Building Equitable Safe Streets for All: Data-Driven Approach and Computational Tools

Dadashova, Bahar; Ye, Xinyue; Brown, Charles; Zhu, Chunwu; Sohrabi, Soheil; Potts, Ingrid B.; Texas A&M Transportation Institute; Safety through Disruption (Safe-D) University Transportation Center (UTC)

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Building Equitable Safe Streets for All: Data-Driven Approach and Computational Tools

2023-05-01
Datasets Available
By Dadashova, Bahar ; Ye, Xinyue ; Brown, Charles ; ...

[PDF-1.82 MB]

English

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Creators:

Dadashova, Bahar ; Ye, Xinyue ; Brown, Charles ; Zhu, Chunwu ; Sohrabi, Soheil ; ... More +

Dadashova, Bahar ; Ye, Xinyue ; Brown, Charles ; Zhu, Chunwu ; Sohrabi, Soheil ; Potts, Ingrid B. Less -
Corporate Creators:

Texas A&M Transportation Institute ; Safety through Disruption (Safe-D) University Transportation Center (UTC)

Texas A&M Transportation Institute ; Safety through Disruption (Safe-D) University Transportation Center (UTC) Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Data Analysis Data Collection Highway Safety Plan Implementation Transportation Planning
Publication/ Report Number:

06-001
Resource Type:

Tech Report
Geographical Coverage:

Houston (Texas) ; United States

Houston (Texas) ; United States Less -
Edition:

Final Report
Corporate Publisher:

Safety through Disruption (Safe-D) University Transportation Center (UTC)
Abstract:

Roadway safety in low-income and ethnically diverse U.S. communities has long been a major concern. This research was designed to address this issue by developing a data-driven approach and computational tools to quantify equity issues in roadway safety. This report employed data from Houston, Texas, to explore (1) the relationship between road infrastructure and communities’ socioeconomic and demographic characteristics and its association with traffic safety in low-income, ethnically diverse communities and (2) the type of driver behaviors and characteristics that affect crash risks in underserved communities.
Format:

PDF
Funding:

69A3551747115/06-001
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:19d7365cd14103e89217eca94a3e294713f4d17699366e176b6cfe308b916ac4
Download URL:

https://rosap.ntl.bts.gov/view/dot/73245/dot_73245_DS1.pdf
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No Additional Files

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Building Equitable Safe Streets for All: Data-Driven Approach and Computational Tools

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