Publications
1-10 of 18
-
Road Safety Management
Motor Vehicle Information Management Systems: A Framework for Improvement
March 2025
-
Road Safety Data
Improving Road Traffic Injury Statistics in Low- and Middle-Income Countries
November 2023
- National decision-makers recognize the issue of underreporting but tend to dismiss higher estimates by global statistical models.
- Most countries use WHO GSRRS estimates.
- National health surveys and censuses in LMICs often contain relevant information, and minor modifications can greatly improve their usage for such measurements.
- Incorporating national health survey data into global statistical models can help resolve discrepancies and increase confidence in estimates.
- Integrating epidemiological data sources into global statistical models (GBD, GHE, GSRRS) to reduce discrepancies and increase confidence in their estimates.
- Including relevant questions in upcoming national data collections to facilitate epidemiological measurements of road traffic injuries.
- Encouraging local involvement in data production for better estimates.
- Enhancing coordination between the Institute for Health Metrics and Evaluation and the World Health Organization to improve estimates and reduce inconsistencies.
-
Road Safety Management
Nigeria: The “Single Organization Road Safety” Institutional Model, its Efficacy and Replicability
July 2022
-
What are the strengths and weaknesses of this model and what could be done to improve its’ efficiency and effectiveness?
-
How efficient and effective is the “Single Organizational Model” institutional setup (both federal and state levels) in dealing with the road safety issues in Nigeria?
-
Can this model be replicated in other LMICs and what are the factors that will determine the replicability of the model in those countries?
-
What are the steps in setting up “Single Organizational Model” institutions in LMICs?
-
-
Road Safety Data
Directrices Para la Realización de Evaluaciones de Datos de Seguridad Vial (Spanish)
July 2022
-
Road Safety Data
Guide pour la Conduite de Revues de Données de Sécurité Routière (French)
July 2022
-
-
-
Road Safety Management
Road Safety Management Capacity Assessment for the Solomon Islands
February 2021
-
-
Utilize GRSF recommended methodology to gain a thorough understanding of road safety management capacity;
-
Assess institutional management arrangements as an important focus of the analysis of the road safety system in Samoa;
-
Consider the existing national road safety strategy—Samoa National Action Plan (SNAP) for the Decade of Action for Road Safety 2011-2020—and propose updates for the next period;
-
Provide capacity building on crash investigation and evidence-based road safety measures to ensure success and sustainability, with a focus on vulnerable road users such as females, children, and persons with disabilities; and,
-
Focus on crash data management, including providing hands on capacity building and crash analysis.
The rapid growth of motorization worldwide has brought both opportunities and challenges, impacting health, resource consumption, and accessibility. Effective management of motor vehicle fleets is crucial for maximizing benefits while minimizing negative consequences. This report presents a framework for improving Motor Vehicle Information Management Systems (MVIMS) to enhance public policy outcomes.
A well-structured MVIMS can support regulatory efforts by improving oversight of used vehicle imports, ensuring compliance with vehicle safety and emissions standards, facilitating periodic inspections, and strengthening vehicle insurance systems. The report highlights key findings from a survey of MVIMS practices in 13 low- and middle-income countries, revealing challenges in data integration, institutional coordination, and information accessibility.
By adopting best practices and strengthening governance, MVIMS can play a critical role in enhancing road safety, environmental sustainability, and transport efficiency. The report outlines a strategic pathway—Assess, Envision, Plan, Implement, and Monitor—to guide countries in developing robust MVIMS that support effective transport management.
Road safety is a global health and economic issue that disproportionately affects low- and middle-income countries (LMICs). Precise data is crucial for understanding the full scope of the problem and developing effective interventions, but LMICs struggle to collect comprehensive data due to limited resources, underdeveloped health systems, and inconsistent data collection processes.
To overcome reporting gaps, three major global statistical models are utilized: The Institute for Health Metrics and Evaluation Global Burden of Disease (GBD) study, the World Health Organization (WHO) Global Status Reports on Road Safety (GSRRS), and WHO Global Health Estimates (GHE). However, discrepancies exist among these models and between them and official country statistics. They often estimate significantly higher road traffic fatalities and injuries than official LMIC statistics.
