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Title:

Investigating the Interplay between the Attributes of At-fault and Not-at-Fault Drivers and the Associated Impacts on Crash Injury Occurrence and Severity Level

Accession Number:

01595800

Record Type:

Component

Abstract:

The paper proposes a two-staged modelling approach to identify the association between one vehicle’s attributes and the injury severity of victims in the partnering vehicle in two-vehicle crashes. The two-staged modelling approach involves using a bivariate binary probit model to first determine the probability of injury and the corresponding probability of no injury occurring, followed by the use of a bivariate ordered probit model to further investigate the conditional probability of the specific severity level (conditioned on the prior assumption that an injury already occurred). The empirical models are estimated by using a dataset containing all reported traffic crashes that occurred between 2006 and 2010 in the City of Toronto. In this study, the victims involved in each crash are categorized by the vehicles they were in as “not-at-fault” and “at-fault”. Factors that are found to be associated with increases in the probability of more severe injuries of not-at-fault vehicles are the driving condition (drunk, fatigue and inattentive driving), driving action, driving manoeuver, impact type, and whether a truck or a bus is found to be the at-fault vehicle in the crash. Although the findings in this case merely confirm, in general, what may already be known from other studies, the exercise does demonstrate that the modelling approach used can reveal meaningful insights by understanding how one attribute could behave differently for the not-at-fault and at-fault vehicles.

Supplemental Notes:

This paper was sponsored by TRB committee ANB00 Section - Safety. Alternate title: Investigating the Interplay between Attributes of At-fault and Not-at-Fault Drivers and the Associated Impacts on Crash Injury Occurrence and Severity Level.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-6464

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Li, Lu
Hasnine, Sami
Habib, Khandker M Nurul
Persaud, Bhagwant
Shalaby, Amer

Pagination:

19p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Toronto (Canada)

Subject Areas:

Data and Information Technology; Highways; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-6464

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 6:51PM