Evidence map›Paper›PMID 42380400›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2026

The Impact of Streetlight Placement on Trends and Disparities in Pedestrian-Motor Vehicle Crashes.

Cassandra Peitzman, Kanglin Chen, Kori S Zachrison, Margaret Samuels-Kalow

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 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

4 authors.

Cassandra PeitzmanDepartment of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, 10 Vining Street, Neville House, Boston, MA, 02115, USA. cpeitzman@mgb.org.ORCID http://orcid.org/0009-0000-4085-5255
Kanglin ChenGovernment Department, Faculty of Arts and Sciences, Center for Geographic Analysis, Harvard University, Harvard CGIS South Building, 1737 Cambridge St., Cambridge, MA, USA.
Kori S ZachrisonDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, 125 Nashua St, Boston, MA, 02114, USA.
Margaret Samuels-KalowDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, 125 Nashua St, Boston, MA, 02114, USA.

Funding

Training Program in Resuscitation ScienceT32HL155020 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Michael William Donnino, Robert Yeh · 2021 to 2026
$2.6M
NHLBI NIH HHS 5T32HL155020-04NHLBI NIH HHS T32 HL155020
6 · The paper itself

Abstract

Pedestrian-motor vehicle crashes are a major cause of preventable injury in urban environments. They have increased markedly over the past several decades, especially overnight, and with a disproportionate impact on pedestrians of color. Streetlights represent a potential tool to combat these trends, but empirical studies of their relationship with pedestrian trauma are limited. We use geospatial data from Boston (2016-2023) to assess the relationship between streetlight density (lights/road kilometer) by census tract on (1) pedestrian crashes, (2) changes in crash rates over time, (3) racial disparities in crash incidence, and (4) proportion of crashes occurring overnight. Pedestrian crashes decreased from 2016 to 2023 from 616 (0.55/km) to 421 (0.37/km), with higher streetlight densities associated with greater overall reductions (an additional -0.002 crashes/km/year per streetlight/km (95% CI [-0.003, -0.001]). Persistent racial disparities were observed, with 0.04 additional crashes/km/year (95% CI [0.02, 0.06]) per 10% residents of color. However, this association decreased by 0.004 crashes/km/year (95% CI [-0.01, -0.001]), and higher streetlight densities were associated with greater reductions (additional annual decrease of 0.0004 crashes/km/year for every streetlight/km (95% CI [-0.001, -0.0001]). Finally, the proportion of crashes occurring overnight increased from 37.6% to 45.1%. Streetlight density was negatively associated with overnight timing (adjusted odds ratio of 0.991; 95% CI [0.986, 0.997] per streetlight/km) but had no relationship with the time trend. We conclude that there may be a beneficial relationship between streetlight density and pedestrian safety, where census tracts with higher streetlight densities demonstrated greater improvements in overall crash rates and racial disparities.

Indexed as

Accidents, TrafficLightingPedestriansBostonHumansAccidental InjuryInjury preventionMotor vehicle crashPedestrianRoad safetyStreetlightTrauma

Identifiers

PMID42380400
PMCPMC13525136

What OpenQuestion holds

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Registered trials

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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.