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Improving the efficiency and quality of road crashes data in the Sultanate of Oman: evidence-based recommendations

Improving the efficiency and quality of road crashes data in the Sultanate of Oman: evidence-based recommendations
Improving the efficiency and quality of road crashes data in the Sultanate of Oman: evidence-based recommendations
Reliable Road Traffic Crash (RTC) data are essential for accurately identifying risk factors, establishing priority areas for policy interventions and evaluating intervention outcomes. In many countries, inadequate and inconsistent data pose challenges for developing evidence-based policies for reducing the RTC burden, while RTC continue to exert significant impact on national and family resources. We conducted a critical evaluation of the strengths and weaknesses of the National Road Traffic Crash (NRTC) database in Oman. This assessment was grounded in the development of a holistic, integrated framework to evaluate the causes and consequences of RTC. The integrated framework of RTC was developed, building on the behavioural, economic, social, technological, and environmental dimensions outlined in the Haddon Matrix and the C3-R3 systems model. We then critically assessed the NRTC database and proposed coherent strategies to enhance the recording, monitoring, and analysis of RTC data. Our evaluation highlighted the relevance of key variables necessary for understanding the dynamics and complexities of RTC, as well as the gaps and challenges present in the NRTC database. The paucity of relevant RTC data hindered our ability to accurately predict and validate the interactive effects of factors associated with RTC and related injury outcomes. The limitations of the NRTC database underscores the urgent need for structured modifications including multi-sectoral data integration. Our integrated framework can improve the quality of NRTC database, help policymakers to better understand the dynamics and complex interplay of RTC factors and enable the implementation of data-driven policies for effective road safety interventions.
Road Traffic Crashes, National Road Traffic Crash Database, Sultanate of Oman, Gulf Cooperation Council countries, Royal Oman Police, Policy, Database, Framework
2652-4260
63-74
Al Aamri, Amira
3878e033-0401-469d-bf28-981d86028215
Padmadas, Sabu S.
64b6ab89-152b-48a3-838b-e9167964b508
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649
Al-Maniri, Abdullah
03f637a5-a625-4dbd-b6d6-dc74b066b7a8
Al Aamri, Amira
3878e033-0401-469d-bf28-981d86028215
Padmadas, Sabu S.
64b6ab89-152b-48a3-838b-e9167964b508
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649
Al-Maniri, Abdullah
03f637a5-a625-4dbd-b6d6-dc74b066b7a8

Al Aamri, Amira, Padmadas, Sabu S., Zhang, Li-Chun and Al-Maniri, Abdullah (2025) Improving the efficiency and quality of road crashes data in the Sultanate of Oman: evidence-based recommendations. Journal of Road Safety, 36 (2), 63-74, [36]. (doi:10.33492/​JRS-D-25-1-2563701).

Record type: Article

Abstract

Reliable Road Traffic Crash (RTC) data are essential for accurately identifying risk factors, establishing priority areas for policy interventions and evaluating intervention outcomes. In many countries, inadequate and inconsistent data pose challenges for developing evidence-based policies for reducing the RTC burden, while RTC continue to exert significant impact on national and family resources. We conducted a critical evaluation of the strengths and weaknesses of the National Road Traffic Crash (NRTC) database in Oman. This assessment was grounded in the development of a holistic, integrated framework to evaluate the causes and consequences of RTC. The integrated framework of RTC was developed, building on the behavioural, economic, social, technological, and environmental dimensions outlined in the Haddon Matrix and the C3-R3 systems model. We then critically assessed the NRTC database and proposed coherent strategies to enhance the recording, monitoring, and analysis of RTC data. Our evaluation highlighted the relevance of key variables necessary for understanding the dynamics and complexities of RTC, as well as the gaps and challenges present in the NRTC database. The paucity of relevant RTC data hindered our ability to accurately predict and validate the interactive effects of factors associated with RTC and related injury outcomes. The limitations of the NRTC database underscores the urgent need for structured modifications including multi-sectoral data integration. Our integrated framework can improve the quality of NRTC database, help policymakers to better understand the dynamics and complex interplay of RTC factors and enable the implementation of data-driven policies for effective road safety interventions.

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e-pub ahead of print date: 28 May 2025
Published date: 28 May 2025
Keywords: Road Traffic Crashes, National Road Traffic Crash Database, Sultanate of Oman, Gulf Cooperation Council countries, Royal Oman Police, Policy, Database, Framework

Identifiers

Local EPrints ID: 503099
URI: http://eprints.soton.ac.uk/id/eprint/503099
ISSN: 2652-4260
PURE UUID: 28859399-a866-411b-96b8-e23bbbcb8f85
ORCID for Sabu S. Padmadas: ORCID iD orcid.org/0000-0002-6538-9374
ORCID for Li-Chun Zhang: ORCID iD orcid.org/0000-0002-3944-9484

Catalogue record

Date deposited: 21 Jul 2025 16:51
Last modified: 22 Aug 2025 02:07

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Contributors

Author: Amira Al Aamri
Author: Li-Chun Zhang ORCID iD
Author: Abdullah Al-Maniri

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