基于SEM的驾驶员出行信息搜寻行为分析

摘要

出行信息的搜寻与获取是驾驶员出行决策的重要依据.为获取驾驶员的出行信息搜寻行为特征,以昆明市412个样本数据库为基础,建立驾驶员出行信息搜寻行为的因果和过程结构方程模型( SEM),并拟合各变量之间的路径关系.其中,驾驶员出行信 息搜寻的因果结构方程模型重点分析个体属性、信息源因素及环境因素与搜寻行为之间的关系；驾驶员出行信息搜寻的过程结构方程模型则模拟驾驶员的出行信息搜寻过程.结果表明:驾驶员由于自身属性的不同在信息源与搜寻行为上存在显著差异,搜寻行为中驾驶员对出行信息的认知及信息源的选择是重要的影响因素.此外,驾驶员出行信息搜寻过程模型主要受到个体属性与信息需求的影响.%Searching and collecting travel information is important for drivers to make travel decisions. To get the characteristics of drivers' travel information searching behaviors, the paper takes an example of Kunming with 412 samples. Two structural equation models (SEM) are developed to explore the path relationships between various variables. First, the mechanism of interaction among personal attribute, information origin factor, environment factor and searching behavior of car drivers are presented. Second, the searching behavior of car drivers is simulated. The results indicate the distinctions between different information origin and searching behavior which result from various car drivers' attributes. The driver' s searching behavior is significantly influenced by the cognition of travel information and the choice of information origin. Moreover, the process model of the searching behavior of drivers is affected by drivers' attributes and travel information demand.