Evidence map›Paper›PMID 36468135›Full record

ArticleHeliyon2022

Methodology for assessing the risk of incidents during passenger road transportation using the functional resonance analysis method.

Oleg Bazaluk, Larysa Koriashkina, Serhii Cheberiachko, Oleg Deryugin, Mykola Odnovol, Vasyl Lozynskyi, Olha Nesterova

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Oleg BazalukBelt and Road Initiative Institute for Chinese-European Studies (BRIICES), Guangdong University of Petrochemical Technology, Maoming, China.
Larysa KoriashkinaDepartment of System Analysis and Control, Dnipro University of Technology, Dnipro, Ukraine.
Serhii CheberiachkoDepartment of Labour Protection and Civil Safety, Dnipro University of Technology, Dnipro, Ukraine.
Oleg DeryuginDepartment of Transportation Management, Dnipro University of Technology, Dnipro, Ukraine.
Mykola OdnovolDepartment of System Analysis and Control, Dnipro University of Technology, Dnipro, Ukraine.
Vasyl LozynskyiDepartment of Mining Engineering and Education, Dnipro University of Technology, Dnipro, Ukraine.
Olha NesterovaDepartment of Translation, Dnipro University of Technology, Dnipro, Ukraine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Safety of passenger road transportation (PRT) is a global problem considered by scientists. The present study is aimed at PRT safety improvement by developing its advanced model with accident risk minimization. Functional Resonance Analysis Method is used to identify factors influencing PRT safety. Accident risk assessment of the combined action of several factors in PRT is based on a phenomenological model. Possible good and bad PRT scenarios were considered differing in the staff professional experience, work shift duration, speed, vehicle service lifetime, and driver's stress load. Method for quantitative assessment of five main functions in PRT with their variability caused by parameters changes was designed. The proposed criteria were used to assess the parameter's deviations from their normative values and determine the major characteristics of each function. The recommendations for monitoring the driver's psychophysiological state at all transportation stages were developed and the relationship of transportation functions characteristics and criteria affecting passenger safety was established. This methodology enables assessing the PRT reliability level at a certain time. The approach allows evaluating the criteria affecting traffic safety, identifying their potential functionally resonant effect for abnormal PRT due to conditional changes; developing mechanisms to reduce accident risks by improving technical and organizational management.

Indexed as

FRAMPassenger transportationReliabilityRiskSafety

Identifiers

PMID36468135
PMCPMC9713334

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.