According to the biophilia hypothesis, humans have evolved to prefer natural environments that are essential to their thriving. With urbanization occurring at an unprecedented rate globally, urban greenspace has gained increased attention due to its environmental, health, and socioeconomic benefits. To unlock its full potential, an increased understanding of greenspace metrics is urgently required. In this first-of-a-kind study, we quantified street-level greenspace using 751 644 Google Street View images and computer vision methods for 125 274 locations in Ireland’s major cities. We quantified population-weighted exposure to greenspace and investigated the impact of greenspace on health and socioeconomic determinants. To investigate the association between greenspace and self-reported health, a negative binomial regression analysis was applied. While controlling for other factors, an interquartile range increase in street-level greenspace was associated with a 2.78% increase in self-reported “good or very good” health [95% confidence interval: 2.25–3.31]. Additionally, we observed that populations in upper quartiles of greenspace exposure had higher levels of income and education than those in lower quartiles. This study provides groundbreaking insights into how urban greenspace can be quantified in unprecedented resolution, accuracy, and scale while also having important implications for urban planning and environmental health research and policy.

中文翻译：

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“亲生物城市”：量化谷歌街景衍生的绿色空间暴露对社会经济因素和自我报告健康的影响

根据亲生物假说，人类已经进化到更喜欢对他们的繁荣至关重要的自然环境。随着全球城市化以前所未有的速度发生，城市绿地因其环境、健康和社会经济效益而受到越来越多的关注。为了充分发挥其潜力，迫切需要加深对绿色空间指标的了解。在这项首创的研究中，我们使用 751,644 张 Google 街景图像和计算机视觉方法对爱尔兰主要城市的 125,274 个地点的街道级绿地进行了量化。我们量化了人口加权的绿地暴露，并调查了绿地对健康和社会经济决定因素的影响。为了研究绿色空间与自我报告健康之间的关联，应用了负二项式回归分析。在控制其他因素的同时，街道绿地的四分位间距增加与自我报告的“良好或非常好”健康状况增加 2.78% 相关 [95% 置信区间：2.25-3.31]。此外，我们观察到绿色空间暴露程度较高的人群的收入和教育水平高于较低四分位数的人群。这项研究为如何以前所未有的分辨率、准确性和规模量化城市绿地提供了开创性的见解，同时也对城市规划和环境健康研究和政策具有重要意义。我们观察到，处于绿色空间暴露程度较高四分位数的人群的收入和教育水平高于较低四分位数人群。这项研究为如何以前所未有的分辨率、准确性和规模量化城市绿地提供了开创性的见解，同时也对城市规划和环境健康研究和政策具有重要意义。我们观察到，处于绿色空间暴露程度较高四分位数的人群的收入和教育水平高于较低四分位数人群。这项研究为如何以前所未有的分辨率、准确性和规模量化城市绿地提供了开创性的见解，同时也对城市规划和环境健康研究和政策具有重要意义。