Traditional approaches to urban income segregation focus on static residential patterns, often failing to capture the dynamic nature of social mixing at the neighborhood level. Leveraging high-resolution location-based data from mobile phones, we capture the interplay of three different income groups (high, medium, low) based on their daily routines. We propose a three-dimensional space to analyze social mixing, which is embedded in the temporal dynamics of urban activities. This framework offers a more detailed perspective on social interactions, closely linked to the geographical features of each neighborhood. While residential areas fail to encourage social mixing in the nighttime, the working hours foster inclusion, with the city center showing a heightened level of interaction. As evening sets in, leisure areas emerge as potential facilitators for social interactions, depending on urban features such as public transport and a variety of Points Of Interest. These characteristics significantly modulate the magnitude and type of social stratification involved in social mixing, also underscoring the significance of urban design in either bridging or widening socio-economic divides.

翻译：传统的城市收入隔离研究方法主要关注静态居住模式，往往难以捕捉社区层面社会融合的动态特征。利用手机高分辨率位置数据，我们基于不同收入群体（高、中、低）的日常活动轨迹，揭示了三类群体的交互模式。我们提出一个嵌入城市活动时间动态的三维空间分析框架，用于解析社会融合现象。该框架为理解社会互动提供了更精细的视角，并与各社区的地理特征紧密关联。夜间居住区难以促进社会融合，而工作时间则成为包容性增强的时段，城市中心区域呈现出最高水平的互动强度。随着夜幕降临，休闲区域逐渐成为潜在的社会互动促进场所，其效果取决于公共交通与多样化兴趣点等城市特征。这些特征显著调节着社会融合中涉及的社会分层程度与类型，同时突显了城市设计在弥合或扩大社会经济隔阂中的关键作用。