Publications
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Speed Management
Guide for Determining Readiness for Speed Cameras and Other Automated Enforcement
July 2022
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To briefly identify the powerful practical value of AE in saving lives and reducing injuries.
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To identify issues and criteria to be considered before commencing automated enforcement. To identify steps to be taken to achieve readiness for automated enforcement. To identify issues to improve existing automated enforcement systems.
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To provide a checklist to ensure adequate consideration is given to issues to assess readiness to implement an AE system or improve an existing system.
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Road Safety Data
DRIVER: The World Bank’s Sustainable Solution for Road Crash Data Management
March 2018
Road traffic crashes result in an estimated 1.35 million deaths and 50 million injuries worldwide per year with over 90 percent of these occurring in Low-Middle Income Countries (LMICs). Aside from the obvious pain and suffering this inflicts on individuals and communities, these deaths and injuries also place a large financial burden particularly on LMICs, by slowing economic growth.
The scale of the current response to this continuing crisis does not match the size of the problem. In addition, limited road safety resources are often expended on ineffective or suboptimal interventions. While road safety knowledge has improved over recent decades, there is still a need to improve decision making when selecting and applying effective evidence-based road safety interventions. Effective interventions are those that reduce fatal and serious injuries.
The World Bank's Global Road Safety Facility (GRSF) has developed this evidence-based guide on “What Works and What Does Not Work” in road safety in response to the critical need for effective evidence-based solutions.
This guide has been prepared to help readers understand that not all road safety interventions are equally effective and that what appear to be “common-sense” approaches to selecting road safety interventions will often not be the best. Although some provide benefits, others have very limited or even negative impacts, despite being commonly—and mistakenly—recommended or accepted. The guide offers a range of recommendations with a focus on interventions in LMICs, although the information may also be of relevance to all countries. The contents will be valuable to those working on road safety at policy or practitioner levels, including World Bank technical team leaders and others who seek to establish, expand, or improve road safety programs in LMICs.
The guide sets knowledge on evidence-based interventions within a “Safe System” context, providing advice on each of the Safe System pillars (road safety management, safe roads, safe speeds, safe vehicles, safe road users, and post-crash care) while recognizing that evidence-based solutions must be drawn from across pillars to produce effective road safety outcomes. At the core of this document is a summary table with an overview of beneficial and non-beneficial interventions based on sound scientific evidence. This is followed by more detailed information including case studies and references to the evidence base to support the summary.
Many safe road interventions are recommended for adoption, including integrated public transport, roadside and central barrier systems, medians, infrastructure to support appropriate operational speed for road users, roundabouts, grade separation and interventions to reduce exposure to risk at intersections, pedestrian footpaths and crossings, separated bicycle and motorcycle facilities, and traffic signs and line marking (including audio-tactile line marking). Some of these are highly effective, with up to a 70 or 80 percent reduction in fatalities and severe injuries (for example, safety barriers and roundabouts).
Various speed-related interventions also produce significant benefits, with some able to almost eliminate death and serious injury. Examples of effective speed interventions include traffic calming (including humps and chicanes), roundabouts, raised intersections and crossings, gateway treatments, lower speed limits (including 30 km/h (20 mph) zones for pedestrians) and speed cameras.
A variety of road user-based interventions have been implemented over many years, with effective examples including extensive supervised on-road practice and/or graduated licensing systems as part of the driver-licensing system, increased age for driving license eligibility, hazard perception training and testing, public education and campaigns as part of an integrated strategy (especially communicating enforcement to increase general deterrence), enforcement, penalties, alcohol interlocks, fatigue and speed monitoring, and increased helmet wearing rates.
Key vehicle-based interventions include applying minimum vehicle safety standards and vehicle ratings (through the Global New Car Assessment Program, or “NCAP”), seat belts, periodic vehicle maintenance, daytime running lights, under-run guards on trucks, Electronic Stability Control, and other advanced vehicle technologies.
Enhanced post-crash care can also produce better road safety outcomes, including systems to improve emergency response time, better emergency care, improved first aid skills for the public, and improved hospital care.
Equally important, the report also identifies clear examples where interventions are not effective. The worst of these are interventions that increase risk. These include increasing travel speed without improving quality of safety infrastructure, most forms of post-license driver and rider education and training, and many (but not all) forms of regular school-based driver education (such as those that seek to increase car-handling skills). The increase in risk is typically because such initiatives increase the level of confidence leading to an increase in risk taking. Other interventions that have no demonstrated safety benefits are to be avoided. These include license schemes through application or payment, training programs or education within schools that aim to improve road safety knowledge (including ad hoc visits by road safety experts or enthusiasts), and education campaigns conducted in isolation.
There are effective alternative interventions for each of these as described within this document, and these should be applied instead. It is extremely important that resources are not wasted on ineffective interventions on behalf of road safety but rather that evidence-based road safety interventions are employed.
There are a variety of documents available on the issue of road safety intervention effectiveness, many of which are referenced here. However, there are some key points of differences and added value in this guide, including a synthesis of the evidence on a broad range of interventions and a contrast between effective and noneffective interventions, allowing readers to compare options. Where noneffective interventions are identified, viable effective interventions are provided thereby supporting decision making. The guide also provides direct advice to those working in LMICs, drawing on key sources of information where this is available. Importantly, concise yet robust evidence is provided across each of the Safe System pillars.
There is a need to continue building the knowledge base on effective road safety interventions, particularly in LMICs where there are a number of gaps in knowledge. The contents of this guide represent a useful, up-to-date summary of current knowledge for application.
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.
This guide has been prepared to assist a jurisdiction to determine the level of readiness to move to automated enforcement (AE). Speed cameras enforcing speed limits are a common application of AE and there are many systemic legal and operational elements that must be in place before AE can be effective. For example, an accurate image of a speeding vehicle, in the absence of robust driver licensing and vehicle registration systems, is of little road safety value. Importantly, automated speed enforcement should be considered as one part of a comprehensive speed management approach that includes road infrastructure and roadside policing as well. The management of speed is a fundamental element of the Safe System.
Aims of this document:
Other illegal behaviours, including disobeying a red light signal, mobile or cellular phone use, incorrect lane use, and non-restraint use can also be detected using an automated enforcement approach. However, this document applies specifically to automated speed enforcement, because speed management requires significant attention worldwide and plays a critical role in reducing road traffic deaths and injuries.
Document also available in French, Portuguese, Vietnamese and Spanish.
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.
