PROVIDENCE, R.I. [Brown University] — One thing that decades of social science research has made abundantly clear? Americans in urban areas live in neighborhoods deeply segregated by race — and they always have.

Less clear, however, is whether city-dwellers stay segregated when they leave home and go about their daily routines. That’s a question to which Jennifer Candipan, an assistant professor of sociology at Brown University, was determined to find an answer.

By analyzing geotagged locations for more than 133 million tweets by 375,000 Twitter users in the 50 largest U.S. cities, Candipan and a team of researchers found that in most urban areas, people of different races don’t just live in different neighborhoods — they also eat, drink, shop, socialize and travel in different neighborhoods. 

“Most of us can sense that segregation is about more than where people live — it’s also about how they move,” Candipan said. “With the recent availability of data from global positioning systems, satellite imaging and social media, we’ve been able to start quantifying that segregated movement in cities. In combination with existing measures, we’ve been able to provide a fuller picture of racial inequality and segregation in America’s cities.” 

Candipan, who is affiliated with Brown’s Population Studies and Training Center, teamed with Harvard University social scientists Nolan Edward Phillips, Robert J. Sampson and Mario Small on the study, and the  results of their analysis were published on Wednesday, Feb. 10, in Urban Studies. 

Candipan said that hundreds of studies, including two of her own published in Urban Affairs Review and Urban Studies, have demonstrated that for generations, racist hiring practices, housing policies and social settings have kept people of color — particularly Black and Hispanic people — residentially separated from whites. But before the proliferation of mobile devices, it was relatively unknown whether that separation extended to people’s regular movements. Candipan is part of a new wave of social science researchers who are using data collected from millions of smartphones and wearable devices to uncover and solve social inequities.

“It’s an exciting time in research: Not only do we have location data we didn’t have before, but we also have computing capabilities to process that data and perform analyses,” Candipan said. “We can now answer questions about segregation and mobility in a systematic way and offer new metrics that can be used in future research.”

Using data collected between 2013 and 2015 from Twitter — where millions of urban Americans leave behind valuable clues about where they eat lunch, work out and socialize each time they post a tweet — Candipan and her colleagues developed what they called a Segregated Mobility Index, or SMI, for each of 50 cities in the U.S. Candipan explained that each city scored somewhere between 0 and 1 on the SMI. If a city were to score 0, it would indicate total interconnectedness, with residents regularly visiting neighborhoods that don’t resemble the racial and ethnic composition of their own with a frequency that corresponds with the diversity of the city. If a city were to score 1, it would indicate total racial segregation, with residents failing to visit any neighborhood that doesn’t resemble the racial makeup of their own.

The team found that cities with the highest SMIs — in other words, the highest levels of segregated movement — were those with large populations of Black residences and troubled legacies of racial conflict, including Cleveland, Philadelphia and Atlanta. Detroit’s SMI was the highest at 0.5. By contrast, the cities with the lowest SMIs tended to have proportionally smaller Black and Hispanic populations and proportionally larger white populations: Denver, Minneapolis, Seattle. Portland’s was the lowest at 0.11. SMIs of the largest, most racially diverse American cities, including New York, Los Angeles and Chicago, fell somewhere in the middle.