scholarly journals Gender differences of young drivers on injury severity outcome of highway crashes

2014 ◽  
Vol 49 ◽  
pp. 113.e1-120 ◽  
Author(s):  
Niranga Amarasingha ◽  
Sunanda Dissanayake
Keyword(s):  
Gender Differences ◽  
Injury Severity ◽  
Young Drivers ◽  
Highway Crashes

Modeling head-on crash severity on NCDOT freeways: a mixed logit model approach

2019 ◽  
Vol 46 (4) ◽  
pp. 322-328 ◽  
Author(s):  
Pengfei Liu ◽  
Wei (David) Fan
Keyword(s):  
Logit Model ◽  
Injury Severity ◽  
Safety Information ◽  
Mixed Logit ◽  
Weather Condition ◽  
Mixed Logit Model ◽  
Young Drivers ◽  
Adverse Weather Condition ◽  
Adverse Weather ◽  
Model Approach

This study employs a mixed logit model approach to evaluate contributing factors that significantly affect the severity of head-on crashes. The head-on crash data are collected from Highway Safety Information System (HSIS) from 2005 to 2013 in North Carolina. The effects that vehicle, driver, roadway, and environmental characteristics have on the injury severity of head-on crashes are examined. The results of this research demonstrate that adverse weather, young drivers, rural roadways, and pickups are found to be better modeled as random-parameters at specific injury severity levels, while others should remain fixed. Also, the model results indicate that driving under the influence of alcohol or drugs, grade or curve roadway configuration, old drivers, high speed limit, motorcycles will increase the injury severity of head-on crashes. Adverse weather condition, two-way divided road, traffic control, young drivers, and pickups will decrease the injury severity of head-on crashes.

Analysis of Severity of Young Driver Crashes: Sequential Binary Logistic Regression Modeling

2002 ◽  
Vol 1784 (1) ◽  
pp. 108-114 ◽  
Author(s):  
Sunanda Dissanayake ◽  
John Lu
Keyword(s):  
Logistic Regression ◽  
Injury Severity ◽  
Selection Process ◽  
Model Development ◽  
Weather Condition ◽  
Binary Logistic Regression ◽  
The United States ◽  
Crash Severity ◽  
Young Drivers ◽  
Single Vehicle

Young drivers have the highest fatality involvement rates of any driver age group within the United States driving population. They also experience a higher percentage of single-vehicle crashes compared with others. When looking at the methods of improving this alarming death rate of young drivers, it is important to identify the determinants of higher crash and injury severity. With that intention, the study developed, using the Florida Traffic Crash Database, a set of sequential binary logistic regression models to predict the crash severity outcome of single-vehicle fixed-object crashes involving young drivers. Models were organized from the lowest severity level to the highest and vice versa to examine the reliability of the selection process, but it was found that there was no considerable impact based on this selection. The developed models were validated and the accuracy was tested by using crash data that were not utilized in the model development, and the results were found to be satisfactory. Factors influential in making a crash severity difference to young drivers were then identified through the models. Factors such as influence of alcohol or drugs, ejection in the crash, point of impact, rural crash locations, existence of curve or grade at the crash location, and speed of the vehicle significantly increased the probability of having a more severe crash. Restraint device usage and being a male clearly reduced the tendency of high severity, and some other variables, such as weather condition, residence location, and physical condition, were not important at all.

Age and gender differences in substance screening may underestimate injury severity: a study of 9793 patients at level 1 trauma center from 2006 to 2010

2014 ◽  
Vol 188 (1) ◽  
pp. 190-197 ◽  
Author(s):  
Georgia M. Beasley ◽  
Truls Østbye ◽  
Lawrence H. Muhlbaier ◽  
Carolyn Foley ◽  
John Scarborough ◽  
...  
Keyword(s):  
Gender Differences ◽  
Trauma Center ◽  
Injury Severity ◽  
Age And Gender ◽  
Age And Gender Differences ◽  
Level 1 ◽  
And Gender ◽  
Level 1 Trauma Center

scholarly journals Gender differences among young drivers in the association between high-risk driving and substance use/environmental influences.

