Evidence map›Paper›PMID 41963392›Full record

ArticleScientific reports2026

Halving global road traffic deaths through targeted mitigation practices by 2050.

Shengyong Zou, Fengjun Lv, Yinhua Qian, Chao Han, Jinlei Zhu

Abstract read
In one paragraph

Article in Scientific reports, 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

5 authors.

Shengyong ZouCollege of Road and Bridge, ZheJiang Institute of Communications, Hangzhou, 311112, China. zoudao@163.com.
Fengjun LvCollege of Transportation Management, ZheJiang Institute of Communications, Hangzhou, China.
Yinhua QianCollege of Road and Bridge, ZheJiang Institute of Communications, Hangzhou, 311112, China.
Chao HanCollege of Transportation Management, ZheJiang Institute of Communications, Hangzhou, China.
Jinlei ZhuCollege of Road and Bridge, ZheJiang Institute of Communications, Hangzhou, 311112, China.

Funding

Research Project of Department of Science and Technology of Zhejiang Province 2025C25009
6 · The paper itself

Abstract

Road traffic deaths (RTD) are the leading cause of mortality and represent a serious threat to global health and sustainable development. By analyzing data from more than 190 countries covering the period from 2000 to 2021, we assessed the historical trends and key influencing factors of RTD across different regions and income groups. Global RTD rose from 1.16 million in 2000 to 1.28 million in 2012, then slightly declined to 1.17 million by 2021. Africa and low-income countries continue to bear the highest burdens. GDP per capita emerged as the most influential factor, reflecting the role of economic growth in improving road safety infrastructure, healthcare access, and public awareness. Targeted mitigation practices including stronger education, expanded emergency care, coupled with the adoption of WHO best practices could potentially halve global RTD from 1.43 million to 0.74 million by 2050 under SSP2 scenario. The greatest reductions are anticipated in lower-middle-income and low-income countries, where the need for intervention is most urgent. These findings highlight the critical importance of integrated, evidence-based mitigation strategies that promote safe mobility, particularly in resource-constrained settings, and emphasize road safety as a fundamental component of global sustainability and public health efforts.

Indexed as

Influencing factorsMitigationProjectionsRoad safetySustainable development

Identifiers

PMID41963392
PMCPMC13230775

What Socratic 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 Socratic graph.