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Relationship between predictors of visual preference and restorative components of the urban natural landscapes

机译:视觉偏好预测因子与城市自然景观恢复性成分之间的关​​系

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The role of scenic landscapes in restoring human mental fatigue has begun to receive attention from landscape researchers. However, little is known about the positive role of visually-preferred landscapes on restorative environments and in improving the mental fatigue of people. This study attempted to determine the relationship between the predictors of preference and restorative components of urban natural landscapes. In an experimental study, 120 participants from three departments in University Putra Malaysia rated the predictors of preference and the restorative components of 12 color slides of urban natural landscapes. The results of this study showed that the predictors of preference, except for “Legibility”, positively explained restorative variables. “Mystery” and “Complexity” were found as the most effective variable to increase “Fascination”, while “Coherence” increased “Being away”. The results of this study may be of significant benefit to city planners, designers and developers, with regards to the influence of landscape characteristics in increasing the perceived restorativenss of urban landscapes and to consider them for designing new landscapes or improving existing landscapes in cities.
机译:风景名胜景观在恢复人类精神疲劳中的作用已开始受到风景名胜研究人员的关注。但是,人们对视觉上偏爱的景观在恢复性环境和改善人们的精神疲劳方面所起的积极作用知之甚少。这项研究试图确定偏好的预测因素与城市自然景观的恢复性成分之间的关​​系。在一项实验研究中,来自马来西亚布特拉大学三个部门的120名参与者对12种城市自然景观彩色幻灯片的偏好预测因子和恢复性成分进行了评估。这项研究的结果表明,除“易行性”外,偏好的预测因素对恢复变量具有积极的解释作用。发现“神秘”和“复杂性”是增加“迷恋”的最有效变量,而“连贯性”则增加了“远离”。这项研究的结果对于城市规划者,设计师和开发商而言,在景观特征对增加人们对城市景观的修复性影响以及考虑将其用于设计新景观或改善城市现有景观方面的影响方面可能具有重大意义。

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