Department of Computer Science, University of Exeter, Exeter, UK.
Department of Physics and Astronomy, University of Rochester, Rochester, NY, 14627, USA.
Sci Rep. 2021 Apr 21;11(1):8616. doi: 10.1038/s41598-021-87407-4.
Given the rapid recent trend of urbanization, a better understanding of how urban infrastructure mediates socioeconomic interactions and economic systems is of vital importance. While the accessibility of location-enabled devices as well as large-scale datasets of human activities, has fueled significant advances in our understanding, there is little agreement on the linkage between socioeconomic status and its influence on movement patterns, in particular, the role of inequality. Here, we analyze a heavily aggregated and anonymized summary of global mobility and investigate the relationships between socioeconomic status and mobility across a hundred cities in the US and Brazil. We uncover two types of relationships, finding either a clear connection or little-to-no interdependencies. The former tend to be characterized by low levels of public transportation usage, inequitable access to basic amenities and services, and segregated clusters of communities in terms of income, with the latter class showing the opposite trends. Our findings provide useful lessons in designing urban habitats that serve the larger interests of all inhabitants irrespective of their economic status.
鉴于最近城市化进程的迅速发展，更好地了解城市基础设施如何调节社会经济互动和经济系统至关重要。虽然位置感知设备的可及性以及人类活动的大规模数据集推动了我们对这方面的理解，但对于社会经济地位与其对运动模式的影响之间的联系，特别是不平等的作用，仍存在较少共识。在这里，我们分析了全球流动性的大量聚合和匿名摘要，并研究了美国和巴西的一百个城市中社会经济地位与流动性之间的关系。我们发现了两种关系，要么存在明显的联系，要么几乎没有相互依存关系。前者往往以低水平的公共交通使用率、基本设施和服务的不平等获取以及收入方面的社区隔离集群为特征，而后者则呈现出相反的趋势。我们的研究结果为设计城市栖息地提供了有用的经验教训，这些栖息地服务于所有居民的更大利益，而不论其经济地位如何。
