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Classifying multi-destination trips in Austria with big data

Tourism Management PerspectivesPublished 18 November 2016
İrem Önder
Citations69
SJR quartileQ1
SJR score1.87
SNIP2.18

TL;DR

To classify multi-destination trips in Austria based on geotagged photos on Flickr, a study sample includes tourists in Austria who visited at least two different cities based on the geolocations of their photos revealed three types of multi- destination trips.

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.

Keywords

Social Sciences