Using Severity-Weighted Risk Scores To Prioritize Safety Funding in Utah

Schultz, Grant G.; Aristizabal, Tomas Barriga; Ritchie, Jace; Warr, Richard L

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Using Severity-Weighted Risk Scores To Prioritize Safety Funding in Utah

2023-09-01
By Schultz, Grant G. ; Aristizabal, Tomas Barriga ; Ritchie, Jace

File Language:

English

Details

Creators:

Schultz, Grant G. ; Aristizabal, Tomas Barriga ; Ritchie, Jace ; Warr, Richard L
Corporate Creators:

Brigham Young University. Department of Civil and Construction Engineering
Corporate Contributors:

Utah. Department of Transportation. Research and Innovation Division ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

UT-23.15
Resource Type:

Tech Report
Geographical Coverage:

United States ; Utah
Edition:

Final Report Jun 2021 to September 2023
Corporate Publisher:

Utah Department of Transportation
Abstract:

Budgets for transportation improvements are limited so it is important for governments to focus on improving locations most in need of safety funding. The objective of the Two-Output Model for Safety (TOMS) is to provide the Utah Department of Transportation (UDOT) with a reliable method to prioritize safety improvements on state-owned roadways among the different regions. This research will improve the existing Crash Analysis Methodology for Segments (CAMS) and Intersection Safety Analysis Methodology (ISAM) being used to analyze crashes on Utah roadways. The scope of this project is improving on the existing CAMS and ISAM to work together within R, to incorporate segment and intersection severity in safety hot spot analysis, to develop overall severity distributions, and to develop limited recommendations and conclusions related to the research.
Format:

PDF
Funding:

21-8977
Download URL:

https://rosap.ntl.bts.gov/view/dot/72587/dot_72587_DS1.pdf
File Type:

[PDF - 2.24 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:4a101a270f6b1ae6ac1795fec5cd940b8f0b0c1d8c4be257d5687a9cb0fa3fd555e1d2212937f6bb0aa2fcab21612580ace4fce151193cfe5f5989cc74a0387c

File Language:

English

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