General Estimates System
Author | : |
Publisher | : |
Total Pages | : 158 |
Release | : 1988 |
Genre | : Automobiles |
ISBN | : |
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Author | : |
Publisher | : |
Total Pages | : 158 |
Release | : 1988 |
Genre | : Automobiles |
ISBN | : |
Author | : A. R. Char |
Publisher | : |
Total Pages | : 24 |
Release | : 1995 |
Genre | : Crash injuries |
ISBN | : |
Author | : National Highway Traffic Safety Administration |
Publisher | : Createspace Independent Pub |
Total Pages | : 256 |
Release | : 2013-10-25 |
Genre | : Transportation |
ISBN | : 9781493550463 |
One of the primary objectives of the National Highway Traffic Safety Administration (NHTSA) is to reduce the staggering human toll and property damage that motor vehicle traffic crashes impose on our society. Crashes each year result in thousands of lives lost, hundreds of thousands of injured victims, and billions of dollars in property damage. Accurate data are required to support the development, implementation, and assessment of highway safety programs aimed at reducing this toll. This multi-year analytical user's manual provides documentation on variables that are contained in the GES and other useful information that will enable the users to become familiar the data system.
Author | : |
Publisher | : |
Total Pages | : 168 |
Release | : 1991 |
Genre | : Crash injuries |
ISBN | : |
This report presents estimates of selected national characteristics about the estimated 6,462,000 police-reported motor vehicle traffic crashes that occurred in the United States in 1990. While the data presented are not intended to be an exhaustive look at every aspect of crashes, they are an overview of many of the factors involved in the Nation's crashes.
Author | : |
Publisher | : |
Total Pages | : 156 |
Release | : 1990 |
Genre | : |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 160 |
Release | : 1991 |
Genre | : |
ISBN | : |
Author | : National Highway Transportation Safety Administration |
Publisher | : Createspace Independent Pub |
Total Pages | : 258 |
Release | : 2013-10-25 |
Genre | : Transportation |
ISBN | : 9781493550340 |
One of the primary objectives of the National Highway Traffic Safety Administration (NHTSA) is to reduce the staggering human toll and property damage that motor vehicle traffic crashes impose on our society. Crashes each year result in thousands of lives lost, hundreds of thousands of injured victims, and billions of dollars in property damage. Accurate data are required to support the development, implementation, and assessment of highway safety programs aimed at reducing this toll. NHTSA uses data from many sources, including the National Automotive Sampling System General Estimates System (GES) which began operation in 1988. Providing data about all types of crashes involving all types of vehicles, the GES is used to identify highway safety problem areas, provide a basis for regulatory and consumer information initiatives, and form the basis for cost and benefit analyses of highway safety initiatives. This multi-year analytical user's manual provides documentation on variables that are contained in the GES and other useful information that will enable the users to become familiar the data system.
Author | : |
Publisher | : |
Total Pages | : 32 |
Release | : 2002 |
Genre | : Crash injuries |
ISBN | : |
Author | : Terry S. T. Shelton |
Publisher | : |
Total Pages | : 126 |
Release | : 1996 |
Genre | : Traffic accidents |
ISBN | : |
Author | : Terry S. T. Shelton |
Publisher | : |
Total Pages | : 55 |
Release | : 1991 |
Genre | : |
ISBN | : |
The national accident sampling system general estimates system (GES) is operated by the National Center for Statistics and Analysis, an office within the National Highway Traffic Safety Administration's Research and Development. GES is a probability sample of approximately 45,000 motor vehicle police traffic accident reports selected on an annual basis. This technical note explains how estimates are derived from GES data and how reliable those estimates are. The set of crashes described by GES estimates, the sample selection procedures, the estimation procedure, and the reliability of the estimates in terms of sampling and nonsampling error are discussed.