Mobility patterns are associated with experienced income segregation in large US cities
Related Experiment Video
Updated: Oct 26, 2025

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
Published on: October 29, 2016
Esteban Moro1,2, Dan Calacci3, Xiaowen Dong3,4
1Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA. esteban.moroegido@gmail.com.
Abstract:
Traditional understanding of urban income segregation is largely based on static coarse-grained residential patterns. However, these do not capture the income segregation experience implied by the rich social interactions that happen in places that may relate to individual choices, opportunities, and mobility behavior. Using a large-scale high-resolution mobility data set of 4.5 million mobile phone users and 1.1 million places in 11 large American cities, we show that income segregation experienced in places and by individuals can differ greatly even within close spatial proximity. To further understand these fine-grained income segregation patterns, we introduce a Schelling extension of a well-known mobility model, and show that experienced income segregation is associated with an individual's tendency to explore new places (place exploration) as well as places with visitors from different income groups (social exploration). Interestingly, while the latter is more strongly associated with demographic characteristics, the former is more strongly associated with mobility behavioral variables. Our results suggest that mobility behavior plays an important role in experienced income segregation of individuals. To measure this form of income segregation, urban researchers should take into account mobility behavior and not only residential patterns.
Related Concept Videos
Outliers and Influential Points
Segregation in Fresh Concrete
Stereotypes, Prejudice, and Discrimination
Close Relationships and Culture
Skewness
The longer the tail of the plot on one side, the more skewed it is. The skewness of a data set’s values suggests that the measures of central tendency...
Applications of Life Tables

