Semantic Scholar Open Access 2025 1 sitasi

Beyond Homogeneous Perception: Classifying Urban Visitors’ Forest-Based Recreation Behavior for Policy Adaptation

Y. Yun Ga Eun Choi Ji-Ye Lee Yun Eui Choi

Abstrak

Urban forests, as a form of green infrastructure, play a vital role in enhancing urban resilience, environmental health, and quality of life. However, users perceive and utilize these spaces in diverse ways. This study aims to identify latent perception types among urban forest visitors and analyze their behavioral, demographic, and policy-related characteristics in Incheon Metropolitan City (Republic of Korea). Using latent class analysis, four distinct visitor types were identified: multipurpose recreationists, balanced relaxation seekers, casual forest users, and passive forest visitors. Multipurpose recreationists preferred active physical use and sports facilities, while balanced relaxation seekers emphasized emotional well-being and cultural experiences. Casual users engaged lightly with forest settings, and passive forest visitors exhibited minimal recreational interest. Satisfaction with forest elements such as vegetation, facilities, and management conditions varied across visitor types and age groups, especially among older adults. These findings highlight the need for perception-based green infrastructure planning. Policy recommendations include expanding accessible neighborhood green spaces for aging populations, promoting community-oriented events, and offering participatory forest programs for youth engagement. By integrating user segmentation into urban forest planning and governance, this study contributes to more inclusive, adaptive, and sustainable management of urban green infrastructure.

Penulis (4)

Y

Y. Yun

G

Ga Eun Choi

J

Ji-Ye Lee

Y

Yun Eui Choi

Format Sitasi

Yun, Y., Choi, G.E., Lee, J., Choi, Y.E. (2025). Beyond Homogeneous Perception: Classifying Urban Visitors’ Forest-Based Recreation Behavior for Policy Adaptation. https://doi.org/10.3390/land14081584

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Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.3390/land14081584
Akses
Open Access ✓