Categorizing datasets of road traffic accidents in Oman spanning from 2012 to 2022

Road traffic accidents constitute the primary cause of fatalities associated with injuries and engender substantial economic ramifications for affected individuals, their families, and entire nations. The Sultanate of Oman, like other countries, suffers from traffic accident injuries and traffic con...

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Main Authors: Hussin A.M Yahia, Ali Ahmed Mohamed, Taleb Eissa, Shaban Ismael Albrka,, Mohd Azizul Ladin, Hisham Jashami
Format: Article
Language:English
English
Published: Elsevier Inc. 2023
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/41219/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41219/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41219/
http://dx.doi.org/10.2139/ssrn.4659492
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spelling my.ums.eprints.412192024-10-03T01:57:59Z https://eprints.ums.edu.my/id/eprint/41219/ Categorizing datasets of road traffic accidents in Oman spanning from 2012 to 2022 Hussin A.M Yahia Ali Ahmed Mohamed Taleb Eissa Shaban Ismael Albrka, Mohd Azizul Ladin Hisham Jashami HE331-380 Traffic engineering. Roads and highways. Streets HE369-373 Traffic surveys (General) Road traffic accidents constitute the primary cause of fatalities associated with injuries and engender substantial economic ramifications for affected individuals, their families, and entire nations. The Sultanate of Oman, like other countries, suffers from traffic accident injuries and traffic congestion. The accident rate for the period 2021 was recorded as one accident every six hours. Despite a 70% increase in total number of vehicles and an 81% rise in licensed drivers between 2012 and 2019, data on traffic accidents demonstrate an improving trend with a notable 55% decline in crash fatalities. However, it is important to recognize that road traffic accidents in Oman encompass not only social issues but also pose a significant economic burden, resulting in substantial financial costs for the nation. Notwithstanding, it was discovered that more than 50% of fatal crashes in Oman were primarily caused by excessive speeding. The main goal of this research is to analysis the causes and trends of traffic accidents at the national level in the Sultanate of Oman. Data analysis reveals speed as the primary cause of traffic accidents in Oman, with Muscat and Dhofar registering the highest accident rates. In addition, the distribution of deaths and injuries resulting from accidents varies according to Gender and nationality. According to the road accident scenario analysis in the state, more traffic accidents occurred in males than females. Traffic accidents have witnessed a notable decline over the past decade, attributable to the diligent efforts and interventions implemented by the Royal Oman Police. Elsevier Inc. 2023 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/41219/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/41219/2/FULL%20TEXT.pdf Hussin A.M Yahia and Ali Ahmed Mohamed and Taleb Eissa and Shaban Ismael Albrka, and Mohd Azizul Ladin and Hisham Jashami (2023) Categorizing datasets of road traffic accidents in Oman spanning from 2012 to 2022. Data in Brief. pp. 1-12. ISSN 2352-3409 http://dx.doi.org/10.2139/ssrn.4659492
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic HE331-380 Traffic engineering. Roads and highways. Streets
HE369-373 Traffic surveys (General)
spellingShingle HE331-380 Traffic engineering. Roads and highways. Streets
HE369-373 Traffic surveys (General)
Hussin A.M Yahia
Ali Ahmed Mohamed
Taleb Eissa
Shaban Ismael Albrka,
Mohd Azizul Ladin
Hisham Jashami
Categorizing datasets of road traffic accidents in Oman spanning from 2012 to 2022
description Road traffic accidents constitute the primary cause of fatalities associated with injuries and engender substantial economic ramifications for affected individuals, their families, and entire nations. The Sultanate of Oman, like other countries, suffers from traffic accident injuries and traffic congestion. The accident rate for the period 2021 was recorded as one accident every six hours. Despite a 70% increase in total number of vehicles and an 81% rise in licensed drivers between 2012 and 2019, data on traffic accidents demonstrate an improving trend with a notable 55% decline in crash fatalities. However, it is important to recognize that road traffic accidents in Oman encompass not only social issues but also pose a significant economic burden, resulting in substantial financial costs for the nation. Notwithstanding, it was discovered that more than 50% of fatal crashes in Oman were primarily caused by excessive speeding. The main goal of this research is to analysis the causes and trends of traffic accidents at the national level in the Sultanate of Oman. Data analysis reveals speed as the primary cause of traffic accidents in Oman, with Muscat and Dhofar registering the highest accident rates. In addition, the distribution of deaths and injuries resulting from accidents varies according to Gender and nationality. According to the road accident scenario analysis in the state, more traffic accidents occurred in males than females. Traffic accidents have witnessed a notable decline over the past decade, attributable to the diligent efforts and interventions implemented by the Royal Oman Police.
format Article
author Hussin A.M Yahia
Ali Ahmed Mohamed
Taleb Eissa
Shaban Ismael Albrka,
Mohd Azizul Ladin
Hisham Jashami
author_facet Hussin A.M Yahia
Ali Ahmed Mohamed
Taleb Eissa
Shaban Ismael Albrka,
Mohd Azizul Ladin
Hisham Jashami
author_sort Hussin A.M Yahia
title Categorizing datasets of road traffic accidents in Oman spanning from 2012 to 2022
title_short Categorizing datasets of road traffic accidents in Oman spanning from 2012 to 2022
title_full Categorizing datasets of road traffic accidents in Oman spanning from 2012 to 2022
title_fullStr Categorizing datasets of road traffic accidents in Oman spanning from 2012 to 2022
title_full_unstemmed Categorizing datasets of road traffic accidents in Oman spanning from 2012 to 2022
title_sort categorizing datasets of road traffic accidents in oman spanning from 2012 to 2022
publisher Elsevier Inc.
publishDate 2023
url https://eprints.ums.edu.my/id/eprint/41219/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41219/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41219/
http://dx.doi.org/10.2139/ssrn.4659492
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score 13.211869