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The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies

Road traffic crashes (RTCs) are one of the most critical public health problems worldwide. The WHO Global Status Report on Road Safety suggests that the annual fatality rate (per 100,000 people) due to RTCs in the Kingdom of Saudi Arabia (KSA) has increased from 17.4 to 27.4 over the last decade, wh...

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Autores principales: Jamal, Arshad, Rahman, Muhammad Tauhidur, Al-Ahmadi, Hassan M., Mansoor, Umer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982029/
https://www.ncbi.nlm.nih.gov/pubmed/31878293
http://dx.doi.org/10.3390/ijerph17010157
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author Jamal, Arshad
Rahman, Muhammad Tauhidur
Al-Ahmadi, Hassan M.
Mansoor, Umer
author_facet Jamal, Arshad
Rahman, Muhammad Tauhidur
Al-Ahmadi, Hassan M.
Mansoor, Umer
author_sort Jamal, Arshad
collection PubMed
description Road traffic crashes (RTCs) are one of the most critical public health problems worldwide. The WHO Global Status Report on Road Safety suggests that the annual fatality rate (per 100,000 people) due to RTCs in the Kingdom of Saudi Arabia (KSA) has increased from 17.4 to 27.4 over the last decade, which is an alarming situation. This paper presents an overview of RTCs in the Eastern Province, KSA, from 2009 to 2016. Key descriptive statistics for spatial and temporal distribution of crashes are presented. Statistics from the present study suggest that the year 2012 witnessed the highest number of crashes, and that the region Al-Ahsa had a significantly higher proportion of total crashes. It was concluded that the fatality rate for the province was 25.6, and the mean accident to injury ratio was 8:4. These numbers are substantially higher compared to developed countries and the neighboring Gulf states. Spatial distribution of crashes indicated that a large proportion of severe crashes occurred outside the city centers along urban highways. Logistic regression models were developed to predict crash severity. Model estimation analysis revealed that crash severity can be attributed to several significant factors including driver attributes (such as sleep, distraction, overspeeding), crash characteristics (such as sudden deviation from the lane, or collisions with other moving vehicles, road fences, pedestrians, or motorcyclists), and rainy weather conditions. After critical analysis of existing safety and infrastructure situations, various suitable crash prevention and mitigation strategies, for example, traffic enforcement, traffic calming measures, safety education programs, and coordination of key stakeholders, have been proposed.
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spelling pubmed-69820292020-02-07 The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies Jamal, Arshad Rahman, Muhammad Tauhidur Al-Ahmadi, Hassan M. Mansoor, Umer Int J Environ Res Public Health Article Road traffic crashes (RTCs) are one of the most critical public health problems worldwide. The WHO Global Status Report on Road Safety suggests that the annual fatality rate (per 100,000 people) due to RTCs in the Kingdom of Saudi Arabia (KSA) has increased from 17.4 to 27.4 over the last decade, which is an alarming situation. This paper presents an overview of RTCs in the Eastern Province, KSA, from 2009 to 2016. Key descriptive statistics for spatial and temporal distribution of crashes are presented. Statistics from the present study suggest that the year 2012 witnessed the highest number of crashes, and that the region Al-Ahsa had a significantly higher proportion of total crashes. It was concluded that the fatality rate for the province was 25.6, and the mean accident to injury ratio was 8:4. These numbers are substantially higher compared to developed countries and the neighboring Gulf states. Spatial distribution of crashes indicated that a large proportion of severe crashes occurred outside the city centers along urban highways. Logistic regression models were developed to predict crash severity. Model estimation analysis revealed that crash severity can be attributed to several significant factors including driver attributes (such as sleep, distraction, overspeeding), crash characteristics (such as sudden deviation from the lane, or collisions with other moving vehicles, road fences, pedestrians, or motorcyclists), and rainy weather conditions. After critical analysis of existing safety and infrastructure situations, various suitable crash prevention and mitigation strategies, for example, traffic enforcement, traffic calming measures, safety education programs, and coordination of key stakeholders, have been proposed. MDPI 2019-12-24 2020-01 /pmc/articles/PMC6982029/ /pubmed/31878293 http://dx.doi.org/10.3390/ijerph17010157 Text en © 2019 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
Jamal, Arshad
Rahman, Muhammad Tauhidur
Al-Ahmadi, Hassan M.
Mansoor, Umer
The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies
title The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies
title_full The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies
title_fullStr The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies
title_full_unstemmed The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies
title_short The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies
title_sort dilemma of road safety in the eastern province of saudi arabia: consequences and prevention strategies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982029/
https://www.ncbi.nlm.nih.gov/pubmed/31878293
http://dx.doi.org/10.3390/ijerph17010157
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