Publications
1-10 of 10
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Economics & Finance
Financing Road Safety: Catalyzing the Sustainable Finance Market to Bridge the Gap
February 2025
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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.
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Economics & Finance
Multilateral Development Banks Road Safety Financing in Low and Middle-Income Countries: 2018–2022
May 2023
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Road Safety Data
Directrices Para la Realización de Evaluaciones de Datos de Seguridad Vial (Spanish)
July 2022
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Road Safety Data
Guide pour la Conduite de Revues de Données de Sécurité Routière (French)
July 2022
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Road Safety Data
DRIVER: The World Bank’s Sustainable Solution for Road Crash Data Management
March 2018

The burden of road traffic injuries is a significant global challenge requiring urgent attention and investment. By integrating road safety investments with broader development goals and leveraging innovative financing solutions such as labeled sustainable bonds and loans, available financing for road safety projects can be dramatically increased.
The societal, economic, and human benefits of improving road safety are extensive, making it a critical priority for national agendas. Through strategic investments in road safety, economic burdens can be mitigated, long-term growth promoted, and a safer, more equitable world created for all.
The multilateral development banks -- together with the Global Road Safety Facility and with strong donor support -- can help countries catalyze the sustainable finance market to fund high-impact and results-oriented road safety projects.

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.

The Multilateral Development Banks (MDBs) Road Safety Working Group, established in 2009, is comprised of ten member institutions that are uniquely positioned to support countries in reaching their considerable and challenging road safety financing needs.
In early 2023, the working group reviewed progress made by the MDBs in financing road safety activities in low and middle-income countries (LMICs), and found that MDBs collectively committed $3.6 billion toward road safety initiatives in developing countries during the period 2018-2022. Three standalone road safety projects—in Bangladesh (World Bank), India (Asian Development Bank and World Bank), and Romania (European Investment Bank)—totaled $912 million in MDBs financing, which is more than one-quarter of the amount committed during this timeframe.
The review is based on details of road and urban mobility project financing provided by seven of the working group's ten members.

Road traffic injuries (RTIs) are well known to cause enormous human suffering in terms of both morbidity and mortality, and on a global scale. The economic dimension of the disease burden is far less well understood; but it is important to assess the size of the economic burden so that it can be considered when calculating the cost-benefit ratio of policies to tackle this problem. Because it is, in principle, and to some degree, an avoidable one.
This report focuses primarily on assessing various dimensions of the economic consequences of RTIs, as applied specifically to four Central Asian countries (Kazakhstan, Kyrgyzstan, Tajikistan, and Uzbekistan) – a part of the world in which there is still a major need to reduce RTIs.
This study shows that on top of the harm RTIs inflict upon human health, they also impose a considerable financial burden on health care systems. In 2016, the total estimated health costs of RTIs in these four countries was approximately Int$95 million, ranging from Int$2.8million in Tajikistan to Int$49.3 million in Kazakhstan. In Kazakhstan, the overall health costs resulting from RTIs were similar to the cumulative expenditure for rehabilitative and palliative care within the state-guaranteed basic package. The heavy financial burden on health care systems to manage RTIs in these countries adds weight to the urgency to increase preventive efforts by road safety policymakers, and should motivate appropriate organization of the post-crash response by health care system decision makers. The cost estimates discussed in this report indicate the potential for significant economic cost savings if both deaths and injuries from road crashes could be substantially reduced in these countries.

The World Bank estimates a significant funding gap in road safety of 260 billion to achieve SDG 3.6 and 11.2 in the next ten years, and recognizes that this gap cannot be closed through public funding alone and thus mobilization of private capital is required. The impacts of road traffic crashes reach far into the economy and can cost L/MICs as much as 6% of their GDP. The costs of a road traffic crash do not end at the roadside; they create ripple effects throughout the wider economy. Loss of income, property damage, insurance premiums, loss of taxes, and burdens on the health sector are just some of the far-reaching costs associated with road traffic crashes. Road traffic crashes can cost countries as much as 6 percent of their GDP and trap families in poverty as they lose income generating potential and focus on providing lifetime care.
This report examines the potential for private capital mobilization to close this gap. The report investigates the market failure to appropriately account for the cost of road crashes, which prevents private capital from flowing to road safety investments. The growth of socially responsible investing and the sustainable finance market offers a new opportunity to address this market failure. The report proposes different business models and financing instruments to channel private investment into road safety projects. These investment structures consist of subnational, public-private partnerships (PPPs) and corporate investments that can leverage the growing sustainable finance market, including social and sustainability-linked financings (SLFs).
The report also develops indicators that can be used to tie the cost of financing to the attainment of road safety targets, incentivizing borrowers to commit to road safety as part of SLFs. The report examines the enabling environment for structuring investable road safety projects in a sample of countries, looking at the barriers and opportunities, and proposing risks and mitigation strategies, like blended finance mechanisms and stable revenue sources, for long-term sustainability of road safety investments.

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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 ».

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.

If you are reading this, you probably already know that 1.3 million people are killed on the world’s roads each year and another 20-50 million are seriously injured – 90 percent of these tragedies occur in developing countries. Having such figures help us understand the gravity of the epidemic we are facing; however, when we look at most low- and middle-income countries’ road crash data, the official numbers often do not match up with the reality of their roads.
Many road crashes go un-reported, certain incidents – such as those involving cyclists or property damage-only – are under-reported, and in a vast number of records, the data are incomplete (lacking even the location of the crash). Being able to efficiently and accurately collect, analyze, and report road crash data, is the first step to tackle this problem, and this is where DRIVER comes into play.
Developed by the World Bank in 2013, the Data for Road Incident Visualization, Evaluation, and Reporting (DRIVER) system, is a free web-based, open-source platform that improves the collection, management, analysis, and reporting of road crash data by enabling multiple agencies such as the police, health care providers, and local/national government agencies, to geo-reference road incidents in the same database in real time. It was first piloted in two Philippine cities, Cebu and Manila and since then, the GRSF has supported the improvement and deployment of DRIVER through workshops, pilot projects, implementation support and scaleup in countries such as Brazil, Bangladesh, India, Kazakhstan, Laos, Thailand, Vietnam, and Saudi Arabia.
