Traffic safety and health care : state and national estimates of employer costs /

"DOT HS 808 234"--P. [4] of cover.

Study of methods for increasing safety belt use : comments on the study by the U.S. Department of Transportation, National Highway Traffic Safety Administration /

April 1981.

Traffic safety & crime : keeping pace.

"DOT HS 808 367"--P. [4] of cover.

Team- och ledarskapsfaktorer som påverkar sjuksköterskors förmåga att arbeta patientsäkert – en litteraturstudie : Team level- and leadership predictors that affect nurses' in their work to achieve patient safety- a literature study

Sjuksköterskor ska arbeta utifrån patientens behov för att åstadkomma en patientsäker vård. Det är teamet samt ledaren som står sjuksköterskor närmast i utövandet av hens omvårdnadsarbete. Syftet med denna litteraturstudie var att beskriva vilka team- och ledarskapsfaktorer som påverkar sjuksköterskors förmåga att arbeta patientsäkert. Metoden som användes för denna litteraturstudie är baserad på Forsberg & Wengströms modell (2013). Resultatet är baserat på 11 vetenskapliga artiklar, publicerade mellan år 2000 och 2016. Vid bearbetning av artiklarna framkom flera teman vilka delades in mot teamfaktorer som påverkar sjuksköterskors förmåga att arbeta patientsäkert samt ledarskapsfaktorer som påverkar sjuksköterskors förmåga att arbeta patientsäkert. Teamets huvudfaktor identifierades som att ha förmåga att samarbeta. Teman som visade ingå var förmåga att kommunicera och förmedla kunskap samt relationer i teamet genom respekt och konflikthantering. Ledarens huvudtema som identifierades var att inspirera och motivera samt att ge stöd. Slutsatsen av denna litteraturstudie är att teamet samt ledaren visade sig ha en betydande roll för sjuksköterskors förmåga att arbeta patientsäkerhet. Då teamet och ledaren har visat sig kunna påverka patientsäkerheten på många olika sätt, genom att påverka sjuksköterskors arbete, är det väsentligt att dessa uppmärksammas i patientsäkerhetsarbete.

Comparison between common traffic lights and three types of traffic lights with visual cycle a safety and capacity analysis

The objective of this paper is compare the common traffic lights (CTL) to three different types of traffic lights with countdown displays (SCD) and assess their effects on road safety and capacity. This comparison is required because the results found in the literature are divergent among countries and cities, and one of the SCD analyzed in our study is different from the SCD used worldwide. An observational before-after study was conducted to evaluate the safety and capacity in a period of one year before and one year after the implementation of the SCD in three Brazilian cities. The results indicate that the SCD models 1 and 3 had around 35%±14% reduction in the total number of accidents; the model 2, does not have significant reduction. In order to perform the capacity analysis a framework for data collection and an adaptation for estimation of initial lost time in each phase were developed. Considering the capacity analysis there was a reduction around 11% in the lost time in SCD model 1, 7% in SCD model 2 and 3% in SCD model 3. However the implications of this on capacity are trifle due to a small increase in the average headways for all SCD models compare to CTL.

Review of legal literature--published between July 1974 and July 1978. Pertaining to alcohol and drug involvement in highway safety.

National Highway Traffic Safety Administration, Office of Driver and Pedestrian Safety, Washington, D.C.

Highway safety literature;

Cumulation of citations appearing in weekly issues of Highway safety literature.

Incorporating weather into regionwide safety planning prediction models

Predicting safety on roadways is standard practice for road safety professionals and has a corresponding extensive literature. The majority of safety prediction models are estimated using roadway segment and intersection (microscale) data, while more recently efforts have been undertaken to predict safety at the planning level (macroscale). Safety prediction models typically include roadway, operations, and exposure variables—factors known to affect safety in fundamental ways. Environmental variables, in particular variables attempting to capture the effect of rain on road safety, are difficult to obtain and have rarely been considered. In the few cases weather variables have been included, historical averages rather than actual weather conditions during which crashes are observed have been used. Without the inclusion of weather related variables researchers have had difficulty explaining regional differences in the safety performance of various entities (e.g. intersections, road segments, highways, etc.) As part of the NCHRP 8-44 research effort, researchers developed PLANSAFE, or planning level safety prediction models. These models make use of socio-economic, demographic, and roadway variables for predicting planning level safety. Accounting for regional differences - similar to the experience for microscale safety models - has been problematic during the development of planning level safety prediction models. More specifically, without weather related variables there is an insufficient set of variables for explaining safety differences across regions and states. Furthermore, omitted variable bias resulting from excluding these important variables may adversely impact the coefficients of included variables, thus contributing to difficulty in model interpretation and accuracy. This paper summarizes the results of an effort to include weather related variables, particularly various measures of rainfall, into accident frequency prediction and the prediction of the frequency of fatal and/or injury degree of severity crash models. The purpose of the study was to determine whether these variables do in fact improve overall goodness of fit of the models, whether these variables may explain some or all of observed regional differences, and identifying the estimated effects of rainfall on safety. The models are based on Traffic Analysis Zone level datasets from Michigan, and Pima and Maricopa Counties in Arizona. Numerous rain-related variables were found to be statistically significant, selected rain related variables improved the overall goodness of fit, and inclusion of these variables reduced the portion of the model explained by the constant in the base models without weather variables. Rain tends to diminish safety, as expected, in fairly complex ways, depending on rain frequency and intensity.

