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运用结构方程模型分析摩托车驾驶员违章行为。

Analyzing traffic violations among motorcyclists using structural equation modeling.

机构信息

Department of Civil Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.

Jacobs Engineering Group, Highway Engineer, Omaha, NE, USA.

出版信息

Int J Inj Contr Saf Promot. 2021 Dec;28(4):454-467. doi: 10.1080/17457300.2021.1942922. Epub 2021 Jul 5.

DOI:10.1080/17457300.2021.1942922
PMID:34225575
Abstract

In developing countries, the motorcycle is one of the main modes of transportation, especially in the downtown area. Motorcyclists' safety is a common issue since they have more vulnerability for severe crashes. Thus, it is necessary to decrease the probability of encountering high-risk situations. The main reason for motorcycle crashes is human errors in the form of traffic violations. This article aims to identify the role of seven factors on traffic violations, including motorcyclist characteristics, road conditions, environmental circumstances, riding skills, cycling statuses, motorcycle age and previous negative experiences such as fines and accidents. The structural equation modeling was applied to evaluate the impact of these factors pertinent to motorcyclists' crashes. To assess these factors, 600 motorcyclists have been interviewed in Kerman, Iran. The results indicated that motorcyclists' characteristics are the most effective factor in violation commitment. Since most motorcyclists are young, with low income and education, it is necessary to pay more attention to their training and education before giving a cycling license. In addition, those with more previous crashes and violations are more susceptible to committing violations. This relates to the lack of enough control and enforcement in developing cities; also, it shows that the current traffic fines are not deterrent enough. Finally, considering the results of this research can help to minimize traffic violations among motorcyclists, which is a step towards safer roads.

摘要

在发展中国家,摩托车是主要的交通工具之一,特别是在市区。由于摩托车驾驶员在严重事故中更脆弱,因此他们的安全是一个普遍的问题。因此,有必要降低遇到高风险情况的概率。摩托车事故的主要原因是违反交通规则的人为错误。本文旨在确定七个因素在交通违法行为中的作用,包括摩托车驾驶员的特征、道路状况、环境情况、驾驶技能、骑行状态、摩托车年龄以及罚款和事故等以往负面经历。结构方程模型被应用于评估这些与摩托车驾驶员事故相关的因素的影响。为了评估这些因素,对伊朗克尔曼的 600 名摩托车驾驶员进行了采访。结果表明,摩托车驾驶员的特征是违反承诺的最有效因素。由于大多数摩托车驾驶员年轻,收入和教育水平低,因此在颁发驾照之前,有必要更加关注他们的培训和教育。此外,那些以前发生过更多事故和违规行为的人更容易违规。这与发展中城市缺乏足够的控制和执法有关;此外,这表明当前的交通罚款还不够有威慑力。最后,考虑到这项研究的结果可以帮助减少摩托车驾驶员的交通违法行为,这是实现更安全道路的一步。

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