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Title:

Application of the Location–Movement Classification Method for Pedestrian and Bicycle Crash Typing

Accession Number:

01588676

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/9780309441407

Abstract:

Annual pedestrian and bicycle fatalities remained steady while motor vehicle fatalities declined in the United States during the past decade; this balance underscores the need for better methods of pedestrian and bicycle safety analysis. This study presents a new method for classifying pedestrian and bicycle crashes called the location–movement classification method (LMCM) and shows that the LMCM provides useful information that is not captured by a well-established NHTSA crash typology. Both typologies were applied to a sample of 296 pedestrian and 229 bicycle crashes reported in Wisconsin between 2011 and 2013. The LMCM revealed that pedestrian crashes of all injury severity levels were significantly more likely to be on the farside than the nearside of intersections. Pedestrian crashes were significantly more likely to be fatal than nonsevere when they involved motorists traveling straight, were along roadways between intersections, and involved pedestrians approaching from the motorist’s left. Bicycle crashes were significantly more likely to be fatal than nonsevere when they involved motorists traveling straight, were along roadways between intersections, and involved motorists traveling in the same direction as the bicyclist. The LMCM can be used to support engineering, education, and enforcement treatments to reduce pedestrian and bicycle, crashes, injuries, and fatalities.

Monograph Accession #:

01624778

Report/Paper Numbers:

16-4148

Language:

English

Authors:

Schneider, Robert J
Stefanich, Joseph

Pagination:

pp 72–83

Publication Date:

2016

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2601
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309441407

Media Type:

Print

Features:

Figures (2) ; References (26) ; Tables (5)

Geographic Terms:

Subject Areas:

Data and Information Technology; Pedestrians and Bicyclists; Safety and Human Factors

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Jan 12 2016 5:49PM

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