Big data is one of the most important new tools that have impacted the world travel industry. It also plays an important role in determining the ways in which tourism businesses and non-governmental organizations formulate their strategies and policies. However, very limited academic research has been conducted into tourism forecasting using big data due to the difficulties in capturing, collecting, handling, and modeling this type of data, which is normally characterized by its privacy and potential commercial value. In this chapter, we define big data in the context of tourism forecasting and summarize the changes it has brought about in tourism business decision-making. A framework of tourism forecasting using big data is then presented.
CITATION STYLE
Song, H., & Liu, H. (2017). Predicting Tourist Demand Using Big Data. In Tourism on the Verge (Vol. Part F1056, pp. 13–29). Springer Nature. https://doi.org/10.1007/978-3-319-44263-1_2
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