This GRSF study identifies the reasons behind statistical discrepancies and outlines strategies to strengthen modeling efforts. This involved qualitative research, a systematic review of national data availability, and four case studies in Brazil, Cambodia, Ethiopia, and Tanzania.
Key findings include:
Recommendations include:
To achieve the goal of the Second United Nations Decade of Action for Road Safety (reducing road traffic fatalities and injuries by 50% by 2030), substantial resources need to be allocated to road safety and accurate reporting and statistical estimates are required.
This study is one part of a comprehensive study of lead road safety agencies in low- and middle-income countries (LMICs), which is being conducted on a collaborative basis by the World Bank, the World Health Organization, and the African Development Bank. This particular study is supported by UK Aid through the World Bank’s Global Road Safety Facility (GRSF). It focuses on the case of Nigeria, a federal republic with three tiers of government - federal (central), state and local governments - and its single institutional model for road safety.
This report responds to the following questions:
Download the report to learn more!
RESOURCES ⌵︎
ACKNOWLEDGMENTS ⌵︎
‘The “Single Organization Road Safety” Institutional Model, its Efficacy and Replicability’ Study is supported by UK Aid through GRSF. The Report was written by three main authors: Martin Small, Mustapha Azzouzi and Arpita Roy. The study was led by Farhad Ahmed (Senior Transport Specialist) with support from Md. Towshikur Rahman, who was responsible for the overall coordination.
Download the document in English
Download the document in French
Download the document in Spanish
In many countries around the world, deficiencies in data or data quality impair evidence-based road safety policy making. While many countries collect road safety data, the collection is not necessarily comprehensive. Further, many countries can be unaware of data gaps in their system, which prevents them from soundly analyzing their road safety problems. Therefore, road safety data definitions and collection methods must converge into standard international criteria, thus allowing for comparisons in space - across countries - and in time.
This is the raison d’etre of regional road safety observatories, which have been developed, for example, in Latin America (OISEVI), Africa (ARSO), and Asia-Pacific (APRSO). They present an opportunity for joint regional efforts to improve, in a harmonized way, road safety data collection and analysis. Regional road safety observatories promote the adoption of a common set of road safety indicators based on common definitions and serve as an avenue to assist countries in improving the management of their crash data systems.
This document is designed to support reviewers in the assessment of road safety data collection; the complete range of safety data should be considered. This task can be complicated because collection of road safety data is often not achieved by activities dedicated to this purpose, but rather through piggybacks on other sources. For example, activity reports from police or hospitals are used to provide material for legal or medical purposes. The routines involved frequently have a long history in which gathering reliable and complete statistics has had secondary priority, at best. The various actors involved reflect the complex structure of a country’s judicial and executive system, which, generally, are not coordinated. Consequently, any review of the data collection process requires some “detective work.”
En muchos países del mundo, las deficiencias en los datos o en la calidad de los mismos perjudican la formulación de políticas de seguridad vial basadas en evidencias. Si bien muchos países recopilan datos de seguridad vial, la recopilación no es necesariamente exhaustiva. Además, muchos países pueden desconocer las lagunas de datos en su sistema, lo que les impide analizar de manera sólida sus problemas de seguridad vial. Por lo tanto, las definiciones de datos de seguridad vial y los métodos de recopilación deben converger en criterios internacionales estándar, lo que permite realizar comparaciones en el espacio (entre países) y en el tiempo.
Esta es la razón de ser de los observatorios regionales de seguridad vial, que se han desarrollado, por ejemplo, en América Latina (OISEVI), África (ARSO) y Asia-Pacífico (APRSO). Presentan una oportunidad para realizar esfuerzos regionales conjuntos para mejorar, de manera armonizada, la recopilación y el análisis de datos de seguridad vial. Los observatorios regionales de seguridad vial promueven la adopción de un conjunto común de indicadores de seguridad vial basados en definiciones comunes y sirven como una vía para ayudar a los países a mejorar la gestión de sus sistemas de datos de accidentes.
