Using linked data to evaluate medical and financial outcomes of motor vehicle crashes in Connecticut.

Federal Highway Administration, Washington, D.C.

Using linked data to evaluate severity and outcome of injury by type of object struck (first object struck only) for motor vehicle crashes in Connecticut.

Federal Highway Administration, Washington, D.C.

Evaluation of research on surrogates for humans in motor vehicle crashes.

Transportation Department, Washington, D.C.

Iowa Motor Vehicle Crashes 1925 to 2014

Iowa motor vehicle crashes spreadsheet, years 1925-2014

Spatial Scale of Clustering of Motor Vehicle Crash Types and Appropriate Countermeasures, 2009

This project analyzes the characteristics and spatial distributions of motor vehicle crash types in order to evaluate the degree and scale of their spatial clustering. Crashes occur as the result of a variety of vehicle, roadway, and human factors and thus vary in their clustering behavior. Clustering can occur at a variety of scales, from the intersection level, to the corridor level, to the area level. Conversely, other crash types are less linked to geographic factors and are more spatially “random.” The degree and scale of clustering have implications for the use of strategies to promote transportation safety. In this project, Iowa's crash database, geographic information systems, and recent advances in spatial statistics methodologies and software tools were used to analyze the degree and spatial scale of clustering for several crash types within the counties of the Iowa Northland Regional Council of Governments. A statistical measure called the K function was used to analyze the clustering behavior of crashes. Several methodological issues, related to the application of this spatial statistical technique in the context of motor vehicle crashes on a road network, were identified and addressed. These methods facilitated the identification of crash clusters at appropriate scales of analysis for each crash type. This clustering information is useful for improving transportation safety through focused countermeasures directly linked to crash causes and the spatial extent of identified problem locations, as well as through the identification of less location-based crash types better suited to non-spatial countermeasures. The results of the K function analysis point to the usefulness of the procedure in identifying the degree and scale at which crashes cluster, or do not cluster, relative to each other. Moreover, for many individual crash types, different patterns and processes and potentially different countermeasures appeared at different scales of analysis. This finding highlights the importance of scale considerations in problem identification and countermeasure formulation.

Trends in motor vehicle crash mortality in Europe, 1980-2007.

Recent trends (1980-2007) in mortality from road traffic crashes in European countries, and, for comparative purposes, in the USA and Japan were reviewed. Data came from the World Health Organisation database. Age-standardised rates, at all ages and at 15-24, 25-64, >=65 years, were computed. Joinpoint regression analyses to evaluate significant changes in trends were performed. In the European Union as a whole rates declined from 20.2 in 1987 to 13.5/100,000 in 2007 in men, and from 6.3 to 3.7/100,000 in women; European Union rates remained lower than USA, but higher than Japanese ones. In 2007, the highest male rates were in Lithuania (36.7/100,000), the Russian Federation (35.2), Ukraine (29.8), and Latvia (28.5), and the lowest ones in the Netherlands (6.2) and Sweden (6.9); the highest female rates were in the Russian Federation (11.3), Lithuania (9.7), Belarus, Latvia, and Ukraine (around 8), and the lowest ones in Switzerland (1.7), the UK, and Nordic countries (around 2). Mortality from motor vehicle crashes declined in northern and western European countries and - though to a lesser extent - in southern European countries, too. Mortality trends were also favourable in the Czech Republic and Poland since the mid 1990's, whereas they were still upwards in Romania and the Russian Federation. No trend was observed in Hungary and Ukraine. Trends were consistent in various age groups considered. Thus, additional urgent and integrated intervention is required to prevent avoidable deaths from motor vehicle crashes, particularly in selected central and eastern European countries.

Traffic safety facts 2003: a compilation of motor vehicle crash data from the Fatality Analysis Reporting System and the General Estimates System.

Both systems were designed and developed by NHTSA's National Center for Statistics and Analysis (NCSA) to provide an overall measure of highway safety, to help identify traffic safety problems, to suggest solutions, and to help provide an objective basis on which to evaluate the effectiveness of motor vehicle safety standards and highway safety initiatives. Data from these systems are used to answer requests for information from the international and national highway traffic safety communities, including state and local governments, the Congress, Federal agencies, research organizations, industry, the media, and private citizens.

Motor Vehicle Accident Fatalities for the Week Ending, February 24, 2006

Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.

Motor Vehicle Accident Fatalities for the Week Ending, February 3, 2006

Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.

Motor Vehicle Accident Fatalities for the Week Ending, March 3, 2006

Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.

Motor Vehicle Accident Fatalities for the Week Ending, March 17, 2006

Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.

Motor Vehicle Accident Fatalities for the Week Ending, March 31, 2006

Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.

Motor Vehicle Accident Fatalities for the Week Ending, February 10, 2006

Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.