Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41598-020-57864-4
Title: Using social media user attributes to understand human–environment interactions at urban parks
Authors: Song, Xiao Ping 
RICHARDS, DANIEL REX 
TAN PUAY YOK 
Issue Date: 14-Jan-2020
Publisher: Nature Publishing Group
Citation: Song, Xiao Ping, RICHARDS, DANIEL REX, TAN PUAY YOK (2020-01-14). Using social media user attributes to understand human–environment interactions at urban parks. Scientific Reports 10 (1) : 808. ScholarBank@NUS Repository. https://doi.org/10.1038/s41598-020-57864-4
Rights: Attribution 4.0 International
Abstract: Urban parks and green spaces are among the few places where city dwellers can have regular contact with nature and engage in outdoor recreation. Social media data provide opportunities to understand such human–environment interactions. While studies have demonstrated that geo-located photographs are useful indicators of recreation across different spaces, recreation behaviour also varies between different groups of people. Our study used social media to assess behavioural patterns across different groups of park users in tropical Singapore. 4,674 users were grouped based on the location and content of their photographs on the Flickr platform. We analysed how these groups varied spatially in the parks they visited, as well as in their photography behaviour. Over 250,000 photographs were analysed, including those uploaded and favourited by users, and all photographs taken at city parks. There were significant differences in the number and types of park photographs between tourists and locals, and between user-group axes formed from users’ photograph content. Spatial mapping of different user groups showed distinct patterns in the parks they were attracted to. Future work should consider such variability both within and between data sources, to provide a more context-dependent understanding of human–environment interactions and preferences for outdoor recreation.
Source Title: Scientific Reports
URI: https://scholarbank.nus.edu.sg/handle/10635/172950
ISSN: 2045-2322
DOI: 10.1038/s41598-020-57864-4
Rights: Attribution 4.0 International
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