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Integration and differentiation: comparison of photography behaviors using unmanned aerial vehicle data in China and Europe

Author

Listed:
  • Xiliang Chen

    (Northwest University
    Northwest University)

  • Gang Li

    (Northwest University
    Northwest University)

  • Muhammad Sajid Mehmood

    (Henan University)

  • Qifan Nie

    (University of Alabama System)

  • Jie Yu

    (Northwest University)

Abstract

The continuous improvement in the design and manufacture of unmanned aerial vehicles (UAVs) has enabled them to assist humans in aerial tasks. At present, UAVs are not only used for environmental data collection, but also used by photographers to take photos. As the popularity of consumer UAVs rises, an increasing number of tourists are transitioning from the traditional perspectives of mobile phone and hand-held camera photography to the aerial perspective of UAV photography. Therefore this study examines UAV photos and related data uploaded by photographers within China and Europe to the UAV forum SkyPixel by using cloud-based data from Microsoft Azure vision, and sentiment, social network and spatial analyses. In addition, this paper also investigates the commonalities and differences between the behaviors and preferences of photographers who utilize UAV photography recreationally. The results indicate that the core content of UAV photography revolves around three major themes: natural landscapes, destination transportation facilities, and the daily behaviors of people. However, photographers in China mainly exhibit neutral emotions, while European photographers display mostly positive emotions. Hot spots are concentrated in mature tourist areas, especially top destinations near waterbodies. This study fosters a new understanding of the emerging group of UAV users.

Suggested Citation

  • Xiliang Chen & Gang Li & Muhammad Sajid Mehmood & Qifan Nie & Jie Yu, 2023. "Integration and differentiation: comparison of photography behaviors using unmanned aerial vehicle data in China and Europe," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
  • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-02181-0
    DOI: 10.1057/s41599-023-02181-0
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    References listed on IDEAS

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    1. Stepchenkova, Svetlana & Zhan, Fangzi, 2013. "Visual destination images of Peru: Comparative content analysis of DMO and user-generated photography," Tourism Management, Elsevier, vol. 36(C), pages 590-601.
    2. Xiliang Chen & Gang Li & Lan Yang & Qifan Nie & Xinyue Ye & Yanjun Liang & Tingting Xu, 2020. "Profiling unmanned aerial vehicle photography tourists," Current Issues in Tourism, Taylor & Francis Journals, vol. 23(14), pages 1705-1710, July.
    3. Tadeja Janša & Walanchalee Wattanacharoensil & Tomaž Kolar, 2020. "Computer supported analysis of Thailand’s imagery on Pinterest," Current Issues in Tourism, Taylor & Francis Journals, vol. 23(15), pages 1833-1839, August.
    4. Stephanie Hays & Stephen Page & Dimitrios Buhalis, 2013. "Social media as a destination marketing tool: its use by national tourism organisations," Current Issues in Tourism, Taylor & Francis Journals, vol. 16(3), pages 211-239.
    5. Si Jung Kim & Yunhwan Jeong & Sujin Park & Kihyun Ryu & Gyuhwan Oh, 2018. "A Survey of Drone use for Entertainment and AVR (Augmented and Virtual Reality)," Progress in IS, in: Timothy Jung & M. Claudia tom Dieck (ed.), Augmented Reality and Virtual Reality, pages 339-352, Springer.
    6. Pan, Steve & Lee, Jinsoo & Tsai, Henry, 2014. "Travel photos: Motivations, image dimensions, and affective qualities of places," Tourism Management, Elsevier, vol. 40(C), pages 59-69.
    7. Lo, Iris Sheungting & McKercher, Bob & Lo, Ada & Cheung, Catherine & Law, Rob, 2011. "Tourism and online photography," Tourism Management, Elsevier, vol. 32(4), pages 725-731.
    8. Ahmed Derdouri & Toshihiro Osaragi, 2021. "A machine learning-based approach for classifying tourists and locals using geotagged photos: the case of Tokyo," Information Technology & Tourism, Springer, vol. 23(4), pages 575-609, December.
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