Even at an early stage, diverse big data have been applied to tourism research and made
an amazing improvement. This paper might be the first attempt to present a comprehensive …

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 …

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 …

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 …

After more than ten years of exponential development, the growth rate of cruise tourist in
China is slowing down. There is increasingly financial risk of investing in homeports, cruise …

Using search engine data (SED) to forecast tourist flow is essential for management and
security warnings at tourist attractions. Existing prediction models cannot effectively handle …

Because of high fluctuations of tourism demand, accurate predictions of tourist arrivals are of
high importance for tourism organizations. The study at hand presents an approach to …

Tourism planners rely on accurate demand forecasting. However, despite numerous
advancements, crucial methodological issues remain unaddressed. This study aims to …

This study reviewed 72 studies in tourism demand forecasting during the period from 2008
to 2017. Forecasting models are reviewed in three categories: econometric, time series and …

Previous studies show that time series data about the frequency of hits for tourism-related
search terms from Google (Google Trends data) is a valuable predictor for short-term tourism …