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Title:

Safety Effectiveness of Leading Pedestrian Intervals using Empirical Bayes Method

Accession Number:

01123265

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

There is a need to investigate strategies to reduce pedestrian-vehicle crashes at intersections. The leading pedestrian interval (LPI) has been recommended as one strategy for reducing pedestrian-vehicle crashes at signalized intersections; however, there has been limited research to quantify the safety effects of the LPI. Site characteristics, traffic volumes, pedestrian volumes, and crash data were obtained for 10 signalized intersections where the LPI was implemented in State College, Pennsylvania. Similar data were obtained for 63 reference sites within the State College area. An empirical Bayes approach was incorporated in a before-after study design to evaluate the safety effectiveness of the LPI implementations. The aggregate analysis indicated a 37 percent reduction in pedestrian-vehicle crashes, which is significant at the 90 percent confidence level. A disaggregate analysis indicated that crash reductions are significantly greater at intersections with larger pedestrian volumes. Given the low-cost of this strategy, a modest reduction in crashes is needed to justify their use. Based on the estimated safety effectiveness, the necessary crash reduction is easily achievable.

Monograph Accession #:

01120148

Report/Paper Numbers:

09-1308

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Fayish, Aaron C
Gross, Frank

Pagination:

14p

Publication Date:

2009

Conference:

Transportation Research Board 88th Annual Meeting

Location: Washington DC, United States
Date: 2009-1-11 to 2009-1-15
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

Figures (2) ; References (14) ; Tables (4)

Geographic Terms:

Subject Areas:

Highways; Operations and Traffic Management; Safety and Human Factors; I83: Accidents and the Human Factor

Source Data:

Transportation Research Board Annual Meeting 2009 Paper #09-1308

Files:

TRIS, TRB

Created Date:

Jan 30 2009 5:33PM