Comparison of moped, scooter and motorcycle crash risk and crash severity.
Ross Blackman,Narelle Haworth +1 more
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TLDR
The overall severity of moped and scooter crashes was significantly lower than motorcycle crashes but an ordered probit regression model showed that crash severity outcomes related to differences in crash characteristics and circumstances, rather than differences between PTW types per se.About:
This article is published in Accident Analysis & Prevention.The article was published on 2013-08-01 and is currently open access. It has received 77 citations till now. The article focuses on the topics: Crash.read more
Citations
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Road characteristics and environment factors associated with motorcycle fatal crashes in Malaysia
TL;DR: Both multinomial and mixed models of motorcycle fatal crash outcome based on the number of vehicle involved are estimated and it is suggested that time of day has an increasing impact on the probability of motorcycle single-vehicle fatal crashes and motorcycle fatal crashes involving two or more vehicles.
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A comparative study on machine learning based algorithms for prediction of motorcycle crash severity.
Lukuman Wahab,Haobin Jiang +1 more
TL;DR: The results of the study reveal that the predictions of machine learning algorithms are superior to the MNLM in accuracy and effectiveness, and the RF-based algorithms show the overall best agreement with the experimental data out of the three machine learning algorithm, for its global optimization and extrapolation ability.
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Road crash fatality rates in France: a comparison of road user types, taking account of travel practices.
TL;DR: When exposure is taken into account, the risks for motorized two-wheeler users are extremely high compared to other types of road user, and should not the use of MTW, or at least of motorcycles, be deterred.
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The injury epidemiology of adult riders in vehicle-two-wheeler crashes in China, Ningbo, 2011–2015
TL;DR: Through factor analysis, it is confirmed that there is interaction effect among the factors, and it can provide reference for relevant departments to formulate more targeted and effective governance strategies.
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A heterogeneity based case-control analysis of motorcyclist's injury crashes: Evidence from motorcycle crash causation study.
TL;DR: The correlations of several rider, exposure, apparel, and riding history related factors with crash risk are not homogeneous and in fact vary in magnitude as well as direction, indicating the need to develop appropriate countermeasures.
References
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Global Status Report on Road Safety: Time for Action
TL;DR: In this article, the status of highway safety in 178 countries around the world was evaluated and it was found that over 90% of highway traffic accident fatalities in the world occur in low-income and middle-income countries.
Book
Statistics for Psychology
TL;DR: In this article, the authors introduce the concept of hypothesis testing with means of samples and the t test for independent means, and make sense of statistical significance: effect size and statistical power.
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Probabilistic models of motorcyclists' injury severities in single- and multi-vehicle crashes.
TL;DR: Estimates of probabilistic models of motorcyclists' injury severities in single- and multi-vehicle crashes show that increasing motorcyclist age is associated with more severe injuries and that collision type, roadway characteristics, alcohol consumption, helmet use, unsafe speed and other variables play significant roles in crash-injury outcomes.
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A review of risk factors and patterns of motorcycle injuries
Mau Roung Lin,Jess F. Kraus +1 more
TL;DR: Modifiable protective or risk factors comprise inexperience and driver training, conspicuity and daytime headlight laws, motorcycle licensure and ownership, riding speed, and risk-taking behaviors, which are discussed.