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Title:

Identifying High-Crash-Risk Intersections: Comparison of Traditional Methods with the Empirical Bayes–Safety Performance Function Method

Accession Number:

01477596

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://www.trb.org/Publications/Blurbs/169662.aspx

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Order URL: http://worldcat.org/isbn/9780309286831

Abstract:

Identifying high-crash-risk locations, called hot spots, is an important step in improving roadway safety. Use of the empirical Bayes (EB) method coupled with the use of safety performance functions (SPFs) is considered the state of the practice in identifying such locations. However, application of the EB-SPF method requires considerable resources in preparing data, as well as statistical expertise. As a consequence, many highway agencies still rely on traditional methods that use crash frequency and crash rate to identify locations for potential safety improvements without knowing the accuracy of such methods. This study examined four traditional methods commonly used in identifying potential locations for safety improvements and compared them with the EB-SPF method. The four methods evaluated were crash frequency, crash rate, rate–quality control, and equivalent property damage only. The study was limited to four-leg intersections with either a traffic signal or two-way stop control; 2004 to 2008 data were collected for 1,670 such intersections. The study found that the crash frequency method performed the best of the four in correctly identifying the top 1% of unsafe intersections. However, the method tended to flag top hot spots incorrectly. The rate–quality control method performed the best in identifying the top 5% and 10% of unsafe intersections. The findings are expected to help highway agencies that continue to use the traditional methods choose the most appropriate method so that scarce resources available for safety improvement can be invested effectively.

Monograph Title:

Safety Management 2013

Monograph Accession #:

01495850

Report/Paper Numbers:

13-4035

Language:

English

Authors:

Lim, In-Kyu
Kweon, Young-Jun

Pagination:

pp 44–50

Publication Date:

2013

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2364
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309286831

Media Type:

Print

Features:

Figures (2) ; References (7) ; Tables (4)

Identifier Terms:

Subject Areas:

Data and Information Technology; Highways; Safety and Human Factors; I71: Traffic Theory; I80: Accident Studies

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:47PM

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