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应用日益成为国内外研究热点和主流的基于行为的分析方法,提出了驾驶员交通信息偏好分析的结构方程模型,用于分析和模拟驾驶员个人特征、出行行为与交通信息偏好之间的影响关系。针对结构方程模型常用求解方法在进行交通信息偏好分析时的不足,利用偏最小二乘迭代算法对结构方程模型进行求解,提高了模型的实用性。利用问卷调查得到的数据,对模型的结构、参数估计、评价和应用进行了阐述,结果表明该模型具有很强的理论优势,又有良好的操作性,可为交通信息系统的用户需求分析提供重要依据。
The application is increasingly becoming the hot and mainstream research method in the world. Based on the behavioral analysis, a structural equation model is proposed to analyze the driver’s preference of traffic information, which is used to analyze and simulate the personal characteristics of drivers, travel behavior and traffic information preferences . Aiming at the shortcomings of common solution method of structural equation model in traffic information preference analysis, partial least squares iterative algorithm is used to solve the structural equation model, which improves the practicability of the model. Using the data obtained from the questionnaire survey, the structure, parameter estimation, evaluation and application of the model are described. The results show that the model has strong theoretical advantages and good operability. It can provide the user information analysis of traffic information system Important reference.