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：传统城市收入隔离研究方法侧重于静态居住模式，往往难以捕捉社区层面社会混合的动态特征。依托手机高分辨率位置数据，我们基于三个不同收入群体（高、中、低）的日常活动轨迹，揭示了其互动关系。本文提出一个嵌入城市活动时间动态的三维空间分析框架，用于解析社会混合现象。该框架提供了与社会互动相关的精细化视角，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混合，而工作时段则呈现包容性增强趋势，城市核心区表现出更高水平的社交互动。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，其作用受公共交通及多样化兴趣点等城市特征调控。这些要素显著影响社会混合中社会分层程度与类型，同时凸显了城市设计在弥合或加剧社会经济差距中的关键作用。