A Quantitative Method for Evaluation of Visual Privacy in Residential Environments
A Quantitative Method for Evaluation of Visual Privacy in Residential Environments
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DOI：
10.3390/buildings11070272
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发表时间：
2021-06
期刊：
影响因子：
3.8
通讯作者：
He Zheng;Bo Wu;Heyi Wei;Jinbiao Yan;Jianfeng Zhu
中科院分区：
文献类型：
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作者：
He Zheng;Bo Wu;Heyi Wei;Jinbiao Yan;Jianfeng Zhu
随着城市地区高层建筑和高密度建筑的迅速扩张，视觉隐私已成为影响人类环境质量的主要问题之一。在过去的几十年里，居民对外界视觉暴露的评估受到了更多的关注。通过引入高密度住宅中公共空间和社区潜在视觉入侵的危害，提出了一种评估视觉隐私的量化指标，即潜在视觉暴露指数(PVEI)。PVEI的计算方法主要包括三个步骤：提取建成环境中的目标和潜在观察者，进行可见性分析和识别可见视线，并结合建筑物层和地面的视线计算每个建筑物洞口的PVEI值。为了验证所提出的PVEI的有效性，对位于香港九龙市中心的一栋建筑样本进行了案例研究。结果符合常识概念，即较低的楼层受到较差的视觉隐私，而建筑中较高的楼层的隐私相对得到很好的保护。然而，中间楼层的居民在视觉隐私方面可能遭受最糟糕的情况。PVEI可作为评估视觉隐私的有用指标，并可为建筑设计、酒店房间选择和建筑管理提供有价值的信息。
With the rapid expansion of high-rise and high-density buildings in urban areas, visual privacy has become one of the major concerns affecting human environmental quality. Evaluation of residents’ visual exposure to outsiders has attracted more attention in the past decades. This paper presents a quantitative indicator; namely, the Potential Visual Exposure Index (PVEI), to assess visual privacy by introducing the damage of potential visual incursion from public spaces and neighborhoods in high-density residences. The method for computing the PVEI mainly consists of three steps: extracting targets and potential observers in a built environment, conducting intervisibility analysis and identifying visible sightlines, and integrating sightlines from building level and ground level to compute the PVEI value of each building opening. To validate the proposed PVEI, a case study with a sample building located at the center of Kowloon, Hong Kong, was evaluated. The results were in accordance with the common-sense notion that lower floors are subjected to poor visual privacy, and privacy is relatively well-preserved in upper floors in a building. However, residents of middle floors may suffer the worst circumstances with respect to visual privacy. The PVEI can be a useful indicator to assess visual privacy and can provide valuable information in architectural design, hotel room selection, and building management.