Toward understanding the recent large reductions in U.S. road fatalities.

Sivak, Michael; Schoettle, Brandon

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Toward understanding the recent large reductions in U.S. road fatalities.

2010-05-01
By Sivak, Michael ; Schoettle, Brandon

File Language:

English

Details

Creators:

Sivak, Michael ; Schoettle, Brandon
Corporate Creators:

University of Michigan. Transportation Research Institute
Corporate Contributors:

University of Michigan. Sustainable Worldwide Transportation
Subject/TRT Terms:
Publication/ Report Number:

UMTRI-2010-12
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

University of Michigan. Transportation Research Institute
Abstract:

From 2005 to 2009, U.S. road fatalities dropped by 22% (from 43,510 to 33,963). ; A reduction of such magnitude over such a short time has not occurred since road-safety ; statistics were first kept (starting in 1913), except for the reductions during World War II. ; The present study was performed to contribute to our understanding about the ; mechanisms that could be responsible for this unprecedented drop in road fatalities by ; analyzing the detailed information from FARS (Fatality Analysis Reporting System)—a ; census of all U.S. crashes that involve a fatality. Specifically, this study compared the data ; for 2005 (the recent peak year in terms of road fatalities) with the data for 2008 (the latest ; year for which detailed data are available). The focus was on identifying those conditions ; that showed the largest reductions and those that showed the smallest reductions (or ; increases of any magnitude). The analysis involved an examination of all 269 variables in ; the FARS database, which is divided into accident, vehicle, driver, occupant, and ; nonmotorist subsets. The report highlights the most interesting patterns of changes for 19 ; variables.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/18020/dot_18020_DS1.pdf
File Type:

[PDF - 1.08 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:1b06baf23f849bd91d136a1f82323909ea5101f09a132d1549fc3e8a1cb4eab8

File Language:

English

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