Este documento está diseñado para ayudar a los revisores en la evaluación de la recopilación de datos de seguridad vial; Se debe tener en cuenta la gama completa de datos de seguridad. Esta tarea puede ser complicada porque la recopilación de datos de seguridad vial a menudo no se logra mediante actividades dedicadas a este fin, sino más bien mediante la combinación de otras fuentes. Por ejemplo, los informes de actividades de la policía o de los hospitales se utilizan para proporcionar material para fines legales o médicos. Las rutinas involucradas con frecuencia tienen una larga historia en la que la recopilación de estadísticas confiables y completas ha tenido una prioridad secundaria, en el mejor de los casos. Los diversos actores involucrados reflejan la compleja estructura del sistema judicial y ejecutivo de un país, que, por lo general, no están coordinados. En consecuencia, cualquier revisión del proceso de recopilación de datos requiere un cierto “trabajo de detective”.
Dans de nombreux pays du monde, les lacunes en matière de données ou de qualité des données compromettent l’élaboration de politiques de sécurité routière fondées sur des données probantes. Si de nombreux pays collectent des données sur la sécurité routière, la collecte n’est pas nécessairement exhaustive. En outre, de nombreux pays peuvent ne pas être conscients des lacunes de données dans leur système, ce qui les empêche d’analyser correctement leurs problèmes de sécurité routière. Par conséquent, les définitions et les méthodes de collecte des données sur la sécurité routière doivent converger vers des critères internationaux standard, permettant ainsi des comparaisons dans l’espace (entre les pays) et dans le temps.
C’est la raison d’être des observatoires régionaux de la sécurité routière, qui ont été développés, par exemple, en Amérique latine (OISEVI), en Afrique (ARSO) et en Asie-Pacifique (APRSO). Ils offrent l’occasion de déployer des efforts régionaux conjoints pour améliorer, de manière harmonisée, la collecte et l’analyse des données sur la sécurité routière. Les observatoires régionaux de la sécurité routière favorisent l’adoption d’un ensemble commun d’indicateurs de sécurité routière basés sur des définitions communes et servent de moyen d’aider les pays à améliorer la gestion de leurs systèmes de données sur les accidents.
Ce document est conçu pour aider les examinateurs à évaluer la collecte de données sur la sécurité routière ; Il convient de prendre en compte l’ensemble des données de sécurité. Cette tâche peut s’avérer compliquée, car la collecte de données sur la sécurité routière ne se fait souvent pas par le biais d’activités dédiées à cet effet, mais plutôt par le biais d’autres sources. Par exemple, les rapports d’activité de la police ou des hôpitaux sont utilisés pour fournir des informations à des fins juridiques ou médicales. Les routines concernées ont souvent une longue histoire dans laquelle la collecte de statistiques fiables et complètes a été, au mieux, une priorité secondaire. Les différents acteurs impliqués reflètent la structure complexe du système judiciaire et exécutif d’un pays, qui, en général, ne sont pas coordonnés. Par conséquent, tout examen du processus de collecte de données nécessite un « travail de détective ».
This Road Safety Management Capacity Assessment (RSMCA) seeks to gain a broad understanding of the Government of Vanuatu's road safety management capacity to support its plans to improve road safety outcomes throughout the country. The RSMCA follows the seven critical road safety institutional management functions (Bliss and Breen 2013) to identify key challenges and provide recommendations for improvement in road safety management, and similarly addresses the Safe System pillars for the interventions level. The seven institutional management functions include: results focus, coordination, legislation, finance and resource allocation, promotion and advocacy, monitoring and evaluation, and research and development of knowledge transfer.
The Safe System pillars include road safety management, safe roads and mobility, safe vehicles, safe road users, post-crash care, and safe speeds. The RSMCA’s alignment with both the road safety institutional management functions and the Safe System Approach in turn aims to help the Government of Vanuatu to prioritize targeted next steps to address road crash death and serious injury in the country.
Road safety is a major public health issue in Cambodia. Reducing the number of road crashes is a priority for the government. Accurate data are needed to design the most effective interventions. Improving the current crash data system will furnish a more comprehensive picture of critical road safety issues in Cambodia and provide the basis for developing policies to save more lives.
In the framework of the development of the Asia Pacific Road Safety Observatory (APRSO), the World Bank and the International Transport Forum (ITF), with the support of the Cambodian Government, initiated a project aimed at assessing the crash data system in Cambodia and developing a road map for strengthening this system.
