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Tourists' preference for colors of forest landscapes and its implications for forest landscape planning policies

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  • Liu, Wan-Yu
  • Tsao, Chen
  • Lin, Chun-Cheng

Abstract

Green space helps people improve their physical and psychological health, while the seasonal influence of green space changes the characteristics of forest landscape. This study adopts the attention restoration theory (ART) to assess the psychological benefits for different forest landscape colors in Aowanda National Forest Park, the most known one in Taiwan. The results showed that the attention recovery, landscape preference, and willingness to stay vary with different forest landscape colors. Among them, attention recovery was positively associated with landscape preference, which was further associated with the desired length of stay. Tourists preferred and were willing to stay longer for forest landscapes with red and yellow & red combination (warm tones), showing that relatively low color temperature and high saturation create a warm feeling to tourists. This study recommends that local climate change and environment should be considered in the future environmental planning and landscape design for national forest parks; tree species with leaf colors that change seasonally (e.g., taxodium distichum and liquidambar formosana) should be selected; and the overall color consistency of the landscape should be concerned to improve the effect of restoring the environment. For increasing the attention restoration experience, planning can be implemented according to the features of various national forest parks.

Suggested Citation

  • Liu, Wan-Yu & Tsao, Chen & Lin, Chun-Cheng, 2023. "Tourists' preference for colors of forest landscapes and its implications for forest landscape planning policies," Forest Policy and Economics, Elsevier, vol. 147(C).
    • Handle: RePEc:eee:forpol:v:147:y:2023:i:c:s1389934122002003
    DOI: 10.1016/j.forpol.2022.102887
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    References listed on IDEAS

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    1. LI, Jie, 2021. "A simulation approach to optimizing the vegetation covers under the water constraint in the Yellow River Basin," Forest Policy and Economics, Elsevier, vol. 123(C).
    2. Chen, Pin-Zheng & Liu, Wan-Yu, 2019. "Assessing management performance of the national forest park using impact range-performance analysis and impact-asymmetry analysis," Forest Policy and Economics, Elsevier, vol. 104(C), pages 121-138.
    3. Ronghua Wang & Jingwei Zhao, 2020. "Effects of evergreen trees on landscape preference and perceived restorativeness across seasons," Landscape Research, Taylor & Francis Journals, vol. 45(5), pages 649-661, July.
    4. Stephanie Wilkie & Emine Thompson & Paul Cranner & Kevin Ginty, 2020. "Attention restoration theory as a framework for analysis of Tweets about urban green space: a case study," Landscape Research, Taylor & Francis Journals, vol. 45(6), pages 777-788, August.
    5. van den Berg, Agnes E. & Maas, Jolanda & Verheij, Robert A. & Groenewegen, Peter P., 2010. "Green space as a buffer between stressful life events and health," Social Science & Medicine, Elsevier, vol. 70(8), pages 1203-1210, April.
    6. Kim, Hyerin & Shoji, Yasushi & Tsuge, Takahiro & Aikoh, Tetsuya & Kuriyama, Koichi, 2020. "Understanding services from ecosystem and facilities provided by urban green spaces: A use of partial profile choice experiment," Forest Policy and Economics, Elsevier, vol. 111(C).
    7. Ming Lu & Jingwan Fu, 2019. "Attention Restoration Space on a University Campus: Exploring Restorative Campus Design Based on Environmental Preferences of Students," IJERPH, MDPI, vol. 16(14), pages 1-19, July.
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    Cited by:

    1. Ai, Hongshan & Zhou, Zhengqing, 2023. "Green growth: The impact of urban forest construction on economic growth in China," Economic Modelling, Elsevier, vol. 125(C).

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