Suppr超能文献

社会人口学特征、骑行行为与摩托车事故参与情况:一种结构方程建模方法

Sociodemographic characteristics, riding behavior and motorcycle crash involvement: a structural equation modeling approach.

作者信息

Naderpour Sara, Heydari Seyed Taghi, Bagheri Lankarani Kamran, Motevalian Seyed Abbas

机构信息

Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.

Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.

出版信息

J Inj Violence Res. 2023 Jan 2;15(1):97-105. doi: 10.5249/jivr.v15i1.1784.

Abstract

BACKGROUND

The increasing rate of traffic crashes involving motorcyclists have turned into a public health and road safety concern. Furthermore, riding behaviors and their precedent factors have been identified as potential determinants for assessing, intervening, and preventing traffic injuries of motorists. This study aimed to identify the effects of a set of demographic and motorcycle-related variables as potential predictors on collision through riding behavior components.

METHODS

The study sample was 1,611 motorcyclists who were selected through time-location sampling method from three cities in Iran. They responded a Motorcycle Rider Behavior Questionnaire (MRBQ) and a general questionnaire including sociodemographic and riding-related items. The chosen method to analyze the data was Structural Equation Modeling (SEM) through Lavaan package version 0.6-8 of R software version 4.1.0.

RESULTS

All participants were male (100%) with a mean age of 28.1(SD=8.5) years. About 24.4% of riders experienced at least one crash during the last year and the majority of riders did not hold a motorcycle license (80.1%). The SEM model showed that riding license (0.06) and frequency of riding (0.09) had a direct effect on crash involvement. Some latent variables including speed violation (0.13), stunts (0.11) and traffic violation (0.07) had positive effects and safety violation (-0.07) had a negative effect on crash history. There were indirect effects between age and history of crash mediated by speed violation (-0.04), stunts (-0.04), traffic violation (-0.02) and safety violation (0.01). Also, the indirect effects of riding frequency on crash involvement were mediated by speed violation (0.01), traffic violation (0.006) and safety violation (-0.01).

CONCLUSIONS

This study's main finding is that age and riding frequency are the main variables indirectly affecting crash involvement. Therefore, periodic training courses for younger riders is essential in order to decreasing crash involvements.

摘要

背景

涉及摩托车手的交通事故发生率不断上升,已成为一个公共卫生和道路安全问题。此外,骑行行为及其前置因素已被确定为评估、干预和预防驾车者交通伤害的潜在决定因素。本研究旨在确定一组人口统计学和与摩托车相关的变量作为潜在预测因素对通过骑行行为成分导致碰撞的影响。

方法

研究样本为1611名摩托车手,通过时间-地点抽样方法从伊朗的三个城市中选取。他们回答了一份摩托车骑行者行为问卷(MRBQ)和一份包括社会人口统计学和骑行相关项目的一般问卷。分析数据所选用的方法是通过R软件版本4.1.0的Lavaan包版本0.6 - 8进行结构方程建模(SEM)。

结果

所有参与者均为男性(100%),平均年龄为28.1岁(标准差 = 8.5)。约24.4%的骑手在过去一年中至少经历过一次碰撞,且大多数骑手没有摩托车驾照(80.1%)。结构方程模型显示,骑行执照(0.06)和骑行频率(0.09)对碰撞参与有直接影响。一些潜在变量,包括速度违规(0.13)、特技表演(0.11)和交通违规(0.07)对碰撞历史有正向影响,而安全违规(-0.07)对碰撞历史有负向影响。年龄与碰撞历史之间存在由速度违规(-0.04)、特技表演(-0.04)、交通违规(-0.02)和安全违规(0.01)介导的间接影响。此外,骑行频率对碰撞参与的间接影响由速度违规(0.01)、交通违规(0.006)和安全违规(-0.01)介导。

结论

本研究的主要发现是年龄和骑行频率是间接影响碰撞参与的主要变量。因此,为年轻骑手定期开设培训课程对于减少碰撞参与至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7d9/10369328/2e5bd1bfcd47/jivr-15-97-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验