This project follows up on a previous twinning project between Cambodia and the Netherlands, undertaken in the framework of the International Road Traffic and Accident Database (IRTAD) group of ITF in 2010-2014. That project concerned both a review of the Road Crash and Victim Information System (RCVIS), and training and support to develop a national road safety strategy and related indicators.
The current project started in 2019 and was carried out by the World Bank and the ITF, with support from the Global Road Safety Facility (GRSF) and UK AID. The Dutch Road Safety Research Institute, SWOV, was contracted by the ITF to lead the review.
This report provides conclusions and recommendations on the basis of the data review mission undertaken in December 2019.
This Road Safety Management Capacity Assessment (RSMCA) seeks to gain a broad understanding of the Solomon Island Government road safety management capacity in order to support the country's development of a national strategy and plan of action to improve road safety outcomes, and subsequently implement those actions effectively.
The RSMCA follows the seven critical road safety institutional management functions (Bliss and Breen 2013) to identify key challenges and provide recommendations for improvement in road safety management, and similarly addresses the Safe System pillars for the interventions level. The seven institutional management functions include: results focus; coordination; legislation; finance and resource allocation; promotion and advocacy; monitoring and evaluation, and research and development of knowledge transfer.
The Safe System pillars include road safety management; safe roads and mobility; safe vehicles; safe road users, post-crash care; and safe speeds. As such, the RSMCA outlines key findings and recommendations relating to both the road safety institutional management functions within the Solomon Islands, and the Safe System Approach, whilst also identifying targeted priority next steps to address road crash death and serious injury in the country.
The Road Safety Management Capacity Assessment (RSMCA) is an activity within a broader Advisory Services and Analytics (ASA), which aims to gain a holistic and thorough understanding of the road safety management capacity of three selected Pacific Island Countries (PICs)—Samoa, the Solomon Islands and Vanuatu—in order to support their respective governments to develop national strategies and plans of action to improve road safety outcomes, with a focus on crash data management. The ASA will also support a pilot of the World Bank’s Data for Road Incident Visualization, Evaluation, and Reporting (DRIVER) road crash database in Samoa and provide hands on capacity building in crash analysis.
The ASA is being funded by a Global Road Safety Facility (GRSF) grant from the United Kingdom Agency for International Development (UK AID). The GRSF grant will help the Government of Samoa (GoS) to have a clear image of their road safety situation, risks and challenges, and further on to establish the basis for a national crash database. To ensure sustainability through capacity building and awareness-raising activities, knowledge will be shared with local stakeholders.
The key objectives of this ASA are as follows:
An auxiliary objective is to build capacity to use crash data to identify problems and implement road safety evidence-based measures in Samoa. Furthermore, given the negative impacts of severe weather events on road safety, which will be further exacerbated by climate change, the ASA will help to address the way that road safety is managed in the face of climate change, by training police officers to gain better skills in crash investigation.
The results from the DRIVER pilot in Samoa will be shared with counterparts in selected other PICs, with the aim of scaling up the system across the region. Only with accurate data can road safety be effectively managed and improved, and results measured. In support of this, as of October 2019, the World Bank’s Environmental and Social Framework (World Bank 2019) calls for road safety to be considered on all World Bank-funded projects.
The World Bank is also currently providing assistance to the road sector in Samoa through several projects, including the Samoa Climate Resilient Transport Project (SCRTP), which commenced in 2018. SCRTP will support the GoS to improve the climate resilience of the road network and provide key assistance required to contribute towards effectively managing climate resilient and safe road sector assets. One of the sub-components of SCRTP is dedicated to establishing and operationalizing a database for recording and analyzing road crash data.
The database will combine the existing siloed data, housed in different government agencies, into a single readily accessible platform under the Ministry of Work, Transport and Infrastructure (MWTI). The system will make use of DRIVER, to be piloted through this road safety ASA. SCRTP has other sub-components and activities focused on road safety, such as Road Safety Audits for project roads, a driver licensing training pilot focusing on women, and a road safety engineering technical assistance activity. This GRSF ASA will provide crucial data and insight for the successful delivery of the road safety program under SCRTP, plus other ongoing World Bank-financed projects.