Race, segregated urban mobility, and socioeconomic ascent: A neighborhood network approach

Past research on neighborhood ascent—socioeconomic increases among residents and housing—focuses on residential environments, overlooking how connections beyond their boundaries influence neighborhood change. Using geocoded tweets from over 375,000 Twitter users in the 50 most populous US cities, we explore how a city’s mobility network relates to neighborhood socioeconomic (SES) ascent from 2010 to 2019—whether ascent is more likely in cities more or less structurally connected via residents’ routine travels. We find that neighborhoods located in cities with greater racially segregated mobility, particularly initially lower-SES neighborhoods, are more likely to ascend compared to those in cities where residents more frequently visit neighborhoods of different racial compositions than their own. While ascent patterns are similar across White and Hispanic neighborhoods, regardless of city type, neighborhoods with no racial majority are more likely to ascend in cities with greater segregated mobility. Black neighborhoods are least likely to ascend, underscoring how deeply entrenched racial hierarchies continue to shape neighborhood trajectories. Our results highlight broader urban dynamics structuring neighborhood ascent, revealing how stratification processes extend well beyond where people live.

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Publication Details

Journal
Urban Studies
Published
2026-01-30
DOI
https://doi.org/10.1177/00420980251408585
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Race, segregated urban mobility, and socioeconomic ascent: A neighborhood network approach

Jennifer Candipan, Noli Brazil
Urban Studies
Human Mobility and Location-Based Analysis
article

Race, segregated urban mobility, and socioeconomic ascent: A neighborhood network approach

Jennifer Candipan, Noli Brazil
article en

Abstract

Past research on neighborhood ascent—socioeconomic increases among residents and housing—focuses on residential environments, overlooking how connections beyond their boundaries influence neighborhood change. Using geocoded tweets from over 375,000 Twitter users in the 50 most populous US cities, we explore how a city’s mobility network relates to neighborhood socioeconomic (SES) ascent from 2010 to 2019—whether ascent is more likely in cities more or less structurally connected via residents’ routine travels. We find that neighborhoods located in cities with greater racially segregated mobility, particularly initially lower-SES neighborhoods, are more likely to ascend compared to those in cities where residents more frequently visit neighborhoods of different racial compositions than their own. While ascent patterns are similar across White and Hispanic neighborhoods, regardless of city type, neighborhoods with no racial majority are more likely to ascend in cities with greater segregated mobility. Black neighborhoods are least likely to ascend, underscoring how deeply entrenched racial hierarchies continue to shape neighborhood trajectories. Our results highlight broader urban dynamics structuring neighborhood ascent, revealing how stratification processes extend well beyond where people live.

Urban Studies
John Brown University (US), University of California, Davis (US)
Openalex Percentile: Top 76%
Human Mobility and Location-Based Analysis
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