The Influence of Socio-demographics Background on the Driving Behavior: A Short Review

N. Q. Radzuan, M. Hassan, K. A. Abu Kassim, A. A. Ab. Rashid, I. S. Mohd Razelan, N. A. Othman
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引用次数: 1

Abstract

Reckless driving behavior might result in a higher risk of an accident. Many factors are known to be the cause of this driving behavior. One of the factors is the socio-demographic background of the driver. This study aims to review currently available literature that investigates the relationship between driving behavior and any known socio-demographic characteristics. The review also focuses on the method used in the data collection as well as the tools used to perform the analysis to correlate the driving behavior and socio-demographic background. The review found that the influence of socio-demographic background on driving behavior study has not been explored in detail especially from the ethnicity point of view. With regards to the data collection, most of the study utilised the self- report survey, in which the targeted respondents are young adults. There are also studies covering all age groups that made use of the Driving Behaviour Questionnaire, data of traffic accidents or police reports, and virtual reality to collect the data. SAS/STAT statistical software package was found to be a popular choice among researchers when analyzing the data. This review concludes that driving behavior study in the multi-racial country for instance in Malaysia should explore further the relationship between driving behavior and socio-demographic background, especially from the ethnic perspective.
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社会人口背景对驾驶行为的影响:综述
鲁莽的驾驶行为可能会导致更高的事故风险。许多因素被认为是导致这种驾驶行为的原因。其中一个因素是司机的社会人口背景。本研究旨在回顾目前可用的文献,调查驾驶行为和任何已知的社会人口特征之间的关系。审查还侧重于数据收集中使用的方法,以及用于执行分析以关联驾驶行为和社会人口背景的工具。回顾发现,社会人口背景对驾驶行为研究的影响尚未得到详细的探讨,特别是从种族的角度来看。在数据收集方面,大多数研究采用了自我报告调查,其中目标受访者是年轻人。此外,还有涵盖所有年龄组的研究,利用驾驶行为问卷、交通事故数据或警方报告,以及虚拟现实技术来收集数据。SAS/STAT统计软件包是研究人员在分析数据时的首选。本文的结论是,在以马来西亚为例的多种族国家中,驾驶行为研究应该进一步探讨驾驶行为与社会人口背景的关系,特别是从民族的角度出发。
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