As a type of green infrastructure, greenways are beneficial for walking and cycling and promote urban health and well-being. Taking the Qingshan Lake Greenway Phase One (QLG-I) Trail in the Lin’an District of Hangzhou city as an example and based on the accessibility of points of interest (POI) near the QLG-I Trail, a questionnaire investigation, and an importance performance analysis (IPA), in this paper, we construct a methodological framework to evaluate the health-promotion capabilities of the QLG-I Trail, including three aspects: promoting the coverage of healthy travel, user attribute analysis, and user perceptions of the greenway for health promotion. The results show that the healthy travel range of the QLG-I Trail is small and that the users are mainly residents of nearby communities. Additionally, the main factors affecting users’ health-promoting behaviour are safety, cleanliness, and infrastructure services. Although the overall satisfaction with service quality was good (3.93), we found that the trail facilities did not meet the needs of the users. This study confirms that the QLG-I Trail provides community residents with a place for sports activities and supports health-promoting behaviour. Greenway facilities and the natural environment enhance this utility; however, promoting the coverage of healthy travel is limited by accessibility. Finally, we propose a traffic-organization optimization and improvement plan for the QLG-I Trail. The research results may help promote healthy activities on this type of greenway.

Poetic texts are crucial for uncovering heritage sites’ cultural values. This research uses natural language processing (NLP), Python-based co-occurrence semantic networks, and kernel density analysis to study 2065 ancient poems on Hangzhou’s West Lake, exploring landscape imagery and sightseeing behaviors. It identifies four typical landscape images with specific elements, structural characteristics, and significant spatial differentiation, influenced by natural foundations, socio-economic contexts, and ideologies, which shape diverse tourism motivations and tourism behaviors. Based on these insights, it proposes conservation and utilization strategies at individual sites, tourist routes, and regional levels to enhance preservation and sustainable use, aiding in restoring original imagery, preserving authenticity, and providing valuable insights for heritage management amid modern tourism demands.

With the continuous promotion of the rural revitalisation strategy, the planning and organisation of individual villages can hardly adapt to the current development needs of rural areas, causing synergistic development among villages to become a critical goal in promoting the sustainable development of rural areas. Reconstructing the development space of traditional village clusters can reduce their development gaps and promote coordinated development. Understanding the connections between traditional village units can support adaptive reconstructions of village spatial network structures and offer scientific and reasonable development planning strategies. Based on geographical and economic data publicly released in 2022, this study takes the traditional villages of the Fuchun River Basin in China as an example and uses village development quality and the shortest traffic time crawled in real time by Python to construct a spatial connection model of traditional villages in the Fuchun River Basin. The study also uses social network analysis to analyse the characteristics of the spatial network structure. The results show that (1) the intensity of spatial connections in these traditional villages is severely polarised and imbalanced. (2) The spatial network structure is in the development stage; few villages act as intermediaries, and the networks have poor connectivity and integrity. (3) The connection density within cohesive subgroups varies considerably. No complete transmission path exists among the subgroups, and the path of collaborative development is imperfect. These findings can optimise and reconstruct the selected spatial network of traditional villages to integrate and upgrade their development. The framework system also holds reference significance for other similar rural traditional villages.

Understanding the research lineage of rural landscape ecosystem services (RLESs) is of importance for improving rural landscapes and developing sustainable ecosystem services. However, there is currently no literature analysis on the scientific quantification and visualization of RLESs. In this study, 4524 articles related to RLESs from 1990 to 2021 were analyzed using the bibliometric method and ISI Web of Science database. The results show that RLES research hotspots have gradually shifted from the early keywords of “vegetation”, “land use change”, “agriculture”, “rural gradients” and “models” to the emerging “cultural ecosystem services”, “rural tourism”, “landscape preferences” and “policy guidance”. Scholars from developed and developing countries place different emphases on research hotspots in terms of research content, scale and methodology due to differences in their research backgrounds and other aspects. In addition, five categories of research fronts were obtained through literature co-citation analysis. Through burst word detection analysis, combined with basic research and research hotspots and frontier analysis, we concluded that future RLES research will focus on four areas: (1) the relationship and collaboration between and management of biodiversity and ecosystem services; (2) the landscape value of RLESs; (3) land-use changes and ecosystem service values; and (4) research methods for innovative RLESs. Our findings may contribute to better in-depth RLES research by providing a theoretical reference and practical help for future related research.