Structural inequality shapes the daily rhythm of stationarity and mobility
Human mobility exhibits rhythmic patterns that shape economic activity, social interactions, and access to essential services. Yet, while prior studies focus on spatial movement, the temporal structure of people’s stationarity—the act of dwelling—remains underexplored. Here, we introduce the Stationarity Sinusoidal Stability (STASIS) model to quantify the daily pulse of physical presence. Using three parameters—range, phase angle, and baseline—we show that majority-Black census block groups (CBGs) have smaller daily stationarity ranges, later activity peaks, and lower average home-presence baselines than majority-White and majority-Hispanic CBGs. The Rhythm Stability Index further indicates greater variability in activity timing among CBGs with higher proportions of Black residents, and this variability is associated with CBG-level economic precarity. Using COVID-19 as a stress test, our findings show that temporal stability in daily mobility rhythms differs across CBGs with different racial and Hispanic-origin compositions. The authors model daily routines of rest and activity, revealing that majority-Black communities experience highly volatile schedules. This shows that temporal predictability is a fundamental yet overlooked dimension of social justice.
Authors
- Michael M. Danziger (ORCID: https://orcid.org/0000-0002-2674-0109)
- Zihao Tian (ORCID: https://orcid.org/0000-0003-2600-2103)
- Lixin Tian (ORCID: https://orcid.org/0000-0003-4817-8580)
- Qi Wang (ORCID: https://orcid.org/0000-0001-6804-1173)
- Lixin Tian (ORCID: https://orcid.org/0000-0002-4550-2472)
- Chao Zhang (ORCID: https://orcid.org/0009-0003-1399-290X)
- Wenshan Liu
Institutions
- Jiangsu University (CN)
- Northeastern University (US)
- Nanjing Normal University (CN)
- Hohai University (CN)
- Suzhou University of Science and Technology (CN)
- IBM Research - Haifa (IL)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-07-23
- DOI
- https://doi.org/10.1038/s41467-026-75778-z
- Primary Topic
- Complex Systems and Time Series Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00