The joint analysis of injury severity of drivers in two-vehicle crashes accommodating seat belt use endogeneity

Abay, Kibrom A.; Paleti, Rajesh; Bhat, Chandra R.

doi:10.1016/j.trb.2013.01.007

Cited by 113 publications

(51 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A few studies have examined injury severity of multiple occupants jointly. Yasmin et al (17) and Abay et al (18) modeled the injury severity of the two drivers involved in a two-vehicle crash, while Eluru et al (19) modeled the injury severity of all occupants. They found correlated unobserved factors in injury outcomes across occupants and recommend that crash studies adopt approaches in which injury outcomes are modeled simultaneously across all vehicle occupants.…”

Section: Modeling Injury Severitymentioning

confidence: 99%

Introducing Latent Psychological Constructs in Injury Severity Modeling: Multivehicle and Multioccupant Approach

Lavieri

Bhat

Pendyala

et al. 2016

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

This paper presents a comprehensive model of injury severity that accounts for unmeasured driver behavior attributes. The results of the model have important implications for the design of safety interventions and advanced vehicular features and technologies. Engineering designs that accommodate the diminished capabilities of older drivers, include rear seat safety features, and alert drivers to frontal collisions before they occur (collision warning systems and automated braking systems) would contribute to substantial reductions in injury severity for various vehicular occupants.

show abstract

Section: Modeling Injury Severitymentioning

confidence: 99%

Introducing Latent Psychological Constructs in Injury Severity Modeling: Multivehicle and Multioccupant Approach

Lavieri

Bhat

Pendyala

et al. 2016

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

show abstract

“…Abay et al [24] developed a multivariate probit model to conduct the joint analysis of injury severities of both drivers involved in two-vehicle crashes in Denmark. They considered the endogeneity of seat belt use as well as the unobserved heterogeneity in the influences of explanatory variables.…”

Section: Advances In Mechanical Engineeringmentioning

confidence: 99%

Exploring Driver Injury Severity at Intersection: An Ordered Probit Analysis

Zhang

Cheng

2014

Advances in Mechanical Engineering

View full text Add to dashboard Cite

It is well known that intersections are the most hazardous locations; however, only little is known about driver injury severity in intersection crashes. Hence, the main goal of this study was to further examine the different factors contributing to driver injury severity involved in fatal crashes at intersections. Data used for the present analysis was from the US DOT-Fatality Analysis Reporting System (FARS) crash database from the year 2011. An ordered probit model was employed to fit the fatal crash data and analyze the factors impacting each injury severity level. The analysis results displayed that driver injury severity is significantly affected by many factors. They include driver age and gender, driver ethnicity, vehicle type and age (years of use), crash type, driving drunk, speeding, violating stop sign, cognitively distracted driving, and seat belt usage. These findings from the current study are beneficial to form a solid basis for adopting corresponding measures to effectively drop injury severity suffering from intersection crash. More insights into the effects of risk factors on driver injury severity could be acquired using more advanced statistical models.

show abstract

“…The modeling approach enables the joint modeling of the injury severity of multiple individuals involved in a crash, while also recognizing the endogeneity of seat belt use in predicting injury severity levels as well as accommodating unobserved heterogeneity in the effects of variables. The proposed model is applied to analyze the injury severity of drivers involved in two-vehicle road crashes in Denmark [6].…”

Section: Literaturementioning

confidence: 99%

An Investigation of human Factors Impact on Tehran Urban Crash Severity

Mamdoohi¹,

Nazari²,

Hossein

et al. 2014

JTLE

View full text Add to dashboard Cite

Abstract-Due to the considerable social and economic burden traffic accidents imposed on societies, strategies to reduce crash severity and potential for crash (frequency) are of interest to transportation agencies. As injury-severity data are generally represented by discrete categories such as injury and property damage only, a variety of discrete choice methodological techniques can be applied to analyze crash-severity data. This paper presents a binary model for predicting severity of Tehran urban car-car collisions which can be used in safety planning and enforcements. Human impact and collision type variables are employed to act as surrogates for point of impact. Results indicate that fastening seat belt decreases the probability of accidents resulting in injury. Furthermore, disregarding regulations, as a human reason of an accident, results in the most severe consequence (injury/fatality) compared to other human reasons. On the other extreme, as a consequence of accidents occurring due to non-human reasons, property damage only is the most probable outcome. Finally, drivers involved in front to front collision types are most prone to injury. Other factors in decreasing order are: front to rear, front to side, other types of collision, rear to side, and side to side.  Index Terms-human factor impacts, crash severity, binary logit, car-car crash

show abstract

The joint analysis of injury severity of drivers in two-vehicle crashes accommodating seat belt use endogeneity

Cited by 113 publications

References 55 publications

Introducing Latent Psychological Constructs in Injury Severity Modeling: Multivehicle and Multioccupant Approach

Introducing Latent Psychological Constructs in Injury Severity Modeling: Multivehicle and Multioccupant Approach

Exploring Driver Injury Severity at Intersection: An Ordered Probit Analysis

An Investigation of human Factors Impact on Tehran Urban Crash Severity

Contact Info

Product

Resources

About