Classifying Multi Destination Trips in Austria with Big Data

Irem Önder

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Multi-destination trips are interesting for research in order to see which destinations are combined into one leisure trip. The aim of this study is to classify multi-destination trips in Austria based on geotagged photos on Flickr. The study sample includes tourists in Austria who visited at least two different cities based on the geolocations of their photos. The results revealed three types of multi-destination trips: (1) single destination trips (57%); (2) base camp trips (30%); and (3) regional tour trips (13%). Furthermore, cluster analysis was conducted to categorize the cities. The first cluster covers the eastern part of the country, which includes larger cities such as Vienna and Graz, and the second cluster refers to the western part of Austria. Practical implications includes creating joint marketing campaigns and new tourism products such as hiking trails between cities in the same cluster.
Original languageEnglish
Pages (from-to)54-58
JournalTourism Management Perspectives
Volume21
Publication statusPublished - Jan 2017

Keywords

  • Multi-destination trips
  • destination marketing
  • flickr
  • geotagging
  • Big data

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