  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.
