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Investigation of risk parameters in road accidents in Aras free zone

The problem of deaths and injury as a result of road accidents is now acknowledged to be a global phenomenon. As a result authorities in virtually all countries of the world are now concerned about the growth in the number of people killed and seriously injured on their roads including Aras free zon...

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Autor principal: Nafezi Alamdari, Mohammadsadegh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kermanshah University of Medical Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187010/
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author Nafezi Alamdari, Mohammadsadegh
author_facet Nafezi Alamdari, Mohammadsadegh
author_sort Nafezi Alamdari, Mohammadsadegh
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description The problem of deaths and injury as a result of road accidents is now acknowledged to be a global phenomenon. As a result authorities in virtually all countries of the world are now concerned about the growth in the number of people killed and seriously injured on their roads including Aras free zone. The objective of the paper was to identify the risk factors that mainly contribute to accident and their impact on road accident. This paper applied logistic regression to accident-related data collected Aras free zone police service, traffic records in order to examine the contributing factors to accident severity. A total of 494 accident data from 2007-2011 was used. The accident severity (dependent variable) in this paper is a dichotomous variable with two categories, Fatal or Non-fatal. Among the variables obtained from police-accident reports, five independent variables namely; gender, time of accident, location of accident and reasons assigned for accident were found to be statistically significant. KEYWORDS: Accident Severity, Logistic Regression, Fatal Accident, Non-Fatal Accident
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spelling pubmed-71870102020-05-01 Investigation of risk parameters in road accidents in Aras free zone Nafezi Alamdari, Mohammadsadegh J Inj Violence Res Oral Presentation The problem of deaths and injury as a result of road accidents is now acknowledged to be a global phenomenon. As a result authorities in virtually all countries of the world are now concerned about the growth in the number of people killed and seriously injured on their roads including Aras free zone. The objective of the paper was to identify the risk factors that mainly contribute to accident and their impact on road accident. This paper applied logistic regression to accident-related data collected Aras free zone police service, traffic records in order to examine the contributing factors to accident severity. A total of 494 accident data from 2007-2011 was used. The accident severity (dependent variable) in this paper is a dichotomous variable with two categories, Fatal or Non-fatal. Among the variables obtained from police-accident reports, five independent variables namely; gender, time of accident, location of accident and reasons assigned for accident were found to be statistically significant. KEYWORDS: Accident Severity, Logistic Regression, Fatal Accident, Non-Fatal Accident Kermanshah University of Medical Sciences 2019-08 /pmc/articles/PMC7187010/ Text en Copyright © 2019, KUMS http://creativecommons.org/licenses/by/3/ This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Oral Presentation
Nafezi Alamdari, Mohammadsadegh
Investigation of risk parameters in road accidents in Aras free zone
title Investigation of risk parameters in road accidents in Aras free zone
title_full Investigation of risk parameters in road accidents in Aras free zone
title_fullStr Investigation of risk parameters in road accidents in Aras free zone
title_full_unstemmed Investigation of risk parameters in road accidents in Aras free zone
title_short Investigation of risk parameters in road accidents in Aras free zone
title_sort investigation of risk parameters in road accidents in aras free zone
topic Oral Presentation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187010/
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