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Structural Equation Modeling of Drivers’ Speeding Behavior in Lahore: Importance of Attitudes, Personality Traits, Behavioral Control, and Traffic Awareness
Iranian Journal of Science and Technology, Transactions of Civil Engineering ( IF 1.7 ) Pub Date : 2021-06-03 , DOI: 10.1007/s40996-021-00672-1
Muhammad Ashraf Javid , Nazam Ali , Syed Arif Hussain Shah , Muhammad Abdullah

The risk-taking behavior of drivers results in traffic crashes on the road network. These crashes cause an increase in social costs in terms of an increase in injuries, fatalities, and loss of public property. Speeding is one of the risk-taking behaviors that put the life of drivers and other road users in danger. The objective of this study is to identify the significant factors associated with the drivers’ speeding behavior. A comprehensive questionnaire was designed considering the theoretical background of the theory of planned behavior (TPB). The local driving environment, drivers’ attitudes, and lifestyles related factors were also considered in the design of the questionnaire. This questionnaire was conducted in Lahore city and 551 usable samples were obtained. The collected data were analyzed using the structural equation modeling (SEM) technique. The variables of TPB were confirmed through confirmatory factor analysis, whereas exploratory factor analysis was conducted on remaining statements. This factor analysis resulted in three factors, i.e., attitudes toward speeding (attitudes), drivers’ speeding passion (DSP), and traffic enforcement and awareness (TEA). The results of SEM revealed that the DSP, perceived behavioral control (PBC), and attitudes toward speeding behavior have a negative association with the speeding behavioral intentions (SBI), whereas subjective norms (SN) and traffic enforcement and awareness factors have a positive correlation with behavioral intentions. The variables of PBC and SBI are direct predictors of speeding behavior. The variable of SBI plays a mediator role to explain the influence of DSP, SN, PBC, TEA, and attitudes variables on speeding behavior. Also, the driver’s marital status, car drivers, and vehicle engine capacity have significant relationships with drivers’ speeding intentions. These findings would help in developing traffic safety and awareness policies to tackle speedy drivers.



中文翻译:

拉合尔司机超速行为的结构方程模型:态度、性格特征、行为控制和交通意识的重要性

驾驶员的冒险行为导致道路网络发生交通事故。这些事故导致伤害、死亡和公共财产损失的增加,从而导致社会成本增加。超速是一种将司机和其他道路使用者的生命置于危险之中的冒险行为。本研究的目的是确定与驾驶员超速行为相关的重要因素。考虑到计划行为理论(TPB)的理论背景,设计了一份综合问卷。调查问卷的设计还考虑了当地的驾驶环境、司机的态度和生活方式等相关因素。该问卷在拉合尔市进行,获得了551份可用样本。使用结构方程模型 (SEM) 技术分析收集到的数据。TPB 的变量通过验证性因素分析得到确认,而探索性因素分析则对剩余陈述进行。这种因素分析产生了三个因素,即对超速的态度(attitudes)、司机的超速热情(DSP)和交通执法和意识(TEA)。SEM结果显示DSP、感知行为控制(PBC)和对超速行为的态度与超速行为意图(SBI)呈负相关,而主观规范(SN)与交通执法和意识因素呈正相关与行为意图。PBC 和 SBI 的变量是超速行为的直接预测因子。SBI 变量起中介作用,解释 DSP、SN、PBC、TEA 和态度变量对超速行为的影响。此外,司机的婚姻状况、汽车司机和车辆发动机容量与司机的超速意图有显着关系。这些发现将有助于制定交通安全和意识政策,以解决快速驾驶员的问题。

更新日期:2021-06-03
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