Evidence map›Paper›PMID 36214281›Full record

ArticleAmerican journal of community psychology2023

Community engagement, greening, and violent crime: A test of the greening hypothesis and Busy Streets.

Catherine H Gong, Gregory Bushman, Bernadette C Hohl, Michelle C Kondo, Patrick M Carter, Rebecca M Cunningham, Laney A Rupp, Alison Grodzinski, Charles C Branas, Kevin J Vagi and 1 more

Abstract read
In one paragraph

Article in American journal of community psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Mural Art and Youth Victimization of Firearm Violence: A Quasi-Experimental Analysis.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
    Article
  3. Article
  4. Kernel Density Bandwidth Specification in Neighborhood Violence Prevention Research.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
  5. The Public Health Approach to Preventing Community Violence.Public health reports (Washington, D.C. : 1974) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

11 authors.

Catherine H GongDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Gregory BushmanDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Bernadette C HohlDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, USA.
Michelle C KondoUSDA Forest Service, Northern Research Station, Philadelphia, Pennsylvania, USA.
Patrick M CarterDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Rebecca M CunninghamDepartment of Emergency Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Laney A RuppDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Alison GrodzinskiDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Charles C BranasDepartment of Epidemiology, Columbia Mailman School of Public Health, New York, New York, USA.
Kevin J VagiDivision of Violence Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Marc A ZimmermanDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.

Funding

Michigan Youth Violence Prevention Center Community Engagement and RevitalizationU01CE002698 · CE · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZIMMERMAN, MARC A · 2015 to 2020
$7.2M
ACL HHS U01CE002698Intramural CDC HHS CC999999NCCDPHP CDC HHS U48 DP006397NCIPC CDC HHS U01 CE002698
6 · The paper itself

Abstract

Researchers have documented that vacant lot greening can reduce community-level crime and violence. Busy Streets Theory (BST) suggests that residents who are involved in the greening process can help to improve physical environments and build social connections that deter crime and violence. Yet few researchers have explored how community engagement in the greening process may affect crime and violence outcomes. We applied BST to test the effects of community-engaged vacant lot greening compared to vacant lots that received either professional mowing or no treatment, on the density of violent crime around study lots. Using mixed effects regression models, we analyzed trends in violent crime density over the summer months from 2016 to 2018 at 2102 street segments in Youngstown, OH. These street segments fell within 150 meters of an intervention parcel that was classified as one of three conditions: community-engaged maintenance, professional mowing, or no treatment (control). We found that street segments in areas receiving community-engaged maintenance or professional mowing experienced greater declines in violent crime density than street segments in areas receiving no treatment, and more decline occurred in the community-engaged condition compared to the professional mow condition. Our findings support BST and suggest that community-engaged greening of vacant lots in postindustrial cities with a concentrated vacancy can reduce crime and violence.

Indexed as

Residence CharacteristicsViolenceCitiesCrimeEnvironmentHumanscommunity engagementcrime preventiongreeningviolence

Identifiers

PMID36214281
PMCPMC10893845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.