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Comparisons of Landscape Preferences through Three Different Perceptual Approaches

Author

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  • Tian Gao

    (College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, Shaanxi, China
    These authors contributed equally to this work.)

  • Huiyi Liang

    (College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, Shaanxi, China
    These authors contributed equally to this work.)

  • Yuxuan Chen

    (College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, Shaanxi, China)

  • Ling Qiu

    (College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, Shaanxi, China)

Abstract

In order to identify the effects and divergences of the different landscape perception approaches on landscape preference, this study investigated people’s preferences for urban green spaces with different vegetation structures in the early spring through using three approaches, which were on-site survey, photo elicitation and VR technology. The results showed that: (a) There were significant differences among the three approaches for landscape preference, among which there was a significant difference between VR technology and the other two approaches, while no differences between on-site survey and photo elicitation were found. (b) The respondents showed significant differences in their preferences for the urban green spaces with the different vegetation structures through VR technology, and the semi-open green space received the highest preference score. (c) Whatever the approach employed, there were no significant differences in gender and professional background groups for landscape preference. (d) In the comparisons of the three different approaches, the respondents were more willing to choose physical recreational activities to be conducted in the early spring. Based on the above results, the three approaches of landscape perception were divergent and irreplaceable. It is, thus, suggested that the approach of landscape perception should be carefully selected for a specific landscape in a certain season, so as to provide a scientific basis for the evaluation of landscape perception and preference in the future.

Suggested Citation

  • Tian Gao & Huiyi Liang & Yuxuan Chen & Ling Qiu, 2019. "Comparisons of Landscape Preferences through Three Different Perceptual Approaches," IJERPH, MDPI, vol. 16(23), pages 1-13, November.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:23:p:4754-:d:291483
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    References listed on IDEAS

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    1. Dafna Fisher-Gewirtzman, 2018. "Perception of density by pedestrians on urban paths: an experiment in virtual reality," Journal of Urban Design, Taylor & Francis Journals, vol. 23(5), pages 674-692, September.
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    Cited by:

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    2. Kinga Kimic & Paulina Polko, 2022. "The Use of Urban Parks by Older Adults in the Context of Perceived Security," IJERPH, MDPI, vol. 19(7), pages 1-20, March.
    3. Gianni Talamini & Ting Liu & Roula El-Khoury & Di Shao, 2023. "Visibility and symbolism of corporate architecture: A multi-method approach for visual impact assessment," Environment and Planning B, , vol. 50(9), pages 2407-2429, November.
    4. Jose Luis Saorin & Carlos Carbonell-Carrera & Allison J. Jaeger & Dámari Melián Díaz, 2023. "Landscape Design Outdoor–Indoor VR Environments User Experience," Land, MDPI, vol. 12(2), pages 1-23, January.
    5. Esther van Vliet & Gamze Dane & Minou Weijs-Perrée & Eveline van Leeuwen & Mayke van Dinter & Pauline van den Berg & Aloys Borgers & Kynthia Chamilothori, 2020. "The Influence of Urban Park Attributes on User Preferences: Evaluation of Virtual Parks in an Online Stated-Choice Experiment," IJERPH, MDPI, vol. 18(1), pages 1-20, December.
    6. Xinyi Chen & Yuyang Wang & Tao Huang & Zhengsong Lin, 2022. "Research on Digital Experience and Satisfaction Preference of Plant Community Design in Urban Green Space," Land, MDPI, vol. 11(9), pages 1-17, August.
    7. Xinhui Fei & Yanqin Zhang & Deyi Kong & Qitang Huang & Minhua Wang & Jianwen Dong, 2023. "Quantitative Model Study of the Psychological Recovery Benefit of Landscape Environment Based on Eye Movement Tracking Technology," Sustainability, MDPI, vol. 15(14), pages 1-19, July.

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