Analysis of Forest Utilization Patterns to Improve Life Satisfaction and Policy Directions

Mijin Lee and Jeonghee Lee ()
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Mijin Lee: Forest Human Service Division, Future Forest Strategy Department, National Institute of Forest Science, Seoul 02455, Republic of Korea
Jeonghee Lee: Forest Human Service Division, Future Forest Strategy Department, National Institute of Forest Science, Seoul 02455, Republic of Korea

Sustainability, 2025, vol. 17, issue 8, 1-15

Abstract: 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.

Keywords: quality of life; living area; sustainable forest welfare; green spaces (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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