Towards a comprehensive model of driver aggression : a review of the literature and directions for the future

Driver aggression is a road safety issue of growing concern throughout most highly motorised countries, yet to date there is no comprehensive model that deals with this issue in the road safety area. This paper sets out to examine the current state of research and theory on aggressive driving with a view to incorporating useful developments in the area of human aggression from mainstream psychological research. As a first step, evidence regarding the prevalence and incidence of driver aggression, including the impact of the phenomenon on crash rates is reviewed. Inconsistencies in the definition and operationalisation of driver aggression that have hampered research in the area are noted. Existing models of driver aggression are then identified and the need to distinguish and address the role of intentionality as well as the purpose of perpetrating behaviours within both these and research efforts is highlighted. Drawing on recent findings from psychological research into general aggression, it is argued that progress in understanding driver aggression requires models that acknowledge not only the person-related and situational factors, but the cognitive and emotional appraisal processes involved in driver aggression. An effective model is expected to allow the explanation of not only the likelihood and severity of driver aggression behaviours, but also the escalation of incidents within the context of the road environment.

Driver perceptions of the benefits of reducing their driving speed on safety, emissions, and stress and road rage

The existing literature shows driving speed significantly affects levels of safety, emissions, and stress in driving. In addition, drivers who feel tense when driving have been found to drive more slowly than others. These findings were mostly obtained from crash data analyses or field studies, and less is known regarding driver perceptions of the extent to which reducing their driving speed would improve road safety, reduce their car’s emissions, and reduce stress and road rage. This paper uses ordered probit regression models to analyse responses from 3538 Queensland drivers who completed an online RACQ survey. Drivers most strongly agreed that reducing their driving speed would improve road safety, less strongly agreed that reducing their driving speed would reduce their car’s emissions and least strongly agreed that reducing their driving speed would reduce stress and road rage. Younger drivers less strongly agreed that these benefits would occur than older drivers. Drivers of automatic cars and those who are bicycle commuters agreed more to these benefits than other drivers. Female drivers agreed more strongly than males on improving safety and reducing stress and road rage. Type of fuel used, engine size, driving experience, and distance driven per week were also found to be associated with driver perceptions, although these were not found to be significant in all of the regression models. The findings from this study may help in developing targeted training or educational measures to improve drivers’ willingness to reduce their driving speed.

Proactive safety assessment in roadwork zones : a synthesis of surrogate measures of safety

Work zone safety studies have traditionally relied on historical crash records—an approach which is reactive in nature as it requires crashes to accumulate first before taking any preventive actions. However, detailed and accurate data on work zone crashes are often not available, as is the case for Australian road work zones. The lack of reliable safety records and the reactive nature of the crash-based safety analysis approach motivated this research to seek alternative and proactive measures of safety. Various surrogate measures of safety have been developed in the traffic safety literature including time to collision, time to accident, gap time, post encroachment time, required deceleration rate, proportion of stopping distances, lateral distance to departure, and time to departure. These measures express how close road-user(s) are from a potential crash by analysing their movement trajectories. A review of this fast-growing literature is presented in this paper from the viewpoint of applying the measures to untangle work zone safety issues. The review revealed that the use of the surrogate measures is very limited for analysing work zone safety, although numerous studies have used these measures for analysing safety in other parts of the road network, such as intersections and motorway ramps. There exist great opportunities for adopting this proactive safety assessment approach to transform work zone safety for both roadworkers and motorists.

An implementation guide for juvenile holdover programs.

Mode of access: Internet.

An initial assessment of the literature on the measurement, control, transport, transformation and health effects of urregulated diesel engine emissions /

Final report, January 1979.

Strategies for success: combating juvenile DUI.

Mode of access: Internet.

Human factors aspects of using head up displays in automobiles: a review of the literature.

National Highway Traffic Safety Administration, Washington, D.C.