TY - JOUR
T1 - Social media for landscape planning and design
T2 - a review and discussion
AU - Li, Shujuan
AU - Yang, Bo
N1 - Funding Information:
The authors thank the anonymous reviewers for their constructive comments which greatly improved this paper. This research was supported by the Drachman Institute.
Publisher Copyright:
© 2022 Landscape Research Group Ltd.
PY - 2022
Y1 - 2022
N2 - This report systematically reviews the academic literature on social media’s applications in landscape planning and design. As an emerging data source, social media help overcome the limitations associated with traditional datasets that focus primarily on environmental information; they explicitly or implicitly reveal important information concerning human behaviours, landscape values, and landscape perceptions. Key findings include: (1) social media data can be valid proxies for data collected from traditional methods, while presenting advantages of cost and time savings, and capturing the intangible and subjective dimension of cultural ecosystem services; (2) geospatial location, text information, and photo content are the primary data parameters in use; and (3) most studies currently focus on large/regional-scale, nonurban areas. We further identified four themes that characterise the current stage of social media applications. Challenges and prospects of social media in landscape studies are also discussed.
AB - This report systematically reviews the academic literature on social media’s applications in landscape planning and design. As an emerging data source, social media help overcome the limitations associated with traditional datasets that focus primarily on environmental information; they explicitly or implicitly reveal important information concerning human behaviours, landscape values, and landscape perceptions. Key findings include: (1) social media data can be valid proxies for data collected from traditional methods, while presenting advantages of cost and time savings, and capturing the intangible and subjective dimension of cultural ecosystem services; (2) geospatial location, text information, and photo content are the primary data parameters in use; and (3) most studies currently focus on large/regional-scale, nonurban areas. We further identified four themes that characterise the current stage of social media applications. Challenges and prospects of social media in landscape studies are also discussed.
KW - big data
KW - crowdsourcing
KW - Cultural ecosystem services
KW - design process
KW - landscape architecture
KW - landscape perception
UR - http://www.scopus.com/inward/record.url?scp=85128739776&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85128739776&partnerID=8YFLogxK
U2 - 10.1080/01426397.2022.2060953
DO - 10.1080/01426397.2022.2060953
M3 - Article
AN - SCOPUS:85128739776
JO - Landscape Research
JF - Landscape Research
SN - 0142-6397
ER -