Prepoznavanje vzorcev mobilnosti obiskovalcev v Sloveniji s pomočjo podatkov platforme Flickr

Identifying visitor mobility patterns in Slovenia using Flickr data

Author(s):

Dejan Paliska, Simon Kerma, Samo Drobne

Abstract:

Spatial analysis of the geographic positions of photos taken by tourists enables the monitoring, presentation, and planning of tourism activities in regard to location. Most photo-sharing websites offer the possibility of geo-tagging the photos to provide geographical information. In this paper, we use the geo-coordinates of photos from the Flickr platform to identify the locations of popular tourist attractions and destinations in Slovenia and analyse the mobility patterns of visitors between them. We analysed samples of 210,643 photos taken by 11,555 different Flickr users over a twelve- year period between 2007 and 2018. The results generally show that Slovenia is not an integrated and homogeneous tourism destination than the eastern part of Slovenia, and that there are individual subsystems of destinations with strong centers.

Keywords:

tourist destinations, visitor mobility, clustering with noise, Flickr, Slovenia

DOI: 10.15292/geodetski-vestnik.2022.02.175-188

Citation:

Dejan Paliska, Simon Kerma, Samo Drobne (2022). Prepoznavanje vzorcev mobilnosti obiskovalcev v Sloveniji s pomočjo podatkov platforme Flickr. | Identifying visitor mobility patterns in Slovenia using Flickr data. Geodetski vestnik, 66 (2), 175-188. DOI: 10.15292/geodetski-vestnik.2022.02.175-188