Two-vehicle side impact crashes: The relationship of vehicle and crash characteristics to injury severity

Farmer, Charles M.; Braver, Elisa R.; Mitter, Eric L.

doi:10.1016/s0001-4575(97)00006-7

Cited by 119 publications

(45 citation statements)

References 3 publications

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“…Pickups and SUVs, however, inflict more damage on the driver's of other vehicles, and they are more prone to rollovers (Farmer et al 1997, AP 2000, O'Donnell, C. J., and Connor, D. H. (1996) Predicting the severity of motor vehicle accident injuries using models of ordered multiple choice. Accident Analysis and Prevention,28 (6) …”

Section: Resultsmentioning

confidence: 99%

“…(Farmer et al 1997) Inclusion of a speed variable changed the signs on the left-side impact and late Saturday night variables, but these were not statistically significant. Only Friday late-night driving was statistically significant among the three late-night driving indicators; however, it loses its G G significance in the two-vehicle-crash models.…”

Section: Models Of All Crash Recordsmentioning

confidence: 92%

“…Farmer et al (1997) used a binomial regression model to investigate the impact of vehicle and crash characteristics on injury severity in two-vehicle side-impact crashes. They found that rollover or ejection from the vehicle increases the likelihood of a serious injury or death (i.e., injuries with an Abbreviated Injury Scale of at least 3) and that light-duty trucks (which they defined as pickups and utility vehicles -not vans -under 10,000 pounds of gross-vehicle weight G G…”

Section: G Gmentioning

confidence: 99%

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Driver injury severity: an application of ordered probit models

Kockelman¹,

Kweon²

2002

Accident Analysis & Prevention

485

230

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This paper describes the use of ordered probit models to examine the risk of different injury levels sustained under all crash types, two-vehicle crashes, and single-vehicle crashes.The results suggest that pickups and sport utility vehicles are less safe than passenger cars under single-vehicle crash conditions. In two-vehicle crashes, however, these vehicle types are associated with less severe injuries for their drivers -and more severe injuries for occupants of their collision partners. Other conclusions also are presented; for example, the results indicate that males and younger drivers in newer vehicles at lower speeds sustain less severe injuries. KEY WORDSAccident/crash modeling, Driver injury, Light-duty trucks, Crashworthiness, Vehicle aggressivity G G

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Section: Resultsmentioning

confidence: 99%

Section: Models Of All Crash Recordsmentioning

confidence: 92%

Section: G Gmentioning

confidence: 99%

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Driver injury severity: an application of ordered probit models

Kockelman¹,

Kweon²

2002

Accident Analysis & Prevention

485

230

View full text Add to dashboard Cite

show abstract

“…Amongst them, Evans and his associates (1985, 1987, 1992, 1993, and 1994) and Ducan, Khattak and Council (1998) investigated the relationship between vehicle masses and the degree of injuries. On the other hand, Haland, Lovsudn and Nygren (1993), Viner (1995a and1995b), Farmer, Braver and Mitter (1997), Renski and his group (1999), Krull et al (2000), Lee et al (2002), Treachy et al (2002), Yamamoto and Shankar (2002) have studied severity of injuries based on crash characteristics whereas Jones and Whitfield (1988), Sjogren et al (1993), Abdel-Aty et al (1998), Mercer (1987), Bedard et al (2002), Lang et al (1996), Lu (2002a and2002b) focused on the age of drivers affecting severity. Previous researches have also identified the relationship between type of vehicles and severity.…”

Section: Introductionmentioning

confidence: 99%

Accident severity analysis using ordered probit model

Rifaat

Chin

2007

J of Advced Transportation

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To reduce injuries in road crashes, better understanding is needed between the relationship of injury severity and risk factors. This study seeks to identify the contributing factors affecting crash severity with broad considerations of driver characteristics, roadway features, vehicle types, pedestrian characteristics and crash characteristics using an ordered probit model. It also explores how the interaction of these factors will affect accident severity risk. Three types of accidents were investigated: two-vehicle crashes, single vehicle crashes and pedestrian accidents. The reported crash data in Singapore from 1992 to 2001 were used to illustrate the process of parameter estimation. Several factors such as vehicle type, road type, collision type, location type, pedestrian age, time of day of accident occurrence were found to be significantly associated with injury severity. It was also found that injury severity decreases over time for the three types of accident investigated.

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“…A driver involved in a side impact has a fatality risk twice as high as that of drivers involved in frontal impacts (Farmer et al 1997). Near-side occupants are at higher risk than far-side occupants and account for more than 70% of all side impact injuries (Laberge-Nadeau et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Differences in Long-term Medical Consequences Depending on Impact Direction Involving Passenger Cars

Stigson¹,

Gustafsson

Sunnevång

et al. 2015

Traffic Injury Prevention

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Objective: There is limited knowledge of the long-term medical consequences for occupants injured in car crashes in various impact directions. Thus, the objective was to evaluate whether injuries leading to permanent medical impairment differ depending on impact direction.Methods: In total, 36,743 injured occupants in car crashes that occurred between 1995 and 2011 were included. All initial injuries (n = 61,440) were classified according to the Abbreviated Injury Scale (AIS) 2005. Injured car occupants were followed for at least 3 years to assess permanent medical impairment. The data were divided into different groups according to impact direction and levels of permanent impairment. The risk of permanent medical impairment was established for different body regions and injury severity levels, according to AIS.Results: It was found that almost 12% of all car occupants sustained a permanent medical impairment. Given an injury, car occupants involved in rollover crashes had the highest overall risk to sustain a permanent medical impairment. Half of the head injuries leading to long-term consequences occurred in frontal impacts. Far-side occupants had almost the same risk as near-side occupants. Occupants who sustained a permanent medical impairment from cervical spine injuries had similar risk in all impact directions (13%) except from rollover (17%). However, these injuries occurred more often in rear crashes. Most of the injuries leading to long-term consequences were classified as minor injuries by AIS for all impact directions.Conclusions: Studying crash data from a perspective of medical impairment is important to identify injuries that might not be prioritized only considering the AIS but might lead to lower quality of life for the occupant and also costs for society. These results can be used for road transport system strategies and for making priority decisions in vehicle design.

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Two-vehicle side impact crashes: The relationship of vehicle and crash characteristics to injury severity

Cited by 119 publications

References 3 publications

Driver injury severity: an application of ordered probit models

Driver injury severity: an application of ordered probit models

Accident severity analysis using ordered probit model

Differences in Long-term Medical Consequences Depending on Impact Direction Involving Passenger Cars

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