Evidence map›Paper›PMID 32947935›Full record

ArticleInternational journal of environmental research and public health2020

An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement.

Wafa Boulagouas, Susana García-Herrero, Rachid Chaib, Juan Diego Febres, Miguel Ángel Mariscal, Mébarek Djebabra

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.5field-weighted citation impact, top 12% of its field
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

6 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Effects of Mobile Phone Use on Driving Performance: An Experimental Study of Workload and Traffic Violations.International journal of environmental research and public health · 2021
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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

6 authors at 4 institutions in 3 countries.

Wafa BoulagouasLaboratory of Transportation Engineering and Environment, Department of Transportation Engineering, Faculty of Technology Sciences, University of Mentouri, Constantine 1, Constantine 25017, Algeria.ORCID 0000-0002-3444-3219
Susana García-HerreroEscuela Politécnica Superior, University of Burgos, 09006 Burgos, Spain.ORCID 0000-0002-8061-9537
Rachid ChaibLaboratory of Transportation Engineering and Environment, Department of Transportation Engineering, Faculty of Technology Sciences, University of Mentouri, Constantine 1, Constantine 25017, Algeria.ORCID 0000-0002-6242-1527
Juan Diego FebresDepartment of Chemistry and Exact Sciences, Universidad Técnica Particular de Loja, Loja 110107, Ecuador.ORCID 0000-0001-6718-5853
Miguel Ángel MariscalEscuela Politécnica Superior, University of Burgos, 09006 Burgos, Spain.ORCID 0000-0002-7897-9891
Mébarek DjebabraLaboratory of Industrial Prevention Research, Health and Industrial Safety Institute, University of Batna 2, Batna 05078, Algeria.ORCID 0000-0002-0242-8903
Universidad de Burgos · ESUniversity Frères Mentouri Constantine 1 · DZUniversidad Técnica Particular de Loja · ECUniversity of Batna 1 · DZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Road traffic plays a vital role in countries' economic growth and future development. However, traffic accidents are considered a major public health issue affecting humankind. Despite efforts by governments to improve traffic safety, the misalignment between the policy efforts and on-ground infringements, distractions and breaches reflect the regulatory failure. This paper uses the Bayesian network method to investigate unsafe behaviors and traffic accidents involving unlicensed drivers as a perspective for the regulatory alignment assessment. The findings suggest that: (1) unlicensed drivers are more likely to have unsafe driving behaviors; (2) the probability of being involved in a severe traffic accident increases when the drivers are unlicensed and decreases in the case of licensed drivers; (3) young drivers are noticeably more likely to engage in unsafe behaviors, usually leading to serious injuries and deaths, when their driving licenses are invalid; (4) women are more likely to engage in right-of-way violations and to have collisions with no serious injuries, contrary to unlicensed men drivers, who are involved in other types of traffic accidents resulting in serious injuries.

Indexed as

Accidents, TrafficAutomobile DrivingText MessagingAdultAgedBayes TheoremFemaleHumansLicensureMaleMiddle AgedPublic HealthYoung AdultaccidentsalignmentBayesianbehaviorsdriversnetworkregulatorytrafficunlicensedunsafe

Identifiers

PMID32947935
PMCPMC7560083
OpenAlexW3086573645

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.