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Title:

A Latent Segmentation Generalized Ordered Logit Model to Examine Factors Influencing Driver Injury Severity

Accession Number:

01519744

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

This paper formulates and estimates an econometric model, referred to as the latent segmentation based ordered logit (LSGOL) model, for examining driver injury severity. The proposed model probabilistically segments drivers (involved in a crash) into different injury risk segments based on crash characteristics to recognize that the impacts of exogenous variables on driver injury severity level can vary across drivers based on both observed and unobserved crash characteristics. The proposed model is estimated using data drawn from Victoria Crash Database from Australia for the years 2006 through 2010. The model estimation incorporates the influence of a comprehensive set of exogenous variables grouped into six broad categories: crash characteristics, driver characteristics, vehicle characteristics, roadway design attributes, environmental factors and situational factors. The results clearly highlight the need for segmentation based on crash characteristics. The crash characteristics that affect the allocation of drivers into segments include: collision object, trajectory of vehicle’s motion and manner of collision. Further, the key factors resulting in severe driver injury severity are driver age 65 and above, driver ejection, not wearing seat belts, and collision in a high speed zone. The factors reducing injury severity include presence of pedestrian control, presence of roundabout, driving a panel van, unpaved road condition and presence of passenger.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ80 Statistical Methods. Alternate title: Latent Segmentation Generalized Ordered Logit Model to Examine Factors Influencing Driver Injury Severity

Monograph Accession #:

01503729

Report/Paper Numbers:

14-4544

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Yasmin, Shamsunnahar
Eluru, Naveen
Bhat, Chandra R

ORCID 0000-0002-0715-8121

Tay, Richard

Pagination:

25p

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:

Figures; References; Tables

Uncontrolled Terms:

Data segmentation

Geographic Terms:

Victoria (Australia)

Subject Areas:

Highways; Safety and Human Factors; I80: Accident Studies

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-4544

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:35PM