Abstract Greenery and open spaces play significant roles in environmentally sustainable societies, providing urban ecosystem services and economic benefits that reduce urban poverty. Current urban poverty research has solely focused on top-down observations or direct human exposure to greenery and open spaces and has failed to sense landscape characteristics, including occupation and inequality, representing the social attributes of urban poverty. This paper demonstrates the potential to better understand certain social characteristics, including occupation and inequality between urban greenery and open spaces, and to further investigate their relationship with urban poverty. Percentage and aggregation indicators are proposed based on street view images to estimate the occupation and inequality between human perception-based greenery and open spaces. The relationship between human perception and urban poverty is accordingly analysed using geographically weighted regression (GWR). The GWR model results attain an R-squared value of 0.583 and further reveal that the relationships between human perception-based landscapes and urban poverty are spatially non-stationary, indicating varying relationships across space. This implication leads to an improved understanding of the relationship between greenery and open-space landscapes and living conditions and to further allowing effective policies to help identify deprived areas.

中文翻译：

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感知城市贫困：基于人类感知的绿化和开放空间景观的视角

摘要 绿化和开放空间在环境可持续社会中发挥着重要作用，提供城市生态系统服务和经济利益，减少城市贫困。当前的城市贫困研究仅关注自上而下的观察或人类直接接触绿地和开放空间，未能感知代表城市贫困社会属性的景观特征，包括职业和不平等。本文展示了更好地了解某些社会特征的潜力，包括城市绿地和开放空间之间的职业和不平等，并进一步研究它们与城市贫困的关系。基于街景图像提出百分比和聚合指标，以估计基于人类感知的绿地和开放空间之间的占用和不平等。因此，使用地理加权回归 (GWR) 分析了人类感知与城市贫困之间的关系。GWR 模型结果达到 0.583 的 R 平方值，并进一步揭示了基于人类感知的景观与城市贫困之间的关系在空间上是非平稳的，表明跨空间的关系不同。这意味着更好地了解绿化与开放空间景观和生活条件之间的关系，并进一步允许有效的政策来帮助识别贫困地区。因此，使用地理加权回归 (GWR) 分析了人类感知与城市贫困之间的关系。GWR 模型结果达到 0.583 的 R 平方值，并进一步揭示了基于人类感知的景观与城市贫困之间的关系在空间上是非平稳的，表明跨空间的关系不同。这意味着更好地了解绿化与开放空间景观和生活条件之间的关系，并进一步允许有效的政策来帮助识别贫困地区。因此，使用地理加权回归 (GWR) 分析了人类感知与城市贫困之间的关系。GWR 模型结果达到 0.583 的 R 平方值，并进一步揭示了基于人类感知的景观与城市贫困之间的关系在空间上是非平稳的，表明跨空间的关系不同。这意味着更好地了解绿化与开放空间景观和生活条件之间的关系，并进一步允许有效的政策来帮助识别贫困地区。