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Volume 19: A Guide for Collecting and Analyzing Safety Highway Safety Data
Data and Analysis Essential in Selecting Effective Strategy
Safety data are integral to decisions aimed at solving one of the largest public health problems faced by the United States – highway crashes.
This guide was produced to assist state and local users in locating and analyzing pertinent safety data for use in their planning effort for any of the 22 emphasis areas of the AASHTO Strategic Highway Safety Plan. It provides analytical methods that can assist safety analysts in choosing and targeting safety improvement strategies. And it provides guidance on sources of safety data, the procedures for choosing the best strategies and countermeasures within a given emphasis area, and targeting those strategies to either roadway locations or road-user subgroups.
The procedures and steps necessary in the data-related aspects of emphasis-area planning were developed to be applicable both in jurisdictions that may have extensive safety data files (i.e., crash, roadway inventory, intersection inventory, traffic) and those with limited safety data (i.e., crash data only).
Objectives:
- Specify a basic three-stage procedure to be used in developing an emphasis area plan.
- Define data-related procedures for roadway, road users and vehicle-related emphasis areas that will assist the user to choose and target appropriate strategies.
- Define procedures that can be used with three levels of safety data and treatment effectiveness.
- Customize the procedures and data descriptions for different groups of emphasis areas.
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NCHRP 500-19
Safety Data
Collection
And Analysis
This guide is applicable both in jurisdictions that may have extensive safety data files (i.e., crash, roadway inventory, intersection inventory, traffic) and those with limited safety data (i.e., crash data only).
Download the guide in PDF
View the Guide and Appendices in HTML
Order a printed copy
Related publications
Safety Data One-Pager
Self Assessment Tool
Integrated Safety Management Process |