Profiling unmanned aerial vehicle photography tourists

Xiliang Chen, Gang Li, Lan Yang, Qifan Nie, Xinyue Ye, Yanjun Liang, Tingting Xu

Research output: Contribution to journalLetterpeer-review

18 Scopus citations


Based on User Generated Content (UGC) data, namely Unmanned Aerial Vehicle (UAV) photos and corresponding social media captions, this paper uses the methods of AI cognitive analysis and GIS spatial analysis to profile UAV photography tourists. The findings of this study reveal that UAV photography tourists primarily take pictures of natural landscapes, most of which do not contain humans, concentrated in the coastal regions. Additionally, a sentiment analysis indicates that tourists’ opinions of photography are typically positive.

Original languageEnglish (US)
Pages (from-to)1705-1710
Number of pages6
JournalCurrent Issues in Tourism
Issue number14
StatePublished - Jul 17 2020

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Tourism, Leisure and Hospitality Management


  • UAV photography
  • profiling
  • spatial pattern
  • tourism photo
  • tourist behaviour


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