关键词: 交通工程, 主观态度识别, 直觉模糊C均值聚类, MIMIC模型, 低碳出行

Abstract: Based on the existing SP data of low-carbon commuting travel, the samples were clustered by using intuitionistic fuzzy c-means clustering algorithm to identify the subjective attitude types of residents toward low-carbon commuting travel. A MIMIC model of low-carbon commuting travel intention of different types of residents was constructed to study the differences of behavioral willingness formation mechanism among groups with different subjective attitudes. The research results show that the residents subjective attitudes toward low carbon commuting travels can be divided into three categories: positive, neutral and negative. There is a correlation relationship among residences subjective attitudes, travel mode choices and low-carbon commuting travel intention. The groups with different subjective attitudes influence the composition of the influencing factors of the behavior intention and there are differences in the path and intensity of influencing factors on behavioral intention.

Key words: traffic engineering, subjective attitudes identification, IFCM, MIMIC model, low-carbon travel