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《Journal of Transportation Systems Engineering and Information Technology》 2016-01
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Modeling of Competitive Driving Behavior Based on Theory of Planned Behavior

LI Peng-fei;SHI Jian-jun;LIU Xiao-ming;Key Laboratory of Traffic Engineering,Beijing University of Technology;Ministry of Transport of the People's Republic of China;  
This paper aims to investigate the dimensionality of drivers' behaviors and analyze the motives of competitive driving behavior. Data are collected from a self-reported questionnaire completed by 225 drivers on the internet. Principal component analysis(PCA) and confirmatory factor analysis(CFA) are used to analyze the underlying factor structure. Four latent factors are derived, including speed advantage, space occupation, contention over the right- of- way, and space advantage. Structural equation modeling is established to explain the correlation between drivers' attitude and driving behavior based on Theory of Planned Behavior(TPB). Results indicate that competitive driving behavior could be predicted by the combination of attitudes, subjective norm, control of perceived behavior, and social environment through the medium of behavior intention. A high correlation between the dimensions of social environment and intention is observed. This is an effective way to rectify the competitive driving behavior.
【Fund】: 北京市教育委员会重点项目(KZ20151005007)~~
【CateGory Index】: U491.25
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