Evidence map›Paper›PMID 41789421›Full record

ArticleTransport policy2026

Racial Segregation, Transportation, and Unemployment Rates in the United States.

Shengxiao Alex Li, Richard Patti, Yuxi Xiong

Abstract read
In one paragraph

Article in Transport policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Shengxiao Alex LiDepartment of Architecture, College of Design and Engineering, National University of Singapore, 4 Architecture Drive, 117566, Singapore.
Richard PattiDepartment of Sociology and Anthropology, University of Mississippi, the United States.
Yuxi XiongDepartment of Land Economy, University of Cambridge, United Kingdom.

Funding

GRADUATE TRAINING IN DEMOGRAPHYT32HD007242 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI MICHEL GUILLOT · 1985 to 2026
$6.6M
NICHD NIH HHS T32 HD007242
6 · The paper itself

Abstract

This study explores the complex relationships among metropolitan- and neighborhood-level racial segregation, transportation, and tract-level employment outcomes using data from over 28,000 census tracts in 95 Metropolitan Statistical Areas (MSAs) in the United States. Results from a series of multilevel models indicate that the availability of private (but not public) transportation is positively related to employment rate at the census-tract level. We also find census tracts with higher shares of Hispanics and African Americans have higher unemployment rates, but MSA-level dissimilarity is not significantly related to tract-level unemployment. We also determine that there is no moderating effect of MSA-level racial segregation on the relationship between transportation and employment outcomes. Findings reveal the critical role of automobiles in connecting employees to jobs. They further highlight that a reduction in racial segregation at the neighborhood level might benefit employment outcomes at the census tract level.

Indexed as

Automobilesequityjob accessibilitypublic transportationracial segregationunemployment

Identifiers

PMID41789421
PMCPMC12959454

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.