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Çѱ¹Á¶°æÇÐȸÁö , Vol.53 No.2(2025-04) |
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ÀáÀç°èÃþºÐ¼®; ´ÙÇ× ·ÎÁö½ºÆ½ ȸ±ÍºÐ¼®; ¸¸Á·µµ Â÷ÀÌ; »ê¸²±¸¼º¿ä¼Ò; ¼ö¿äÀÚ ¸ÂÃãÇü Àü·« ; Latent Class Analysis (LCA); Multinomial Logistic Regression; Satisfaction Differences; Forest Components; User-Centered Strategies |
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Following the COVID-19 pandemic, interest in health and quality of life has increased, leading to diversified demand and usage patterns for forest recreation. This study classified user groups based on forest recreation value perceptions using latent class analysis (LCA) and analyzed their characteristics and influencing factors. Six value perception factors were identified: ¡®health management,¡¯ ¡®family time,¡¯ ¡®happiness and relaxation,¡¯ ¡®ecological awareness,¡¯ ¡®life vitality,¡¯ and ¡®social connection.¡¯ LCA identified four latent classes: ¡®multi-purpose recreation type,¡¯ ¡®balanced relaxation type,¡¯ ¡®casual user type,¡¯ and ¡®passive user type.¡¯ Key findings include: (1) Higher age and income levels were associated with the ¡®multi-purpose recreation type¡¯ and ¡®balanced relaxation type,¡¯ while group differences influenced cost and accessibility. (2) Gender, age, and occupation were significant predictors of group membership. (3) Satisfaction with forest components, such as tree conditions, facilities, and management, was significantly higher in groups with stronger value perceptions. This study reveals diverse user groups based on forest recreation perceptions and provides insights for developing tailored user-centered forest recreation policies and programs. |