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Isovist indicators as a means to relieve pedestrian psycho-physiological stress in Hong Kong

Author

Listed:
  • Luyao Xiang

    (The 26451Chinese University of Hong Kong, Hong Kong)

  • Georgios Papastefanou

    (GESIS Leibniz Institute for the Social Sciences, Germany)

  • Edward Ng

    (The 26451Chinese University of Hong Kong, Hong Kong)

Abstract

The creation of a psychologically friendly outdoor environment has important quality-of-life implications for urban residents who live in cities with extremely high population density, such as Hong Kong. Prospect Refuge Theory is the most widely recognized theory that explains environmental emotional influence by referring to urban planning and architecture, and it can be quantified by applying isovist indicators. We aim to (a) conduct field measurements that record dynamic psycho-physiological stress, (b) calculate isovist indicators by introducing a new indicator-isovist time difference and then analyse their effects on stress, and (c) draw on findings to provide recommendations for urban planning and design. The experiment is conducted for the first time in a high-density city where 30 participants are asked to walk a predefined route. Each participant wears a portable smart band that records skin conductance response and a global positioning system (GPS) that records geographic coordinates. The results demonstrate that (1) an open space with a visual target set at a distance is the dominant factor that creates positive emotions in Hong Kong; (2) the new indicator-isovist time difference (D1) is valuable, as it is more significantly related to stress than the isovist level; (3) the living environment and cultural differences play an important role in the final result, i.e. people in Europe prefer relatively closed spaces while people in Hong Kong feel stress when the space is highly enclosed.

Suggested Citation

  • Luyao Xiang & Georgios Papastefanou & Edward Ng, 2021. "Isovist indicators as a means to relieve pedestrian psycho-physiological stress in Hong Kong," Environment and Planning B, , vol. 48(4), pages 964-978, May.
    • Handle: RePEc:sae:envirb:v:48:y:2021:i:4:p:964-978
    DOI: 10.1177/2399808320916768
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    Cited by:

    1. Xin Jin, 2023. "A Review of Cityscape Research Based on Dynamic Visual Perception," Land, MDPI, vol. 12(6), pages 1-14, June.
    2. Yuhan Shao & Yuting Yin & Zhenying Xue & Dongbo Ma, 2023. "Assessing and Comparing the Visual Comfort of Streets across Four Chinese Megacities Using AI-Based Image Analysis and the Perceptive Evaluation Method," Land, MDPI, vol. 12(4), pages 1-18, April.

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