2006 ◽  
Vol 67 (2) ◽  
pp. 252-260 ◽  
Author(s):  
Michael R Elliott ◽  
Jean T Shope ◽  
Trivellore E Raghunathan ◽  
Patricia F Waller
Keyword(s):  
Gender Differences ◽  
Substance Use ◽  
High Risk ◽  
Environmental Influences ◽  
Young Drivers ◽  
Risk Driving

scholarly journals Gender differences in the effectiveness of public education messages aimed at smartphone use among young drivers

2020 ◽  
Vol 21 (2) ◽  
pp. 127-132
Author(s):  
Cassandra S. Gauld ◽  
Ioni M. Lewis ◽  
Katherine M. White ◽  
Barry C. Watson ◽  
Chae T. Rose ◽  
...  
Keyword(s):  
Gender Differences ◽  
Public Education ◽  
Young Drivers ◽  
Smartphone Use

scholarly journals Gender differences in snowboarding accidents in Austria: a 2005–2018 registry analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. e053413
Author(s):  
Christopher Duane Rugg ◽  
Till Malzacher ◽  
Julia Ausserer ◽  
Andrea Rederlechner ◽  
Peter Paal ◽  
...  
Keyword(s):  
Gender Differences ◽  
Injury Severity ◽  
National Registry ◽  
Secondary Outcome ◽  
Injury Patterns ◽  
Severe Injuries ◽  
And Gender ◽  
Gender Specific ◽  
Registry Analysis ◽  
Fatal Injuries

ObjectivesTo elucidate gender differences in snowboarding accidents.DesignRetrospective registry analysis within the Austrian National Registry of Mountain Accidents.SettingSnowboard-related emergencies between November 2005 and October 2018.ParticipantsAll injured snowboarders with documented injury severity and gender (3536 men; 2155 women).Primary and secondary outcome measuresGender-specific analysis of emergency characteristics and injury patterns.ResultsOver time, the number of mild, severe and fatal injuries per season decreased in men but not in women. Accidents most frequently were interindividual collisions (>80%) and occurred when heading downhill on a slope. Men more often suffered injuries to the shoulder (15.1% vs 9.2%) and chest (6.8% vs 4.4%), were involved in accidents caused by falling (12.9% vs 9.6%) or obstacle impact (4.3% vs 1.5%), while on slopes with higher difficulty levels (red: 42.6% vs 39.9%; black: 4.2% vs 2.5%), while snowboarding in a park (4.8% vs 2.1%) and under the influence of alcohol (1.6% vs 0.5%). Women more often sustained injuries to the back (10.2% vs 13.1%) and pelvis (2.9% vs 4.2%), on easier slopes (blue: 46.1% vs 52.4%) and while standing or sitting (11.0% vs 15.8%). Mild injuries were more frequent in women (48.6% vs 56.4%), severe and fatal injuries in men (36.0% vs 29.7% and 0.9% vs 0.4%). Male gender, age and the use of a helmet were risk factors for the combined outcome of severe or fatal injuries (OR (99% CI): 1.22 (1.00 to 1.48), 1.02 (1.02 to 1.03) and 1.31 (1.05 to 1.63)). When wearing a helmet, the relative risk (RR) for severe injuries increased while that for mild injuries decreased in male snowboarders only (RR (95% CI): 1.21 (1.09 to 1.34) and 0.88 (0.83 to 0.95)).ConclusionsSnowboard injuries are proportionally increasing in women and the observed injury patterns and emergency characteristics differ substantially from those of men. Further gender-specific research in snowboard-related injuries should be encouraged.Trial registration numberNCT03755050.

Examining Prominent Causes of Traffic Injury Severity in Louisiana with Multinomial Logistic Models

2020 ◽  
pp. 036119812096478
Author(s):  
Onyumbe Enumbe B. Lukongo
Keyword(s):  
Traffic Safety ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Logistic Models ◽  
Crash Severity ◽  
Fatal Accidents ◽  
Vehicle Accidents ◽  
The Road ◽  
Young Drivers ◽  
Safety Research

Accidents rank third among the top 10 leading causes of death in Louisiana, claiming more than 2,000 lives out of a total of almost 33,000 deaths. Drivers’ characteristics (age and gender), the geometry of the roadways, driving on the major roadways, the day of the week, and the wet or dry condition or the road have been associated with crash severity. This study applies unordered multinomial logistic models to investigate causes leading to crash severity in Louisiana. Several models were estimated and the best results were retained for presentation and discussion. Consistent with previous research, findings suggest that drivers’ gender and age matter for traffic safety. Individually, male and older drivers are too risky. Major roads, weekdays, dry surfaces, and road geometry increase the risk of fatal accidents. Male drivers are prone to severe and fatal accidents while old drivers are vulnerable to all types of accidents. Young drivers and female drivers feature among cases of injury and moderate accidents. Evidence suggests that crash severity is not ethnicity specific, contrary to some studies. This study is relevant because it builds a new dataset for safety research, identifies risk factors, and informs the aim of public safety policy to reduce loss of life, injuries, and costs resulting from motor vehicle accidents.

Sign in / Sign up

Export Citation Format

Share Document