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Perspectives on the Direction of the Suncheon Bay National Garden from Local Residents and Non-Local Visitors

Author

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  • Moohan Kim

    (Bureau of Ecological Research, Division of Ecosystem Services and Research Planning, National Institute of Ecology, Chungcheongnam-do 33657, Korea)

  • Jong-Sang Sung

    (Graduate School of Environmental Studies, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Jin-Wook Lee

    (Environmental Planning Institute, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

Abstract

As Korea’s first national garden, the Suncheon Bay National Garden is a major tourist attraction and a space of enjoyment for visitors. However, in 2016 its sudden establishment necessitates many discussions and measures, and requires that it seek direction based on current perceptions for its continued use in the future. This study begins a search for that direction by examining perspectives of local residents and non-local visitors on the relationships between visitors’ purposes, spatial needs, and required features. The research methodology included a survey administered to Suncheon residents and tourists on these factors. Results were analyzed by multiple correlation analysis and networking between the variables, and differences between Suncheon residents and non-local visitors were deduced; relationships among the factors were also verified. Both locals and visitors saw a need to emphasize garden experiences and education. The study also presents items that differ by respondent group. This study provides information that can be referred to when implementing management and plans for other national gardens.

Suggested Citation

  • Moohan Kim & Jong-Sang Sung & Jin-Wook Lee, 2017. "Perspectives on the Direction of the Suncheon Bay National Garden from Local Residents and Non-Local Visitors," Sustainability, MDPI, vol. 9(10), pages 1-10, October.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:10:p:1832-:d:114668
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    References listed on IDEAS

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    1. Zhang Bin & Horvath Steve, 2005. "A General Framework for Weighted Gene Co-Expression Network Analysis," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 4(1), pages 1-45, August.
    2. Boley, B. Bynum & McGehee, Nancy G. & Perdue, Richard R. & Long, Patrick, 2014. "Empowerment and resident attitudes toward tourism: Strengthening the theoretical foundation through a Weberian lens," Annals of Tourism Research, Elsevier, vol. 49(C), pages 33-50.
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