Journal ArticleDOI
Personal and behavioral predictors of automobile crash and injury severity.
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TLDR
It is found that driver behaviors of alcohol or drug use and lack of seat belt use greatly increase the odds of more severe crashes and injuries.About:
This article is published in Accident Analysis & Prevention.The article was published on 1995-08-01. It has received 214 citations till now. The article focuses on the topics: Injury prevention & Crash.read more
Citations
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Journal ArticleDOI
Fragility versus excessive crash involvement as determinants of high death rates per vehicle-mile of travel among older drivers
TL;DR: Although both fragility and crash over-involvement contributed to the excess death rates among older drivers per VMT, fragility appeared to be of over-riding importance and measures to improve the protection of older vehicle occupants in crashes should be vigorously pursued.
Journal ArticleDOI
Using logistic regression to estimate the influence of accident factors on accident severity
TL;DR: The findings show that logistic regression as used in this research is a promising tool in providing meaningful interpretations that can be used for future safety improvements in Riyadh.
Journal ArticleDOI
Differences in male and female injury severities in sport-utility vehicle, minivan, pickup and passenger car accidents.
TL;DR: There are important behavioral and physiological differences between male and female drivers that must be explored further and addressed in vehicle and roadway design.
Journal ArticleDOI
Predicting the severity of motor vehicle accident injuries using models of ordered multiple choice
TL;DR: Data from New South Wales, Australia, is used to estimate two models of multiple choice which are reasonably commonplace in the econometrics literature: the ordered logit model and the ordered probit model, and it is found that increases in the age of the victim and vehicle speed lead to slight increase in the probabilities of serious injury and death.
Journal ArticleDOI
An analysis of motorcycle injury and vehicle damage severity using ordered probit models.
TL;DR: It was found that both injury severity and vehicle damage severity levels are decreasing over time, and factors leading to increased probability of vehicle damage include some similar factors but also show some differences, such as less damage associated with pedestrian collisions and with female drivers.
References
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Book
The analysis of cross-classified categorical data
TL;DR: The second edition has been updated and revised, with more emphasis on logic and logistic response properties and on the small-sample behavior of chi-square statistics as mentioned in this paper, and includes 40 to 50 new problems with most having separate data sheets.
Book
Analysis of ordinal categorical data
TL;DR: In this article, the authors present a survey of the advantages of using logit models in regression models for Ordinal Probabilities, Scores, and Odds Ratios, as well as their drawbacks.
Book
Traffic Safety and the Driver
TL;DR: This book is concerned with fatalities, injuries, and property damage from traffic crashes--their origin and nature, and ways to prevent their occurrence and reduce their severity.