Department of Transport Technology and Economics, Budapest University of Technology and Economics, 1111 Budapest, Hungary.
Department of Civil Engineering, Comsats University Islamabad, Wah Cantt 47040, Pakistan.
Int J Environ Res Public Health. 2020 Mar 14;17(6):1893. doi: 10.3390/ijerph17061893.
Driver behavior has been considered as the most critical and uncertain criteria in the study of traffic safety issues. Driver behavior identification and categorization by using the Fuzzy Analytic Hierarchy Process (FAHP) can overcome the uncertainty of driver behavior by capturing the ambiguity of driver thinking style. The main goal of this paper is to examine the significant driver behavior criteria that influence traffic safety for different traffic cultures such as Hungary, Turkey, Pakistan and China. The study utilized the FAHP framework to compare and quantify the driver behavior criteria designed on a three-level hierarchical structure. The FAHP procedure computed the weight factors and ranked the significant driver behavior criteria based on pairwise comparisons (PCs) of driver's responses on the Driver Behavior Questionnaire (DBQ). The study results observed "violations" as the most significant driver behavior criteria for level 1 by all nominated regions except Hungary. While for level 2, "aggressive violations" is observed as the most significant driver behavior criteria by all regions except Turkey. Moreover, for level 3, Hungary and Turkey drivers evaluated the "drive with alcohol use" as the most significant driver behavior criteria. While Pakistan and China drivers evaluated the "fail to yield pedestrian" as the most significant driver behavior criteria. Finally, Kendall's agreement test was performed to measure the agreement degree between observed groups for each level in a hierarchical structure. The methodology applied can be easily transferable to other study areas and our results in this study can be helpful for the drivers of each region to focus on highlighted significant driver behavior criteria to reduce fatal and seriously injured traffic accidents.
驾驶员行为一直被认为是交通安全问题研究中最关键和最不确定的标准。通过使用模糊层次分析法（FAHP）对驾驶员行为进行识别和分类，可以通过捕捉驾驶员思维方式的模糊性来克服驾驶员行为的不确定性。本文的主要目的是研究不同交通文化（如匈牙利、土耳其、巴基斯坦和中国）中影响交通安全的显著驾驶员行为标准。该研究利用 FAHP 框架对基于三级层次结构设计的驾驶员行为标准进行了比较和量化。FAHP 程序根据驾驶员对驾驶员行为问卷（DBQ）的回答进行两两比较（PCs），计算了权重因素，并根据权重对显著驾驶员行为标准进行了排序。研究结果观察到，除了匈牙利，所有被提名的地区都将“违规”视为一级最显著的驾驶员行为标准。而对于二级，除了土耳其，所有地区都将“攻击性违规”视为最显著的驾驶员行为标准。此外，对于三级，匈牙利和土耳其的驾驶员将“酒后驾车”评估为最显著的驾驶员行为标准。而巴基斯坦和中国的驾驶员则将“不让行人”评估为最显著的驾驶员行为标准。最后，进行了 Kendall 一致性检验，以衡量层次结构中每个级别观察到的组之间的一致性程度。所应用的方法可以很容易地转移到其他研究领域，我们在这项研究中的结果可以帮助每个地区的驾驶员关注突出的显著驾驶员行为标准，以减少致命和严重的交通事故。
