internet techniques significantly influence the tourism industry and Internet data have been
used widely used in tourism and hospitality research. However, reviews on the recent …

Despite the emergence of the notion of smart tourism destinations in tourism research, few
studies have delved deeply into the topic, and the little research focusing on the subject has …

Based on internet big data from multiple sources (ie, the Baidu search engine and two
online review platforms, Ctrip and Qunar), this study forecasts tourist arrivals to Mount …

This study aims to forecast international tourist arrivals to Hong Kong from seven English-
speaking countries. A new direction in tourism demand modeling and forecasting is …

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 …

The social networks and the rapid development of new technologies have led to
considerable changes in the tourism industry. Artificial intelligence, in particular natural …

Utilizing a scientometric review of global trends and structure from 388 bibliographic records
over two decades (1999–2018), this study seeks to advance the building of comprehensive …

Purpose This research presents machine learning models for predicting international tourist
arrivals in Indonesia during the COVID-19 pandemic using multisource Internet data …

Developing a tourism forecasting function in decision support systems has become critical
for businesses and governments. The existing forecasting models considering spatial …

As damage from natural hazards is increasing, quantifying community resilience is a top
priority in enhancing communities' ability to prepare for and recover from disasters. This …