Aug 2026· Land· Vol 15, pp. 1586· 0 citations· 46 references
Abstract
Cultural ecosystem services (CES) are widely measured but rarely attributed to the specific landscape elements that generate them. We coupled element-level image recognition with service-level text analysis across 20,447 reviews and 18,997 photographs from three social media platforms covering 15 national-, provincial-, and municipal-level forest parks in Guangzhou, China (2020–2024). A 2660-term dictionary quantified nine CES; a fine-tuned deep learning classifier identified 28 landscape elements; multiple correspondence analysis described the element-service structure and ridge regression tested associations within four case parks. Natural elements aligned with ecological, aesthetic, and inspirational services and built elements with cultural, social, and wellness services, but two results qualify that division. First, individual elements were associated with different services in opposite directions: seasonal forest with higher aesthetic appreciation but lower recreation, water features with higher aesthetic value but lower inspiration. Second, the mapping differed across the four case parks rather than holding constant; in the municipal case park, only built facilities positively predicted social interaction. These four parks are illustrative exemplars rather than representative samples of their tiers. Dynamic biological elements (birds 0.43%, insects 0.12%, fish 0.08%) ranked lowest of all 28 elements. These are descriptive associations awaiting mechanistic explanation; on that reading, planning for CES would be better organized around intended services than element inventories, calibrated to the individual park.
Traditional villages in karst natural heritage areas are distinctive rural built environments where natural, cultural, and landscape elements intertwine. Identifying relationships between built-environment characteristics and visual preference is important for improving spatial quality and supporting sustainable touris...
Yan-Zhen Li, Si-Jia Zhu, Kai Wang et al.· Buildings· 0 citations
Against the backdrop of the concurrent processes of tourism development, spatial commercialisation, and architectural heritage conservation, identifying tourists’ cognitive images of destinations and differences in textual valence provides an important basis for evaluating the quality of tourism built environments and...
Visual color composition is a key component of cultural ecosystem services in urban forests, yet the spatial mechanisms linking dominant-color patterns to aesthetic outcomes remain insufficiently quantified. This study develops a reproducible workflow with automated metric extraction that converts digitally simulated f...
Zuo-You Hu, Ping Li, Zhong-Yi Li et al.· Journal of Environmental Man...· 0 citations
Adaptive reuse of industrial heritage requires operational-stage evidence on public spatial perception, yet scalable and reproducible assessment remains limited. We developed a user-generated content (UGC)-based text-mining framework and applied it to eight cultural-creative industrial heritage sites in central Chong...
Wei Mao, Kai Xue, Kai-Yuan He· Scientific Reports· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.