Random parameter probit models to analyze pedestrian red-light violations and injury severity in pedestrian–motor vehicle crashes at signalized crossings

2019 ◽  
Vol 12 (6) ◽  
pp. 818-837 ◽  
Author(s):  
Jie Wang ◽  
Helai Huang ◽  
Pengpeng Xu ◽  
Siqi Xie ◽  
S. C. Wong
Keyword(s):  
Injury Severity ◽  
Motor Vehicle ◽  
Red Light ◽  
Random Parameter ◽  
Motor Vehicle Crashes ◽  
Vehicle Crashes ◽  
Probit Models

Age and pedestrian injury severity in motor-vehicle crashes: A heteroskedastic logit analysis

2008 ◽  
Vol 40 (5) ◽  
pp. 1695-1702 ◽  
Author(s):  
Joon-Ki Kim ◽  
Gudmundur F. Ulfarsson ◽  
Venkataraman N. Shankar ◽  
Sungyop Kim
Keyword(s):  
Injury Severity ◽  
Motor Vehicle ◽  
Motor Vehicle Crashes ◽  
Logit Analysis ◽  
Vehicle Crashes ◽  
Pedestrian Injury

Mixed logit analysis of bicyclist injury severity resulting from motor vehicle crashes at intersection and non-intersection locations

2011 ◽  
Vol 43 (3) ◽  
pp. 621-630 ◽  
Author(s):  
Darren N. Moore ◽  
William H. Schneider ◽  
Peter T. Savolainen ◽  
Mohamadreza Farzaneh
Keyword(s):  
Injury Severity ◽  
Motor Vehicle ◽  
Mixed Logit ◽  
Motor Vehicle Crashes ◽  
Logit Analysis ◽  
Vehicle Crashes

Motor Vehicle Crashes Involving Railroad Crossing Signal Masts and Guardrails

2019 ◽  
Vol 2673 (12) ◽  
pp. 191-203
Author(s):  
Justin D. Cyr ◽  
John W. Shaw ◽  
Peter T. Savolainen
Keyword(s):  
United States ◽  
Regression Models ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Motor Vehicle Crashes ◽  
Future Research ◽  
Vehicle Crashes ◽  
Principal Element ◽  
Crash Rates ◽  
Serious Injuries

The installation of “active” warning devices, such as crossing signals and gates, is a principal element of state and federal railroad crossing safety programs, and their effectiveness in preventing vehicle–train collision is well documented. While most active crossings are occupied by trains only a few minutes each day, non-crashworthy items are frequently present at active crossings including crossing signal masts, crossing gate mechanisms, cantilever supports, and signal controller bungalows. Various agencies utilize longitudinal guardrail systems to protect errant motorists from striking non-frangible crossing signal hardware. This study sought to determine whether such guardrails influence the prevalence and severity of motor vehicle strikes involving crossing hardware. A review of 10 years of police crash-report narratives in Iowa, United States (U.S.) indicates an average of 15.6 crashes per year at 1,853 crossings involving signal masts, signal guardrails, or related infrastructure. Over this period, one fatality and five serious injuries occurred as a result of these crashes. The crash-injury severity distributions appeared similar in crashes with and without guardrail, and regression models showed that guardrail presence did not affect the rate of crashes involving railroad apparatus. Although the use of longitudinal guardrail systems did not appear to have a strong effect on crash rates or severity at active grade crossings, other methods for reducing crash prevalence and severity could be explored in future research, such as the development of crashworthy signal assemblies for flashing-signal-only crossings and the redesign of gate and cantilever supports to increase separation from the traveled way.

scholarly journals Risk and injury severity of obese child passengers in motor vehicle crashes

Obesity ◽  
2015 ◽  
Vol 23 (3) ◽  
pp. 644-652 ◽  
Author(s):  
Jong-Eun Kim ◽  
Min-Heng Hsieh ◽  
Phillip C. Shum ◽  
R. Shane Tubbs ◽  
David B. Allison
Keyword(s):  
Obese Child ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Motor Vehicle Crashes ◽  
Vehicle Crashes

A note on modeling pedestrian-injury severity in motor-vehicle crashes with the mixed logit model

2010 ◽  
Vol 42 (6) ◽  
pp. 1751-1758 ◽  
Author(s):  
Joon-Ki Kim ◽  
Gudmundur F. Ulfarsson ◽  
Venkataraman N. Shankar ◽  
Fred L. Mannering
Keyword(s):  
Logit Model ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Mixed Logit ◽  
Motor Vehicle Crashes ◽  
Mixed Logit Model ◽  
Vehicle Crashes ◽  
Pedestrian Injury

Children after motor vehicle crashes: Restraint utilization and injury severity

2019 ◽  
Vol 54 (7) ◽  
pp. 1411-1415
Author(s):  
Bridget Lang Findlay ◽  
Alexa Melucci ◽  
Viktor Dombrovskiy ◽  
Joelle Pierre ◽  
Yi-Horng Lee
Keyword(s):  
Injury Severity ◽  
Motor Vehicle ◽  
Motor Vehicle Crashes ◽  
Vehicle Crashes

scholarly journals Risk of Mortality in Association with Pregnancy in Women following Motor Vehicle Crashes: A Systematic Review and Meta-Analysis

2022 ◽  
Vol 19 (2) ◽  
pp. 911
Author(s):  
Ya-Hui Chang ◽  
Ya-Yun Cheng ◽  
Wen-Hsuan Hou ◽  
Yu-Wen Chien ◽  
Chiung-Hsin Chang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Pregnant Women ◽  
Mortality Risk ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Motor Vehicle Crashes ◽  
Vehicle Crashes ◽  
Mesh Terms

The aim of the study was to provide a systematic review and meta-analysis of studies examining the association between mortality risk and motor vehicle crashes (MVCs) in pregnant women compared with nonpregnant women. We used relevant MeSH terms to identify epidemiological studies of mortality risk in relation to MVCs from PubMed, Embase, and MEDLINE databases. The Newcastle–Ottawa Scale (NOS) was used for quality assessment. For comparison of mortality from MVCs between pregnant and nonpregnant women, the pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated using a random effects model. The eight studies selected met all inclusion criteria. These studies included 14,120 injured victims who were pregnant at the time of the incident and 207,935 victims who were not pregnant. Compared with nonpregnant women, pregnant women had a moderate but insignificant decrease in mortality risk (pooled OR = 0.68, 95% CI = 0.38–1.22, I2 = 88.71%). Subgroup analysis revealed that the pooled OR significantly increased at 1.64 (95% CI = 1.16–2.33, I2 < 0.01%) for two studies with a similar difference in the mean injury severity score (ISS) between pregnant and nonpregnant women. Future studies should further explore the risk factors associated with MVCs in pregnant women to reduce maternal mortality.

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