The Highway Safety Improvement Program (HSIP) 2021: Using Data to Drive HSIP Investments

i

The Highway Safety Improvement Program (HSIP) 2021: Using Data to Drive HSIP Investments

2023-02-17
By United States. Department of Transportation. Federal Highway Administration

File Language:

English

Details

Corporate Creators:

United States. Department of Transportation. Federal Highway Administration
Corporate Contributors:

United States. Department of Transportation. Federal Highway Administration. Office of Safety
Subject/TRT Terms:
Publication/ Report Number:

FHWA-SA-22-072
Resource Type:

Brief
Right Statement:

Public Domain
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Federal Highway Administration
Abstract:

The first step to a safer roadway system is good data. The traditional approach to addressing traffic safety identifies safety issues after crashes occur. Using quality data to identify and mitigate contributing circumstances can reduce crash severity and help prevent future crashes. Quality data provides transportation professionals a means to make better decisions, select more strategic investments, and improve overall network safety. Two types of data-driven safety analysis help transportation agencies quantify safety impacts and identify high-risk roadways: 1. Predictive Analysis — Practitioners and the public make decisions based on a roadway’s projected safety performance using crash, roadway feature, and traffic volume data. 2. Systemic Analysis — Practitioners use crash and roadway data to identify and target improvements at locations throughout a network that share risk characteristics for serious crashes. The HSIP can help fund projects that improve the ways agencies collect and analyze data.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/89929/dot_89929_DS1.pdf
File Type:

[PDF - 235.09 KB]
Collection(s):

Federal Highway Administration
Main Document Checksum:

urn:sha-512:96b92958e5ff9c5129f1e661a4ca8b9d1513cab9f5ef22465a07ee32aa4c0f1893928cfb715520d44fe100af9db60ef05806703d415c8d196d9a0db974ae6fe1

File Language:

English

ON THIS PAGE

Details

Found an issue?

Send us an email at:

publishinghd@cdc.gov

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.