Evidence map›Paper›PMID 41359844›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Can speed cameras make streets safer? Quasi-experimental evidence from New York City.

Aaron Stagoff-Belfort, Jonathan Ben-Menachem, Brenden Beck

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Can speed cameras make streets safer? Quasi-experimental evidence from New York City.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

3 authors.

Aaron Stagoff-BelfortDepartment of Sociology, University of Chicago, Chicago, IL 60637.ORCID 0009-0002-9522-6143
Jonathan Ben-MenachemDepartment of Sociology, Columbia University, New York, NY 10027.ORCID 0000-0002-8092-0848
Brenden BeckSchool of Criminal Justice, Rutgers University, Newark, NJ 07102.ORCID 0000-0002-4568-7796

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Each year, approximately 40,000 people die in vehicle collisions in the United States, generating $340 billion in economic costs. To make roads safer without expanding police contact, many cities have turned to automated traffic enforcement, cameras that detect and fine speeding motorists. Does automated enforcement reduce vehicle collisions and injuries? Many previous studies are limited to correlational evidence. By contrast, this study estimates the causal effect of automated enforcement on road safety in a difference-in-differences design. We exploit the staggered rollout of 2,000 speed cameras across New York City between 2014 and 2023, combining data on 700,000 collisions and 200,000 injuries with data on 18 million tickets issued. We find that cameras reduce collisions and injuries by 5 and 2.5% per month on average, respectively. Cumulatively, over the seven months following their introduction, collisions declined by 30% and injuries by 16%.

Indexed as

Accidents, TrafficAutomobile DrivingLaw EnforcementPhotographySafetyHumansNew York Cityautomationcrasheslaw enforcementspeed camerastickets

Identifiers

PMID41359844
PMCPMC12718322

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.