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出行信息影响下驾驶员任务集聚认知模式研究

         

摘要

出行信息的认知能够为驾驶员出行决策提供重要依据。为了科学解释多源出行信息影响下的驾驶员任务集聚认知模式,分析了驾驶员任务集聚认知模式的影响因素,并对驾驶员多源出行信息环境进行了解析。为获取驾驶员多源出行信息认知模式特征,以某市412个样本数据库为基础,运用有序多分类Logistic回归方法构建驾驶员认知模式的决策模型,解析了驾驶员属性、信息源认知偏好与出行决策之间的关系。结果表明:对出行信息源认知良好的驾驶员,根据出行信息改变出行决策的频繁程度通常更高;随着驾龄的增长,驾驶员根据出行信息改变出行决策的频繁程度反而降低。%The cognition is important basis for drivers to make decision. In order to explain the cognition mode of drivers, the impact factors of drivers’cognition mode is analyzed under the environment of multi-resource travel information and also the environment of multi-resource travel information is represented. To analyze the characteristics of drivers’cognition mode, this paper takes an example of Kunming city in Yunnan Province in China to investigate questionnaires with 412 samples in three parks within the Second Ring Road. The cognition mode is established. Drivers’attributes, cognition preference of information resources and travel decision are analyzed by ordered polytomous Logistic model. The results indicate drivers who highly have cognition on travel information resources will change travel decision frequently according to travel information;with the in-crease of driving age, the frequency of changing travel decision will reduce.

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