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Applying Big Data to Tourism

Most tourism and events analytics literatures are based on surveys, interviews, observations or focus group studies. However, these studies are small in size, unrepresentative, low in spatialtemporal resolutions, and unable to measure travel experiences. Applying big data in tourism can reveal more insights and improved knowledge into various aspects of tourism industry.
People Impacted
$ 409B
Potential Funding
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the problem
Nature and Context

Over 15 million Americans are employed by the tourism and hospitality industry. Information on how the industry of tourism effects economic growth is generally understudied. Applying big data in tourism has the following advantages: larger reliability than self-reported data and intentions; easier to cross-reference with other data based on the geo-spatial information; more knowledge about the industry’s target market produced by the customers themselves.

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