Abstract The spatial structure of urban areas plays a major role in the daily life of dwellers. The current policy framework to ensure the quality of life of inhabitants leaving no one behind, leads decision-makers to seek better-informed choices for the sustainable planning of urban areas. Thus, a better understanding between the spatial structure of cities and their socio-economic level is of crucial relevance. Accordingly, the purpose of this paper is to quantify this two-way relationship. Therefore, we measured spatial patterns of 31 cities in North Rhine-Westphalia, Germany. We rely on spatial pattern metrics derived from a Local Climate Zone classification obtained by fusing remote sensing and open GIS data with a machine learning approach. Based upon the data, we quantified the relationship between spatial pattern metrics and socio-economic variables related to ‘education’, ‘health’, ‘living conditions’, ‘labor’, and ‘transport’ by means of multiple linear regression models, explaining the variability of the socio-economic variables from 43% up to 82%. Additionally, we grouped cities according to their level of ‘quality of life’ using the socio-economic variables, and found that the spatial pattern of low-dense built-up types was different among socio-economic groups. The proposed methodology described in this paper is transferable to other datasets, levels, and regions. This is of great potential, due to the growing availability of open statistical and satellite data and derived products. Moreover, we discuss the limitations and needed considerations when conducting such studies.

中文翻译：

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从城市空间格局指标估计生活质量维度

摘要 城市地区的空间结构在居民的日常生活中起着重要作用。当前确保居民生活质量的政策框架不让任何人掉队，导致决策者为城市地区的可持续规划寻求更明智的选择。因此，更好地了解城市的空间结构与其社会经济水平之间的关系至关重要。因此，本文的目的是量化这种双向关系。因此，我们测量了德国北莱茵-威斯特法伦州 31 个城市的空间格局。我们依赖于通过将遥感和开放 GIS 数据与机器学习方法相融合而获得的局部气候区分类得出的空间模式指标。根据数据，我们通过多元线性回归模型量化了空间模式指标与与“教育”、“健康”、“生活条件”、“劳动”和“交通”相关的社会经济变量之间的关系，解释了社会的可变性。 - 经济变量从 43% 到 82%。此外，我们使用社会经济变量根据“生活质量”水平对城市进行分组，发现低密度建成类型的空间格局在不同社会经济群体之间存在差异。本文中描述的建议方法可转移到其他数据集、级别和区域。由于开放统计和卫星数据以及衍生产品的可用性不断增加，这具有巨大的潜力。此外，我们讨论了进行此类研究时的局限性和需要考虑的因素。