Identification of High Pedestrian Crash Locations [Tech Brief]

Fitzpatrick, Kay; Avelar, Raul Eduardo; Turner, Shawn M.

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Identification of High Pedestrian Crash Locations [Tech Brief]

2018-03-01
By Fitzpatrick, Kay ; Avelar, Raul Eduardo ; Turner, Shawn M.

File Language:

English

Details

Creators:

Fitzpatrick, Kay ; Avelar, Raul Eduardo ; Turner, Shawn M.
Corporate Creators:

United States. Department of Transportation. Federal Highway Administration. Office of Research, Development, and Technology
Contributors:

Do, Ann
Corporate Contributors:

Turner-Fairbank Highway Research Center
Subject/TRT Terms:
Publication/ Report Number:

FHWA-HRT-17-108
Resource Type:

Brief
Geographical Coverage:

United States
Corporate Publisher:

United States. Federal Highway Administration. Office of Research, Development, and Technology
Abstract:

One of the U.S. Department of Transportation’s top priorities is the improvement of pedestrian and bicyclist safety. The Federal Highway Administration (FHWA) promotes safe, comfortable, and convenient walking for people of all ages and abilities. Part of this effort has been to encourage a data-driven approach to identifying and mitigating safety problems. An initial step in reducing the frequency of pedestrian crashes is identifying where they occur or where there is a concern that they are likely to occur. As part of an FHWA project, the Guidebook on Identification of High Pedestrian Crash Locations was developed to assist State and local agencies in identifying high pedestrian crash locations, such as intersections (points), segments, facilities, and areas.(1) The process of identifying high pedestrian crash locations resulted in a prioritized list of potential locations on the roadway system that could benefit from safety improvement projects.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/40256/dot_40256_DS1.pdf
File Type:

[PDF - 130.35 KB]
Collection(s):

Federal Highway Administration
Main Document Checksum:

urn:sha-512:a9e8110fd5c1b0b555e22b56662e97a017529be3485567fd850efdaa544613bf4536960dbdf7a02cd7a9463d03ff3d876ae27f091dfe18b4f6093a682470e1ae

File Language:

English

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