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Improving Aviation Safety through Modeling Accident Risk Assessment of Runway
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504454/ https://www.ncbi.nlm.nih.gov/pubmed/32825619 http://dx.doi.org/10.3390/ijerph17176085 |
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author | Yousefi, Yaser Karballaeezadeh, Nader Moazami, Dariush Sanaei Zahed, Amirhossein Mohammadzadeh S., Danial Mosavi, Amir |
author_facet | Yousefi, Yaser Karballaeezadeh, Nader Moazami, Dariush Sanaei Zahed, Amirhossein Mohammadzadeh S., Danial Mosavi, Amir |
author_sort | Yousefi, Yaser |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7504454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75044542020-09-24 Improving Aviation Safety through Modeling Accident Risk Assessment of Runway Yousefi, Yaser Karballaeezadeh, Nader Moazami, Dariush Sanaei Zahed, Amirhossein Mohammadzadeh S., Danial Mosavi, Amir Int J Environ Res Public Health Article 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. MDPI 2020-08-21 2020-09 /pmc/articles/PMC7504454/ /pubmed/32825619 http://dx.doi.org/10.3390/ijerph17176085 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yousefi, Yaser Karballaeezadeh, Nader Moazami, Dariush Sanaei Zahed, Amirhossein Mohammadzadeh S., Danial Mosavi, Amir Improving Aviation Safety through Modeling Accident Risk Assessment of Runway |
title | Improving Aviation Safety through Modeling Accident Risk Assessment of Runway |
title_full | Improving Aviation Safety through Modeling Accident Risk Assessment of Runway |
title_fullStr | Improving Aviation Safety through Modeling Accident Risk Assessment of Runway |
title_full_unstemmed | Improving Aviation Safety through Modeling Accident Risk Assessment of Runway |
title_short | Improving Aviation Safety through Modeling Accident Risk Assessment of Runway |
title_sort | improving aviation safety through modeling accident risk assessment of runway |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504454/ https://www.ncbi.nlm.nih.gov/pubmed/32825619 http://dx.doi.org/10.3390/ijerph17176085 |
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