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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6982029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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