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Title:

Modeling Injury Outcomes of Crashes Involving Heavy Vehicles in Rural and Urban Settings in Texas
Cover of Modeling Injury Outcomes of Crashes Involving Heavy Vehicles in Rural and Urban Settings in Texas

Accession Number:

01516540

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Concern related to crashes involving large trucks in rural and urban settings has increased due to the potential level of sustained injuries and associated socioeconomic impacts. However, detailed studies on crashes involving large trucks in rural and urban areas have not been conducted for the Texas interstate system. This study analyzed the factors contributing to injury severity by utilizing Texas crash data, based on discrete outcome models, which account for possible unobserved effects or heterogeneity related to drivers, vehicles, and roadway environment. The study estimated random parameter logit (i.e., mixed logit) models specific to rural and urban areas separately to predict the likelihood of five severity levels used in the Crash Records Information System (CRIS) in Texas—fatality, incapacitating, non-incapacitating, possible, and no-injury or property-damage-only. The estimated models indicate that a complex interaction of factors lead to injury severities with a flexibility of the effects to vary across the observations that is very likely to occur in the conventional crash reporting system. Separate rural and urban models unveiled the risk factors associated with driver demographics, driving behavior, traffic characteristics, temporal characteristics, roadway geometrics, and environmental characteristics. Critical factors in rural crashes resulting in severe injuries include hitting roadside fixed objects, unprotected median and median width, traffic flow, wet road surface, summer months, day of week, driver demographics (race), and unsafe driving speed. Likewise, critical factors in urban crashes resulting in severe injuries are shoulder width, median width, time of day, light condition (dark but lighted), and driver demographics (age group).

Supplemental Notes:

This paper was sponsored by TRB committee ANB70 Truck and Bus Safety.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-5238

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Islam, Mouyid
Hernandez, Salvador

Pagination:

24p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References; Tables

Geographic Terms:

Texas

Subject Areas:

Freight Transportation; Highways; Motor Carriers; Safety and Human Factors; I83: Accidents and the Human Factor; I84: Personal Injuries

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-5238

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:49PM