Economically disadvantaged communities living in neighborhoods with low access to green space are known to experience a heightened burden of health issues, leading to intergenerational well-being problems. However, relatively little is known about the extents and causes of green space inequalities among different social communities. To explore this in the metropolitan Melbourne area, we use the 2016 Census data of equivalised household income and calculate local indicators of spatial association (LISA) between low-income proportion and green space access at a suburb level. We show that the distribution of green space in Melbourne favors more affluent communities, meaning that there are lower concentrations of low-income households in greener areas. The Mann–Whitney U statistics applied to LISA clusters also indicates statistically significant inequity in access to green space for low-income communities. Secondly, the paper shows that low-income households’ relocation and provision of human-modified green space exacerbate inequality in green space access over time. Mobility patterns show the movement of low-income people from high-green areas to low-green areas over time. The spatial analysis of green space types reveals that the location of human-modified green spaces has a significant correlation with (non-randomly distributed) natural green spaces.

众所周知，生活在绿地通行不畅的社区中的经济弱势社区面临着更大的健康问题负担，从而导致代际福祉问题。但是，关于不同社会社区之间绿色空间不平等的程度和原因了解得很少。为了在大都市墨尔本地区探索这一点，我们使用了2016年家庭收入均等化的人口普查数据，并计算了低收入比例和郊区绿色通道之间的空间关联性本地指标（LISA）。我们表明，墨尔本的绿色空间分布有利于更富裕的社区，这意味着在较绿化的区域中低收入家庭的集中度较低。应用于LISA集群的Mann-Whitney U统计还表明，低收入社区在获取绿色空间方面存在统计学上的显着不平等。其次，本文表明，随着时间的流逝，低收入家庭的搬迁和人为改造的绿色空间的提供加剧了绿色空间获取的不平等。流动模式显示了随着时间的推移，低收入人群从高绿地向低绿地的运动。绿地类型的空间分析表明，人类修改后的绿地的位置与自然绿地（非随机分布）具有显着的相关性。流动模式显示了随着时间的推移，低收入人群从高绿地向低绿地的运动。绿地类型的空间分析表明，人类修饰的绿地的位置与自然绿地（非随机分布）具有显着的相关性。流动模式显示了随着时间的推移，低收入人群从高绿地向低绿地的运动。绿地类型的空间分析表明，人类修饰的绿地的位置与自然绿地（非随机分布）具有显着的相关性。