Identifying Tourist Dispersion in Austria by Digital Footprints

Wolfgang Koerbitz (), Irem Önder () and Alexander C. Hubmann-Haidvogel ()
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Wolfgang Koerbitz: Vienna University of Economics and Business
Irem Önder: MODUL University
Alexander C. Hubmann-Haidvogel: MODUL University

A chapter in Information and Communication Technologies in Tourism 2013, 2013, pp 495-506 from Springer

Abstract: Abstract Tourism data are important for destinations, especially for planning, forecasting tourism demand, marketing, measuring economic impacts and benchmarking. There are different ways to collect tourism data. Traditional methods include guest surveys and data from accommodation providers, which are time consuming and expensive. Today, everyone leaves digital footprints on the internet, which can be used as data. One such footprint is photos uploaded on photo sharing websites. The purpose of this study is to find out how representative Flickr data is in comparison to actual tourist numbers in Austria. Using Flickr API data were collected related to Austria. The tourists and residents were categorized based on their activity time span on Flickr. Polynomial regression was conducted to estimate actual tourist bed nights based on Flickr tourist numbers. The results show that Flickr data can be used as an estimation of actual tourist numbers in Austria.

Keywords: Social media; Digital footprint; Flickr; Tourism statistics; Photography (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-36309-2_42

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DOI: 10.1007/978-3-642-36309-2_42

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