Crash data validation - Info and Reading Options
an Iowa case study
By Reginald R. Souleyrette
"Crash data validation" was published by Cener for Transportation Research and Education, Iowa State University in 2007 - Ames, Iowa and the language of the book is English.
“Crash data validation” Metadata:
- Title: Crash data validation
- Author: Reginald R. Souleyrette
- Language: English
- Publisher: ➤ Cener for Transportation Research and Education, Iowa State University
- Publish Date: 2007
- Publish Location: Ames, Iowa
“Crash data validation” Subjects and Themes:
- Subjects: ➤ Databases - Traffic accidents - Data processing - Evaluation - Accident analysis - Accident records - Accident reports - Iowa. Office of Driver Services - Iowa - Iowa. Office of Traffic and Safety
- Places: Iowa
Edition Specifications:
- Pagination: 1 v. (various pagings)
Edition Identifiers:
- The Open Library ID: OL31790890M - OL24094440W
- Online Computer Library Center (OCLC) ID: 85812638
- Library of Congress Control Number (LCCN): 2007467301
AI-generated Review of “Crash data validation”:
"Crash data validation" Description:
The Open Library:
With the quickening pace of crash reporting, the statistical editing of data on a weekly basis, and the ability to provide working databases to users at CTRE/Iowa Traffic Safety Data Service, the University of Iowa, and the Iowa DOT, databases that would be considered incomplete by past standards of static data files are in "public use" even as the dynamic nature of the central DOT database allows changes to be made to both the aggregate of data and to the individual crashes already reported. Moreover, the "definitive" analyses of serious crashes will, by their nature, lag seriously behind the preliminary data files. Even after these analyses, the dynamic nature of the mainframe data file means that crash numbers can continue to change long after the incident year. The Iowa DOT, its Office of Driver Services (the "data owner"), and institutional data users/distributors must establish data use, distribution, and labeling protocols to deal with the new, dynamic nature of data. In order to set these protocols, data must be collected concerning the magnitude of difference between database records and crash narratives and diagrams. This study determines the difference between database records and crash narratives for the Iowa Department of Transportation's Office of Traffic and Safety crash database and the impacts of this difference.
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