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Differences of Restorative Effects While Viewing Urban Landscapes and Green Landscapes

Author

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  • Youngeun Kang

    (Research Department, Site Planning Co. Ltd., Busan 48505, Korea)

  • Eujin Julia Kim

    (Department of Landscape Architecture, Gangneung-Wonju National University, Gangneung 25457, Korea)

Abstract

Attention Restoration Theory argues that natural objects such as trees and flowers have psychological restoration effects. However, relevant studies have been mostly based on survey methods, and few of them suggest guidelines for restoration environments. This study, therefore, aims to verify the restorative effect of natural objects using eye-tracking methods and a survey regarding visual aesthetics, complexity, and the Perceived Restorativeness Scale, as well 25 various images divided into 4 types: natural scene and close view, natural scene and distant view, built scene and close view, and built scene and distant view. The analysis showed that natural scenes had a stronger positive restorative effect compared to built scenes regardless of differences in the distance. In terms of the overall landscape composition, visual characteristics such as visual aesthetics and complexity had a statistically significant relationship with restorative effect. Additionally, an eye-tracking method was found to be a valid and useful tool for studying the restorative environments by significant differences in the scan path length depending on the four types of landscape images. This study ultimately provides an overview regarding restorative design guidelines not only by using natural elements but also by considering landscape composition in terms of complexity, openness, and so on.

Suggested Citation

  • Youngeun Kang & Eujin Julia Kim, 2019. "Differences of Restorative Effects While Viewing Urban Landscapes and Green Landscapes," Sustainability, MDPI, vol. 11(7), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:7:p:2129-:d:221440
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    References listed on IDEAS

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    1. Yu Wu & Zhixiong Zhuo & Qunyue Liu & Kunyong Yu & Qitang Huang & Jian Liu, 2021. "The Relationships between Perceived Design Intensity, Preference, Restorativeness and Eye Movements in Designed Urban Green Space," IJERPH, MDPI, vol. 18(20), pages 1-16, October.
    2. Massimiliano Masullo & Francesca Castanò & Roxana Adina Toma & Luigi Maffei, 2020. "Historical Cloisters and Courtyards as Quiet Areas," Sustainability, MDPI, vol. 12(7), pages 1-21, April.
    3. Massimiliano Masullo & Asli Ozcevik Bilen & Roxana Adina Toma & Gulsen Akin Guler & Luigi Maffei, 2021. "The Restorativeness of Outdoor Historical Sites in Urban Areas: Physical and Perceptual Correlations," Sustainability, MDPI, vol. 13(10), pages 1-23, May.
    4. Chang Li & Yu Yuan & Changan Sun & Minkai Sun, 2022. "The Perceived Restorative Quality of Viewing Various Types of Urban and Rural Scenes: Based on Psychological and Physiological Responses," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    5. Yilin Sun & Li Zhu & Jiang Li & Ni Zhang & Yue Tang & Xiaokang Wang & Honglin Wu, 2023. "Study on the Influence and Optimization of Neighborhood Space on the Perceived Restoration of Rural Left-Behind Older People: The Case of Changsha, China," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    6. Marjan Shayestefar & Mahdieh Pazhouhanfar & Clarine van Oel & Patrik Grahn, 2022. "Exploring the Influence of the Visual Attributes of Kaplan’s Preference Matrix in the Assessment of Urban Parks: A Discrete Choice Analysis," Sustainability, MDPI, vol. 14(12), pages 1-19, June.

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