Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated U.S. metropolitan areas.
- DOI
- 10.1016/j.scs.2022.103869
- Published
- 2022 Jun
- Container
- Sustainable cities and society
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.scs.2022.103869,
title = {Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated U.S. metropolitan areas.},
author = {Li X and Huang X and Li D and Xu Y},
year = {2022},
journal = {Sustainable cities and society},
doi = {10.1016/j.scs.2022.103869},
url = {https://doi.org/10.1016/j.scs.2022.103869}
}RIS
TY - JOUR TI - Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated U.S. metropolitan areas. AU - Li X AU - Huang X AU - Li D AU - Xu Y PY - 2022 JO - Sustainable cities and society DO - 10.1016/j.scs.2022.103869 UR - https://doi.org/10.1016/j.scs.2022.103869 ER -
APA
X, L., X, H., D, L., & Y, X. (2022). Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated U.S. metropolitan areas.. Sustainable cities and society. https://doi.org/10.1016/j.scs.2022.103869
Source records
- pubmed · retrieved 2026-09-25T20:42:53.615Z
- europe-pmc · retrieved 2026-09-25T20:42:53.946Z