(1) Research Highlights: Existing studies primarily focus on the supply-side evaluation of urban forest accessibility, emphasizing physical proximity while often overlooking real-time usage patterns and demographic-specific exposure. This study shifts the focus to social exposure, analyzing how diverse population groups interact with urban forests across different times of the day, integrating dynamic accessibility metrics. (2) Background and Objectives: Unlike previous research that predominantly assessed urban forest accessibility through conventional models based on static spatial proximity, this study incorporates spatiotemporal population distribution data to capture actual utilization patterns. By introducing a dynamic, exposure-based framework, this research aims to facilitate equitable and temporally sensitive access to green spaces across diverse demographic groups. (3) Materials and Methods: This study focuses on Seoul, South Korea, and applies the Gaussian-based Two-Step Floating Catchment Area (G2SFCA) methodology to assess urban forest accessibility. Living population data (2021–2024) from mobile telecommunications sources were used as demand indicators, while OpenStreetMap (OSM) green space data were utilized as supply indicators. Realistic travel distances were calculated using OSM pedestrian networks and Dijkstra’s algorithm, incorporating slope effects and distance decay functions. A K-means clustering algorithm was applied to classify four distinct exposure types based on demographic and temporal variations. (4) Results: The findings reveal significant disparities in urban forest exposure based on age group and time of day. Four major urban forest exposure patterns were identified: Type A—school-age children, with peak usage around midday; Type B—working-age adults, frequenting mid-sized urban forests during commuting and leisure hours; Type C—elderly individuals, utilizing large-scale urban forests and neighborhood parks mainly in the morning; Type D—young adults, engaging with small urban parks and rest areas at various times. (5) Conclusions: Urban forest management must move beyond the quantitative expansion of green spaces and instead implement customized policies that optimize accessibility and equitable distribution based on distinct temporal and demographic patterns of social exposure. By integrating real-time urban mobility data into urban forest planning, policies can better align green space supply with actual usage, fostering a more equitable, data-driven, and sustainable urban green infrastructure.

Interest in the balance between work and life and improving the quality of life is expected to steadily increase the number of users of forest welfare facilities. In this study, the “2023 Forest Recreation and Welfare Activity Survey” was used to analyze how characteristics of forest visits, such as visit frequency, the number of visited areas, expenditures, and the presence of companion animals, affect life satisfaction based on three visit types: daily (less than 4 h), day (more than 4 h), and overnight (more than 1 night). A hierarchical regression of 9437 respondents revealed that age, occupation, education, spouse, children, household income, and type of residence, excluding sex, were significantly correlated with life satisfaction. A hierarchical regression analysis revealed that for daily visitors, both visit frequency and companion animals increased life satisfaction. For day visitors, visit frequency, the number of visited areas, expenditures, and companion animals enhanced life satisfaction. For overnight visitors, visit frequency and expenditures positively impacted life satisfaction. Across all visit types, the frequency of forest visits consistently increased life satisfaction. This study statistically clarified how the characteristics of each visit type affect life satisfaction. The findings provide foundational data for future policies and research on forest recreation and welfare.

Background: Although forest therapy services in South Korea have demonstrated mental and physical effects, there is no established system for forest therapy prescriptions. To this end, it is necessary to devise a systematic model for the introduction of forest therapy prescriptions by linking the existing forest therapy infrastructure and medical services. Therefore, this study aimed to derive the components and application plans needed to devise a forest therapy prescription model for the spread of medical-linked forest therapy services and to secure a forest therapy prescription infrastructure. Methods: To this end, Korean and foreign cases of prescription models and healthcare service provision systems were analyzed to derive the necessary components for prescription models. Subsequently, a Focus Group Interview (FGI) was conducted with eight experts in the fields of forest therapy and welfare, psychiatry, and health and nursing, and opinions were derived regarding the conception and empirical application of the forest therapy prescription model through content analysis. Results: As a result of the study, five components (clear role-sharing and a collaboration system, a continuous system, customized service provision, various technologies and content, and a database-based prescription system) were derived from cases of prescription models and healthcare service provision systems according to field. Furthermore, the FGI identified three primary topics: stakeholders’ scope and role, procedures and effectiveness, and additional considerations. Each was categorized into eight sub-categories relevant to the design of the forest therapy prescription model. Conclusions: These results can be used as basic data for devising a systematic Korean forest therapy prescription model in which forest therapy and medical services are linked, providing a foundation for personalized forest therapy prescriptions to be implemented.

This study investigates the impact of forest-activity diversity on life satisfaction using data from the 2023 Forest Recreation and Welfare Activities Survey conducted by the Korea Forest Service. Forest-activity diversity was categorized into two dimensions: experience diversity (combining forest recreation and welfare-activity experiences) and utilization diversity (the use of forest recreation and welfare facilities and programs). Hierarchical regression analysis revealed that greater diversity in forest activities and utilization significantly enhances life satisfaction. However, participants who engaged in both forest recreation and welfare activities or utilized both facilities and programs reported comparatively lower life satisfaction. The findings indicate that while activity and utilization diversity are critical in improving life satisfaction, the benefits may plateau with excessive participation. The effects of leisure activities also vary based on individual factors such as age, gender, and life context, underscoring the importance of tailored forest welfare programs. Balanced and meaningful engagement in diverse activities is essential for maximizing well-being. While forest activities generally enhance life satisfaction, programs must be inclusive and flexible to address diverse user needs. Future research should incorporate objective measures and longitudinal designs to better evaluate the long-term effects of forest welfare activities.

Background and objective: With the increasing public awareness of health due to COVID-19 and the quality of life, people have come to prefer natural spaces with fewer crowds. Public use of forest trails is increasing as a place that satisfies the demand for such natural spaces. As a result, the basic plans for trails and mountaineering support were established, and there has been government-level support such as the establishment of the Korea Mountaineering Support Center, which resulted in a quantitative and qualitative increase in the use of forest trails. Accordingly, efforts must be made to ensure satisfaction and loyalty in using forest trails.Methods: Therefore, this study identified the factors affecting the overall satisfaction and loyalty toward forest trails through structural equation modeling. As for the research data, we used data from the Fact-finding Survey on Forest Welfare Facility Users to analyze the use of forest trails.Results: As a result, safety and comfort, kindness, travel time, and program experience variety had a significant effect directly and indirectly on overall satisfaction and loyalty. Safety and comfort affected personal activity experience variety, while kindness affected program experience variety. For travel time, the direct effect on loyalty showed a positive correlation, but the indirect effect showed a negative correlation.Conclusion: These results showed that safety should be considered a top priority on forest trails, and that long travel time to forest trails could be a factor that increases loyalty by offering various programs. In addition, loyalty has a multifaceted correlation between several factors, suggesting that it is necessary to consider not only direct effects but also indirect effects.