Truck-involved crashes injury severity analysis for different lighting conditions on rural and urban roadways

•This study examines occupant injury severities in truck-involved crashes in Ohio.•Three lighting conditions (daylight, dark, and dark-lighted) and two area types (rural and urban) are analyzed.•Mixed logit models are developed and significant contributing factors are identified.•Age and gender, tru...

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Bibliographic Details
Published in:Accident analysis and prevention 2017-11, Vol.108, p.44-55
Main Authors: Uddin, Majbah, Huynh, Nathan
Format: Article
Language:English
Subjects:
Accidents, Traffic - statistics & numerical data
Adult
Female
Freight
Humans
Injury severity
Lighting
Lighting condition
Logistic Models
Male
Middle Aged
Mixed logit
Motor Vehicles
Ohio
Rural Population
Truck-involved crash
Urban Population
Weather
Wounds and Injuries - epidemiology
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Summary:•This study examines occupant injury severities in truck-involved crashes in Ohio.•Three lighting conditions (daylight, dark, and dark-lighted) and two area types (rural and urban) are analyzed.•Mixed logit models are developed and significant contributing factors are identified.•Age and gender, truck types, AADT, speed, and weather have significantly different levels of impact. This paper investigates factors affecting injury severity of crashes involving trucks for different lighting conditions on rural and urban roadways. It uses 2009–2013 Ohio crash data from the Highway Safety Information System. The explanatory factors include the occupant, vehicle, collision, roadway, temporal and environmental characteristics. Six separate mixed logit models were developed considering three lighting conditions (daylight, dark, and dark-lighted) on two area types (rural and urban). A series of log-likelihood ratio tests were conducted to validate that these six separate models by lighting conditions and area types are warranted. The model results suggest major differences in both the combination and the magnitude of impact of variables included in each model. Some variables were significant only in one lighting condition but not in other conditions. Similarly, some variables were found to be significant in one area type but not in other area type. These differences show that the different lighting conditions and area types do in fact have different contributing effects on injury severity in truck-involved crashes, further highlighting the importance of examining crashes based on lighting conditions on rural and urban roadways. Age and gender of occupant (who is the most severely injured in a crash), truck types, AADT, speed, and weather condition were found to be factors that have significantly different levels of impact on injury severity in truck-involved crashes.
ISSN:0001-4575
1879-2057
DOI:10.1016/j.aap.2017.08.009