Literature DB >> 23872159

Evaluation of motorcycle safety strategies using the severity of injuries.

Soyoung Jung1, Qin Xiao, Yoonjin Yoon.   

Abstract

The growth of motorcycle fatalities in California has been especially prominent, specifically with regard to the 24 and under age group and those aged 45-54. This research quantitatively examined factors associated with motorcyclist fatalities and assessed strategies that could improve motorcyclist safety, specifically focusing on the two age groups mentioned above. Severity of injury was estimated separately for both age groups with multinomial logit models and pseudo-elasticity using motorcycle-related collision data that was collected between 2005 and 2009. The results were compared with motorcyclists aged 35-44, a group that shows a consistent trend of fatalities. This research found that lack or improper use of helmets, victim ejection, alcohol/drug effects, collisions (head-on, broadside, hit-object), and truck involvement were more likely to result in fatal injuries regardless of age group. Weekend and non-peak hour activity was found to have a strong effect in both the younger and older age groups. Two factors, movement of running off the road preceding a collision and multi-vehicle involvement, were found to be statistically significant factors in increasing older motorcyclist fatalities. Use of street lights in the dark was found to decrease the probability of severe injury for older motorcyclists. Driver type of victim, at-fault driver, local road, and speed violation were significant factors in increasing the fatalities of younger motorcyclists. Road conditions and collision location factors were not found to be statistically significant to motorcyclist fatalities. Based on the statistically significant factors identified in this research, the following safety strategies appear to be effective methods of reducing motorcyclist fatalities: public education of alcohol use, promoting helmet use, enforcing heavy vehicle and speed violations, improving roadway facilities, clearer roadway guidance and street lighting systems, and motorcyclist training.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Age; Motorcyclist fatalities; Multinomial logit model; Pseudo-elasticity; Safety strategies

Mesh:

Year:  2013        PMID: 23872159     DOI: 10.1016/j.aap.2013.06.030

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  5 in total

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2.  Motorcycle-related hospitalizations of the elderly.

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3.  A comparative study on machine learning based algorithms for prediction of motorcycle crash severity.

Authors:  Lukuman Wahab; Haobin Jiang
Journal:  PLoS One       Date:  2019-04-04       Impact factor: 3.240

4.  Temporal Instability of Factors Affecting Injury Severity in Helmet-Wearing and Non-Helmet-Wearing Motorcycle Crashes: A Random Parameter Approach with Heterogeneity in Means and Variances.

Authors:  Muhammad Ijaz; Lan Liu; Yahya Almarhabi; Arshad Jamal; Sheikh Muhammad Usman; Muhammad Zahid
Journal:  Int J Environ Res Public Health       Date:  2022-08-24       Impact factor: 4.614

5.  Comparison of traffic-injury related hospitalisation between bicyclists and motorcyclists in Taiwan.

Authors:  Chih-Wei Pai; Hsiao-Yu Lin; Shin-Han Tsai; Ping-Ling Chen
Journal:  PLoS One       Date:  2018-01-17       Impact factor: 3.240

  5 in total

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