Evidence map›Paper›PMID 32825619›Full record

ArticleInternational journal of environmental research and public health2020

Improving Aviation Safety through Modeling Accident Risk Assessment of Runway.

Yaser Yousefi, Nader Karballaeezadeh, Dariush Moazami, Amirhossein Sanaei Zahed, Danial Mohammadzadeh S, Amir Mosavi

Abstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Yaser YousefiSchool of Civil Engineering, Iran University of Science and Technology, Tehran P.O. Box 16765-163, Iran.
Nader KarballaeezadehFaculty of Civil Engineering, Shahrood University of Technology, Shahrood P.O. Box 3619995161, Iran.
Dariush MoazamiDepartment of Civil Engineering, Faculty of Montazeri, Khorasan Razavi Branch, Technical and Vocational University (TVU), Mashhad P.O. Box 9176994594, Iran.
Amirhossein Sanaei ZahedDepartment of Elite Relations with Industries, Khorasan Construction Engineering Organization, Mashhad P.O. Box 9185816744, Iran.
Danial Mohammadzadeh SDepartment of Elite Relations with Industries, Khorasan Construction Engineering Organization, Mashhad P.O. Box 9185816744, Iran.
Amir MosaviFaculty of Civil Engineering, Technische Universität Dresden, 01069 Dresden, Germany.ORCID 0000-0003-4842-0613

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exponential increase in aviation activity and air traffic in recent decades has raised several public health issues. One of the critical public health concerns is runway safety and the increasing demand for airports without accidents. In addition to threatening human lives, runway accidents are often associated with severe environmental and pollution consequences. In this study, a three-step approach is used for runway risk assessment considering probability, location, and consequences of accidents through advanced statistical methods. This study proposes novel models for the implementation of these three steps in Iran. Data on runway excursion accidents were collected from several countries with similar air accident rates. The proposed models empower engineers to advance an accurate assessment of the accident probability and safety assessment of airports. For in-service airports, it is possible to assess existing runways to remove obstacles close to runways if necessary. Also, the proposed models can be used for preliminary evaluations of developing existing airports and the construction of new runways.

Indexed as

Accidents, AviationAviationRisk AssessmentSafetyAccidentsHumansIranaccident injuries preventionaccident modelingaccident researchaccident risk assessmentairplane collisionairport designairport safetyair trafficaviation safetydigital healthmobilitypublic healthrunwayrunway excursiontransportation

Identifiers

PMID32825619
PMCPMC7504454

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.