Evidence map›Paper›PMID 39867654›Full record

ArticleCities (London, England)2025

The long-run effect of historical redlining practices on social vulnerability in U.S. cities.

Yujian Lu, Yan Lin, Natasha Howard, Christopher P Brown, Xi Gong

Abstract read
In one paragraph

Article in Cities (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
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

5 authors.

Yujian LuDepartment of Geography & Environmental Studies, University of New Mexico, Albuquerque, New Mexico, 87131, USA.
Yan LinDepartment of Geography & Environmental Studies, University of New Mexico, Albuquerque, New Mexico, 87131, USA.
Natasha HowardDepartment of Geography & Environmental Studies, University of New Mexico, Albuquerque, New Mexico, 87131, USA.
Christopher P BrownDepartment of Geography & Environmental Studies, Spatial Applications and Research Center, New Mexico State University, Las Cruces, New Mexico, 88011, USA.
Xi GongDepartment of Geography & Environmental Studies, University of New Mexico, Albuquerque, New Mexico, 87131, USA.

Funding

WOMEN'S CANCERS RESEARCH PROGRAMP30CA118100 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Yolanda Sanchez · 2005 to 2026
$57.1M
UNM Metals Exposure and Toxicity Assessment on tribal Lands in the Southwest (METALS) Superfund Research ProgramP42ES025589 · NIEHS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CAMPEN, MATTHEW J · 2017 to 2025
$16.4M
Role of open dumping and open burning of solid waste in the generation of microplastics and products of incomplete combustion on tribal landsP50MD015706 · NIMHD · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI GONZALEZ ESTRELLA, JORGE · 2020 to 2024
$6.8M
Pilot Project CoreP30ES032755 · NIEHS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BLOSSOM, SARAH J · 2022 to 2025
$5.2M
UNM Climate Change and Health for the Alliance and Novelty of Geospatial and Exposure Science (CHANGES) CenterP20NR021824 · NINR · UNIVERSITY OF NEW MEXICO · PI LENG, SHUGUANG · 2024 to 2024
$3.8M
Impact of Macrophage Carbon Load and Epigenetic Aging on Lung Function Decline and MortalityR01ES035421 · NIEHS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Steven A Belinsky, Shuguang Leng · 2024 to 2026
$2.2M
NCI NIH HHS P30 CA118100NIEHS NIH HHS P30 ES032755NIEHS NIH HHS P42 ES025589NIEHS NIH HHS R01 ES035421NIMHD NIH HHS P50 MD015706NINR NIH HHS P20 NR021824
6 · The paper itself

Abstract

Historical redlining practices in the United States date back to the 1930s and have continued to impact cities socially, environmentally, and economically since then. This study explores current social vulnerability inequity among former HOLC (Home Owners' Loan Corporation) neighborhoods with four color-coded grades in 196 U.S. digitized cities. Social vulnerability measurements for each historical HOLC neighborhood were calculated using 2018 census tract-level social vulnerability data through areal apportionment. Kruskal-Wallis tests were employed to compare four grades of former HOLC neighborhoods regarding overall social vulnerability index (SVI), four thematic SVIs (Social economic status, Household composition and disability, Minority status and language, and Housing type and transportation), and SVIs for fifteen social vulnerability factors. After applying multiple comparison corrections, the results indicate significant differences among four HOLC grades concerning overall social vulnerability, four themes, and most of social vulnerability factors. In general, grade A (green) neighborhoods exhibit the lowest vulnerability, while grade D (red) neighborhoods have the highest vulnerability. A similar pattern of social vulnerability inequity persists even after adjusting for inter-city differences in baseline social factors using the city-normalized SVI (CSVI). This finding suggests that urban planners and policymakers should work to reduce social vulnerability inequity across neighborhoods of different grades.

Indexed as

redliningresidential segregationsocial vulnerabilitystructural racism

Identifiers

PMID39867654
PMCPMC11759317

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.