Using Integrated Data to Examine Characteristics Related to Pedestrian Injuries

Harmon, Katherine J; Sandt, Laura; Hancock, Kari; Rodgman, Eric; Thomas, Libby; University of North Carolina (System). Highway Safety Research Center

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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.

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Using Integrated Data to Examine Characteristics Related to Pedestrian Injuries

2021-09-01
By Harmon, Katherine J ; Sandt, Laura ; Hancock, Kari ; ...

[PDF-3.05 MB]

English

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Creators:

Harmon, Katherine J ; Sandt, Laura ; Hancock, Kari ; Rodgman, Eric ; Thomas, Libby

Harmon, Katherine J ; Sandt, Laura ; Hancock, Kari ; Rodgman, Eric ; Thomas, Libby Less -
Corporate Creators:

University of North Carolina (System). Highway Safety Research Center
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 ; Collaborative Sciences Center for Road Safety

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

[+]

Crash Characteristics Crash Injuries Demographics Injury Classification Injury Severity Outcome (Medical Treatment) Pedestrian Vehicle Crashes
Publication/ Report Number:

CSCRS-R22
Resource Type:

Tech Report
Geographical Coverage:

United States ; North Carolina

United States ; North Carolina Less -
Edition:

Final Report (June 2019 – May 2020)
Corporate Publisher:

Collaborative Sciences Center for Road Safety
Abstract:

This study seeks to provide a comprehensive examination of pedestrian motor vehicle crash injuries in North Carolina (NC) using linked crash and emergency department (ED) visit data for the period October 1, 2010 – September 30, 2015. Unlike the individual data sources, linked crash-ED visit data provide detailed information on the crash circumstances and the pedestrian health outcomes. Approximately, 50% of the crash data were linked to ED visit data using hierarchical deterministic methods for a study population of 6,923 injured pedestrians. This study used categorical analytic techniques (bivariate and multivariate logistic regression analysis) to examine person, crash, environment, roadway, and vehicle characteristics associated with pedestrian injury severity. This study found that pedestrian age, pedestrian gender, pedestrian race/Hispanic ethnicity, pedestrian comorbidities, striking driver age, striking driver gender, crash hour-of-day, pedestrian/driver suspected alcohol use, ambient light levels, pedestrian crash type, intersection-relatedness, and vehicle type were related to pedestrian injury severity, among other factors. In addition, linking crash and ED data facilitated a greater understanding of the types of injuries (e.g., traumatic brain injuries) associated with being struck by a motor vehicle.
Format:

PDF
Funding:

69A3551747113
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:43bd7c1a4d5a195582cd33e85c66fdfd1aa7b23f9dfcf103401662af72903b8b
Download URL:

https://rosap.ntl.bts.gov/view/dot/60564/dot_60564_DS1.pdf
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Using Integrated Data to Examine Characteristics Related to Pedestrian Injuries

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