Big data in tourism research: A literature review
J Li, L Xu, L Tang, S Wang, L Li - Tourism management, 2018 - Elsevier
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 …
an amazing improvement. This paper might be the first attempt to present a comprehensive …
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 …
The impact of COVID-19 on tourism sector in India
ABSTRACT The novel coronavirus (COVID-19), which is one of its kind of humanitarian
disasters, has affected people and businesses worldwide, triggering a global economic …
disasters, has affected people and businesses worldwide, triggering a global economic …
A look back and a leap forward: a review and synthesis of big data and artificial intelligence literature in hospitality and tourism
In reaction to the growing attention paid to big data and artificial intelligence in hospitality
and tourism research, we systematically reviewed 270 relevant studies to identify topical …
and tourism research, we systematically reviewed 270 relevant studies to identify topical …
Tourism demand forecasting: A deep learning approach
Traditional tourism demand forecasting models may face challenges when massive
amounts of search intensity indices are adopted as tourism demand indicators. Using a …
amounts of search intensity indices are adopted as tourism demand indicators. Using a …
Review of tourism forecasting research with internet data
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 …
used widely used in tourism and hospitality research. However, reviews on the recent …
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 big data analytics method for tourist behaviour analysis
Big data generated across social media sites have created numerous opportunities for
bringing more insights to decision-makers. Few studies on big data analytics, however, have …
bringing more insights to decision-makers. Few studies on big data analytics, however, have …
Tourism demand forecasting using tourist-generated online review data
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 …
speaking countries. A new direction in tourism demand modeling and forecasting is …
Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach
G Xie, Y Qian, S Wang - Tourism Management, 2021 - Elsevier
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 …
China is slowing down. There is increasingly financial risk of investing in homeports, cruise …