Single Unprotected Road User Crashes: Europe we have a Problem!

AbstractUnprotected Road Users (URU) are a subset of Vulnerable Road Users (VRU) who are not protected in their vehicles: pedestrians, cyclists and powered two-wheelers. EU statistics for 2014 show that their share in road traffic fatalities was 22% for pedestrians, 8% for cyclists and 18% for Powered Two-Wheelers, in total 47% of the fatalities. From explorative studies regarding injured road traffic casualties it is found that about two thirds of the transportation casualties are Unprotected Road Users, of which two thirds are single accidents, i.e. crashes where no other road user is involved. Most of these single crashes are not (yet) detected in the standard police reported accident statistics, but do represent costs to society that probably exceed crash costs of car related crashes. It can be expected that the shares of URU fatal and injury crashes will increase, particularly because of the ageing of the population, urbanization and despite ICT/ITS developments. Some of these crashes can be prevented by relatively simple measures, others need more investments e.g. infrastructure, legislation or enforcement. From a policy point of view it will be wise to address this issue, not only for road safety reasons, but also because the elderly are getting more numerous and a serious economic and political factor

Road safety and bicycle usage impacts of unbundling vehicular and cycle traffic in Dutch urban networks

Bicycle-motor vehicle crashes are concentrated along distributor roads where cyclists are exposed to greater volumes of high-speed motorists than they would experience on access roads. This study examined the road safety impact of network-level separation of vehicular and cycle traffic in Dutch urban networks, a strategy for which the term ‘unbundling’ is used. Unbundling vehicular traffic and cycle traffic in an urban network is operationalized as the degree to which cyclists use access roads and grade-separated intersections to cross distributors. The effect on the share of cycling in the modal split is also assessed as unbundling may affect the competitiveness of cycling compared to driving in terms of trip length. The analyses were conducted on Dutch municipalities with more than 50,000 inhabitants. Negative binomial regression was used to analyse the effect on the number of police-reported cyclist deaths and in-patients in bicycle-motor vehicle crashes. A mediation model was tested, with Structural Equation Modelling hypothesizing that unbundling corresponds positively with the cycling modal share via the length of car trips divided by those by bicycle. The results of this study suggest that unbundling improves cycling safety, and increases the share of cycling in the modal split. We recommend unbundling vehicular and bicycle traffic in urban networks, e.g. establishing large traffic-calmed areas with short cuts and standalone paths for cyclists (and pedestrians) and, where feasible, grade-separated intersections such as bicycle tunnels.ISSN:1567-7133ISSN:1567-714

Pedestrian falls:A review of the literature and future research directions

Introduction Pedestrian falls (PFs) – falls in public spaces without collisions with other road users – are a significant cause of serious transport-related injuries, amounting to three-quarters of all pedestrians admitted to hospital. Methods This scoping review examined peer-reviewed research on PFs published between 1995 and 2015. Electronic databases (Scopus, SafetyLit, and PubMed) were used to find studies identifying PFs or outdoor falls (the latter also including falls in gardens). Results We identified only 28 studies reporting relevant information on PFs (i.e., 15 prospective, 10 retrospective, and 3 intervention studies). The results show that more walking is related to a lower risk of PFs. Older people, especially older women, have a higher risk of (injurious) PFs. Outdoor fall victims have equally good or better health characteristics and scores on balance tests compared to those who have not experienced such falls. Road factors such as uneven surfaces, busy junctions, stairs, and slippery surfaces seem to play an important role in PFs, but much of the research on these factors is of a qualitative nature. Conclusions PF victims are generally in good health (apart from normal age-related problems) but at risk due to road factors. Practical applications We recommend to adopt a human factors approach. The road system should be adapted to human capabilities and limitations including those of pedestrians. Measures such as preventing uneven surfaces and good winter maintenance seem to be effective. However, we advise more quantitative research on road factors to inform design guidelines and standards for public space authorities given the qualitative nature of current research on road factors

A conceptual framework for road safety and mobility applied to cycling safety

AbstractScientific literature lacks a model which combines exposure to risk, risk, and the relationship between them. This paper presents a conceptual road safety framework comprising mutually interacting factors for exposure to risk resulting from travel behaviour (volumes, modal split, and distribution of traffic over time and space) and for risk (crash and injury risk). The framework's three determinants for travel behaviour are locations of activities; resistances (generalized transport costs); needs, opportunities, and abilities. Crash and injury risks are modelled by the three ‘safety pillars’: infrastructure, road users and the vehicles they use. Creating a link in the framework between risk and exposure is important because of the ‘non-linear relationship’ between them, i.e. risk tends to decrease as exposure increases. Furthermore, ‘perceived’ risk (a type of travel resistance) plays a role in mode choice, i.e. the perception that a certain type of vehicle is unsafe can be a deterrent to its use. This paper uses theories to explain how the elements in the model interact. Cycling is an area where governments typically have goals for both mobility and safety. To exemplify application of the model, the paper uses the framework to link research on cycling (safety) to land use and infrastructure. The model's value lies in its ability to identify potential consequences of measures and policies for both exposure and risk. This is important from a scientific perspective and for policy makers who often have objectives for both mobility and safety