城市生活环境中的绿化能见度是促进健康和幸福的途径:基于景观分析绘制佛兰德斯(比利时)的空间差异图

Peter Vervoort , Stijn Vanderheiden , Lorenz Hambsch , Lien Poelmans , Frédéric Vandermoere , Ilse Loots
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引用次数: 0

摘要

大量证据表明,绿地与积极的健康结果息息相关。除了公园等专用绿地的可用性以及植被和树木的整体存在外,视觉上接触绿化也被证明对健康非常重要。因此,加强视觉接触绿化可能是促进健康和幸福的途径之一。然而,在区域或国家范围内,对视觉接触绿化方面的差异的了解仍然很少。大多数研究和政策工作都依赖于二维(自上而下)数据,而二维数据往往无法准确捕捉从个人视角(如从家庭内部)可见的绿化量。本研究以 Labib 等人[20]的工作为基础,他们为大曼彻斯特地区(英国)开发了高分辨率(5 米网格)景观绿化可见度指数(VGVI)。通过引入技术改进,大大提高了计算效率,我们扩展了这一方法,为比利时北部地区佛兰德斯绘制了一张全面的 VGVI 地图。由此绘制的地图能够对佛兰德地区的 VGVI 差异进行广泛评估。我们的研究结果揭示了环境分配不公的证据,街区贫困水平与 VGVI 分数之间的强烈负相关(Spearman's Rho = -0.48)证明了这一点。我们进一步探讨了传统的自上而下绿化绘图与 VGVI 之间的异同,后者提供了一个视角。虽然在区域范围内观察到了很强的正相关性(Pearson's r = 0.80),但在地方范围内这种关系就减弱了。我们的研究结果表明,VGVI 分析在较小的地理尺度上尤其有价值,这使得它对于解决个人生活条件差异或针对特定地点(如学校、托儿所、医院、养老院和社区中心)的研究或空间政策尤为重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Greenness visibility in urban living environments as pathway to promote health and well-being: Mapping spatial differentiation in Flanders (Belgium) based on viewshed analysis
A substantial body of evidence links green space to positive health outcomes. Beyond the availability of dedicated green spaces such as parks and the overall presence of vegetation and trees, visual exposure to greenery has also been shown to be important for well-being. Enhancing visual access to greenery may thus represent a pathway to promoting health and well-being. However, at regional or national scales, insights into disparities in visual access to greenery remain scarce. Most research and policy efforts rely on two-dimensional (top-down) data, which often fails to accurately capture the amount of greenery visible from individual perspectives, such as from within homes.
This study builds on the work of Labib et al. [20], who developed a high-resolution (5 m grid) Viewshed Greenness Visibility Index (VGVI) for the Greater Manchester area (UK). By introducing technical improvements that significantly increased computational efficiency, we extended this approach to create a comprehensive VGVI map for Flanders, the northern region of Belgium. The resulting map enabled a broad assessment of VGVI disparities across Flanders. Our findings reveal evidence of distributive environmental injustice, as demonstrated by a strong negative correlation (Spearman's Rho = -0.48) between neighbourhood deprivation levels and VGVI scores. In Flanders, residents of more deprived neighbourhoods are exposed to significantly lower levels of visible greenery.
We further explored the differences and similarities between traditional top-down greenness mapping and VGVI, which provides an eye-level perspective. Although a strong positive correlation was observed at the regional scale (Pearson's r = 0.80), this relationship weakens at the local level. Our findings suggest that VGVI analysis is particularly valuable at smaller geographic scales, making it especially relevant for research or spatial policies that address disparities in individual living conditions or target specific locations, such as schools, nurseries, hospitals, retirement homes, and community centres.
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