Patterns of street connectivity and poverty in the US and Mexico are investigated by means of spatial analysis and statistical techniques. The evaluation is conducted at three levels of spatial aggregation: 389 (74) metropolitan areas, 3,106 (2,432) counties (municipalities), and 58,953 (27,413) census tracts of the US (Mexico). The article explores whether the physical configuration of the street network may affect geographical concentration of poverty. To quantitatively measure differences in network patterns, we consider six metrics: street density, intersection density, regularity, betweenness, closeness and information centrality. The results reveal that relationships between connectivity and poverty have opposite signs in the two countries. For example, whereas intersection density and betweenness centrality positively influence the spatial agglomeration of low-income households in the US, the reverse pattern of association is observable in Mexico. Furthermore, differences in street layouts between low-income and high-income neighborhoods are more pronounced among Mexican cities.

通过空间分析和统计技术研究了美国和墨西哥的街道连通性和贫困模式。评估在三个空间聚合层次上进行：美国（墨西哥）的 389（ 74）个大都市区、3,106（2,432）个县（市）和 58,953（27,413）个人口普查区）。文章探讨了街道网络的物理配置是否会影响贫困的地理集中度。为了定量测量网络模式的差异，我们考虑了六个指标：街道密度、交叉口密度、规律性、中介性、紧密性和信息中心性。结果表明，连通性与贫困之间的关系在两国具有相反的迹象。例如，虽然交叉密度和中介中心性对美国低收入家庭的空间集聚有积极影响，但在墨西哥可以观察到相反的关联模式。此外，墨西哥城市中低收入和高收入社区的街道布局差异更为明显。