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Verification of Immersive Virtual Reality as a Streetscape Evaluation Method in Urban Residential Areas

Author

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  • Jaewon Han

    (Department of Urban Planning and Engineering, Hanyang University, 222 Wangshimni-ro, Sungdong-gu, Seoul 04763, Republic of Korea)

  • Sugie Lee

    (Department of Urban Planning and Engineering, Hanyang University, 222 Wangshimni-ro, Sungdong-gu, Seoul 04763, Republic of Korea)

Abstract

In this paper, we verified the applicability of immersive VR technology to street-level residential landscape evaluation. We used GSV images taken from pedestrian paths in residential areas of Seoul and selected evaluation images through random sampling. Then, we conducted web-based and VR-based residential streetscape evaluation experiments with those landscape images. The VR-based streetscape evaluation results differed significantly from the web-based streetscape evaluation results. Our multi-level ordered logistic analysis confirmed that the VR-based streetscape evaluation method had better explanatory power than the web-based streetscape evaluation method. In the immersive VR-based streetscape evaluation index, the naturalness, beauty, and safety indicators had particularly high explanatory power. This study concluded that the VR-based streetscape evaluation method over the web-based method is more suitable for evaluating street scenes experienced in daily life. In addition, the innovative methodological approaches, including big data, virtual reality, and visual experiences, will also provide new insights for the planning and management of sustainable landscapes.

Suggested Citation

  • Jaewon Han & Sugie Lee, 2023. "Verification of Immersive Virtual Reality as a Streetscape Evaluation Method in Urban Residential Areas," Land, MDPI, vol. 12(2), pages 1-16, January.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:2:p:345-:d:1048530
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    References listed on IDEAS

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    Cited by:

    1. Yue Chen & Qikang Zhong & Bo Li, 2023. "Positive or Negative Viewpoint Determines the Overall Scenic Beauty of a Scene: A Landscape Perception Evaluation Based on a Panoramic View," Sustainability, MDPI, vol. 15(14), pages 1-23, July.
    2. Xueshun Li & Kuntong Huang & Ruinan Zhang & Yang Chen & Yu Dong, 2024. "Visual Perception Optimization of Residential Landscape Spaces in Cold Regions Using Virtual Reality and Machine Learning," Land, MDPI, vol. 13(3), pages 1-33, March.
    3. Xiaofei Li & Chunyu Pang, 2024. "A Spatial Visual Quality Evaluation Method for an Urban Commercial Pedestrian Street Based on Streetscape Images—Taking Tianjin Binjiang Road as an Example," Sustainability, MDPI, vol. 16(3), pages 1-20, January.

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