Tapping urban and soundscape heritage in urban forests contributes to the conservation and utility of cultural heritage. However, urban heritage and soundscapes might be damaged by urban renewal and geological changes. Poems describing urban and soundscape heritage have been poorly researched due to the obscurity, fragmentation, and inaccessibility of historical materials. This study explores the tendencies of ancient poets toward poetized locales and soundscapes and investigates the present conservation of cultural heritage. This study uses historical sensing to assess the spatial information and auditory sensations about cultural heritage in poems through manual collation. Most of the sites in the poems are currently distributed in urban green spaces with good greenery conditions. These sites are mostly located in the downtown area (38.1%) and outskirts (38.1%) of Fuzhou and are well-preserved urban heritage sites. Generally, the poets preferred to describe birds chirping and visited sites with high forest coverage, such as mountains. The methodology of this study can provide a reference for other research on urban and soundscape heritage, helping with the excavation of natural culture and historical resource conservation in cities.

Exploring the spatial distribution of tourist attractions and comprehending the spatio-temporal behaviors of tourists within tourist attractions can provide local planning agencies, destination marketing organizations, and government departments with essential evidence for decision-making processes. This study examines the spatio-temporal behavior patterns of tourists in the Kushan Scenic Area by analyzing GPS trajectory data acquired from social media platforms. The investigation primarily utilizes three research methodologies: grid analysis, Markov chain, and K-means clustering. The grid analysis results reveal three spatial distribution patterns within the scenic area, while the outcomes from the Markov chain and K-means clustering delineate six tourist movement patterns, along with three choices regarding travel time. This finding holds significant practical implications for enhancing the attractiveness of scenic areas, optimizing spatial layout, and improving tourists’ experiences.

With the growing significance of social media in disseminating destination images, short videos have emerged as the primary channel through which tourists acquire destination information. In China, local governments at all administrative levels have begun to explore how to portray a more accurate and diverse destination image through short video platforms, which has become a pressing issue today. This study utilizes a combination of manual analysis (subject terms classification) and computer-assisted techniques (key-frame extraction and text mining) to examine the short videos posted on the TikTok (Douyin) platform by the integrated media centers of Minhou County, Yongtai County, Minqing County, and Lianjiang County in Fuzhou City, China. The objective is to explore the shared characteristics and variations in the dimensional aspects of destination images. The findings reveal that the short video contents released by the governmental new media accounts in these four counties primarily highlight three dimensions: stakeholders, urban infrastructures, and regional landscapes. These dimensions are evident in both descriptive texts and visual symbols. However, in terms of the presented destination image, a notable degree of homogeneity is observed, and there is a lack of emphasis on uncovering and presenting the cultural dimensions, thus failing to reflect the distinctive local characteristics fully. Consequently, it is essential for local integrated media centers to thoroughly explore the cultural uniqueness of their respective regions and enhance the development of thematic dimensions in creating short video content. This approach will effectively strengthen tourists’ association with and perception of destination images.

Background: University common spaces are important settings where university students spend time, move between destinations, relax, and interact socially. Their environmental characteristics may influence attention restoration, stress reduction, and emotion regulation. Methods: Following the PRISMA-ScR reporting guidelines for scoping reviews, we systematically searched the relevant literature, and conducted a narrative synthesis of 52 studies that met the inclusion criteria. The synthesis characterized the current state of research on how university common spaces promote psychological restoration among university students, including the influencing factors, psychologically restorative outcomes, and potential pathways underlying these effects. Results: The results showed the following: (1) Existing studies have focused primarily on campus landscape green spaces, particularly vegetated spaces and waterfront spaces, whereas architectural-environmental and facility-support factors have received relatively little attention. (2) University students’ psychological restoration has mainly been assessed using five categories of indicators: attention restoration, stress reduction, regulation of negative emotions, vitality restoration, and reduced loneliness. All five indicators are influenced, to varying degrees, by the characteristics of university common spaces and their constituent elements. (3) The characteristics and constituent elements of university common spaces may influence university students’ psychological restoration both directly and indirectly, with the latter effects mediated by attitudinal perceptions and behavioral support, including perceived restorativeness, environmental satisfaction, spatial preference, place attachment, physical activity, and social interaction. Conclusion: Overall, university common spaces have the potential to promote psychological restoration among university students; however, existing studies remain limited by insufficient coverage of space types, a lack of systematic measurement of constituent elements, a lack of standardized restoration outcomes, and limited evidence on underlying mechanisms. Future research should compare multiple types of university common spaces, integrate outcome measures, identify pathways, and quantify spatial elements to provide more actionable evidence for designing restorative environments on university campuses.