Evidence map›Paper›PMID 38026312›Full record

ArticleFrontiers in public health2023

Impact of quantitative safety targets on road fatality reduction: an empirical support toward governance plan.

Haizhou Cui, Yuliang Guo, Yuchen Li, Jianwei Zhang, Yida Wang, Lin Yang, Jiayi Hu, Hak Kei Wong, Yuxuan Bai, Yang Ma and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

11 authors.

Haizhou Cui *School of Economics, University of Sydney, Camperdown, NSW, Australia.
Yuliang Guo *Division of Arts and Humanities, Las Positas College, Livermore, CA, United States.
Yuchen Li *School of Health Sciences, University of Manchester, Manchester, United Kingdom.
Jianwei Zhang *College of Arts and Sciences, Georgia State University, Atlanta, GA, United States.
Yida Wang *Harris School of Public Policy, University of Chicago, Chicago, IL, United States.
Lin Yang *Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, United States.
Jiayi Hu *Department of Mathematics, Columbia University, New York, NY, United States.
Hak Kei Wong *Faculty of Life Sciences, University College London, London, United Kingdom.
Yuxuan Bai *Department of Biomedical Engineering, University of California at Irvine, Irvine, CA, United States.
Yang MaSchool of Culture, Education, and Human Development, New York University, New York, NY, United States.
Faan ChenSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The role of quantitative target setting has become an important topic in debates on the improvement of road safety performance. Specifically, there are questions regarding the relationship between quantitative safety targets and their actual effects. Although previous studies have provided important insights into this subject, their empirical findings have largely been equivocal, and research on this topic remains inadequate. Methods: Based on panel data representing 20 years of observations from 34 OECD member states, we employed nonlinear and linear panel models to investigate whether and how the attributes of quantitative road safety targets (i.e., target ambition and duration) influence their success (i.e., target completion status and rate). Results: The results indicate that a quantitative target with a higher level of ambition is associated with a lower likelihood and rate of completion, whereas there is no support for a connection between target duration and final completion rate. This suggests that an excessively ambitious target does not necessarily result in better road safety performance and is detrimental to achieving expected fatality reductions. Conclusion: From an empirical perspective, this study revealed a potential interaction effect between quantitative road safety targets and practical fatality reduction performance, providing government officials and policymakers with essential references for future practices on target setting and governance planning in regard to public health.

Indexed as

Accidents, TrafficProbabilitySafetyOECDpanel datapublic healthquantitative targetroad fatalitytarget setting

Identifiers

PMID38026312
PMCPMC10662322

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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.