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Erschienen in:
Analytics in Tourism Design Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Predicting Tourist Demand Using Big Data

verfasst von : Haiyan Song, Han Liu

Erschienen in: Analytics in Smart Tourism Design

Verlag: Springer International Publishing

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Abstract

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.

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Metadaten
Titel
Predicting Tourist Demand Using Big Data
verfasst von
Haiyan Song
Han Liu
Copyright-Jahr
2017
Buch
Analytics in Smart Tourism Design

Print ISBN: 978-3-319-44262-4

Electronic ISBN: 978-3-319-44263-1

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-44263-1_2