Turner-Fairbank Highway Research Center

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Crash risk factors associated with injury severity of teen drivers

Product Type

Journal Article


Venkata Duddu, Venu Madhav Kukkapalli, and Srinivas S. Pulugurtha



Full citation

Duddu, V.R., Kukkapalli, V.Madhav., & Pulugurtha, S.S. (2019). Crash risk factors associated with injury severity of teen drivers. IATSS Research, 43(1), pp 37-43.


This paper focuses on identifying crash risk factors associated with injury severity of teen drivers. Crash data obtained from the Highway Safety and Information System (HSIS) for the entire state of North Carolina, for years 2011 to 2013, was used for analysis and modeling. Among all the crashes during the study period, a total of 62,990 crashes involving teen drivers (15 to 19-years) were analyzed. A partial proportionality odds model was developed to identify factors contributing to injury severity of teen drivers. The results obtained indicate that teen drivers driving sports utility vehicles and pickup trucks are more likely to be severely injured when compared to teen drivers driving passenger cars. Teen drivers are more likely to be severely injured on weekdays, particularly during peak hours. The chances of teen drivers getting involved in severe injury crashes on Tuesdays and Fridays is higher when compared to Sundays. Age, gender, road configuration, terrain, adverse weather condition, and access control are observed to have a significant effect on teen driver's injury severity.

Available From

IATSS Research

Link To Journal Article

Link not available.


Teen drivers
Injury severity
Contributing factor
Partial proportionality odds model

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HSIS Summaries

HSIS Summary Reports are two to eight pages in length and include a brief description of the issue addressed, data used, methodology applied, significant results, and practical implications.

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Research Reports

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Research reports are often summarized in executive summaries, technical briefs, or other abbreviated formats. Included here are those road safety summaries that involved research using HSIS data.

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