Cultural ecosystem services (CESs) are essential for the sustainable development and management of urban green spaces. However, there remains a gap in leveraging big data and unsupervised machine learning to comprehensively evaluate perceived CESs. This study introduces a hybrid research methodology integrating latent dirichlet allocation (LDA) and importance–performance analysis (IPA) to analyze 20,087 user-generated reviews of Fragrance Hill Park in Beijing from Meituan. The key findings are the following: (1) ten types of CESs were identified, including five related to personal well-being, four to public well-being, and one bridging both categories; (2) the most significant dimensions were “recreational activities”, “aesthetic appreciation”, “physical well-being”, and “mental well-being”; (3) users expressed positive sentiments toward “history and culture”, “mental well-being”, and “religious engagement”, while “social relations” received the most negative feedback; (4) IPA results highlight “recreational activities” and “aesthetic appreciation” as priority areas for improvement. This study provides a scalable, data-driven framework for evaluating CESs in urban green spaces. The insights gained can inform urban green space management and policy decisions to enhance user experiences and promote sustainable urban development.
Tea tourism has gained prominence recently, particularly with the recognition of traditional Chinese tea processing techniques as an intangible cultural heritage. Nevertheless, as a niche form of tourism, knowledge gaps persist regarding the understanding of tea tourists’ perceptions of the tourism environment and their subsequent impact on behavior intentions. Underpinned by affordance theory, this study aims to investigate the role of tourism environment affordance in shaping behavior intentions through emotional value and cultural identity. A structural equation modeling (SEM) approach was employed to analyze survey data collected from 296 online responses provided by tea tourists. The key findings are as follows: (1) tea tourists primarily visit sites like a tea village, tea garden, and tea house, typically once or twice annually, with visits lasting 2–4 or 4–8 h; (2) convenient transportation and facilities, educational opportunities, and well-designed environments emerge as the most influential aspects of tourism environment affordance; and (3) tourism environment affordance significantly influences emotional value and cultural identity, and these in turn act as mediators between tourism environment affordance and behavior intentions. Therefore, this study expands the application of affordance theory to tea tourism by elucidating how perceptions of tourism environment affordance impact tea tourists’ behavior intentions and it deepens our understanding of the flow of cultural ecosystem services. Additionally, it underscores the pivotal role of tourism in providing cultural ecosystem services for preserving intangible cultural heritage and nurturing cultural identity. Practical implications for promoting tea tourism as cultural ecosystem services are also gleaned from our findings.