Research on Subjective Feasibility Evaluation of Congestion Pricing

Abstract

Congestion Pricing has been implemented in many foreign countries while there is still no successful practice in China. As we know, recognition of public is crucial to the measure. So this paper analyzed the subjective feasibility of Congestion Pricing by establishing an evaluation index system and building a Structural Equation Modeling to demonstrate the influence of factors in the index system on subjective feasibility. In order to test the model, an SP survey was conducted in Nanjing. Then, AMOS was applied to evaluate and modify the model with the collected data. It's discovered that social factors, mental factors and system characteristics all have significant impacts on the subjective feasibility while system characteristics have the greatest direct impacts. Meanwhile, it's also indicated that public's subjective cognition of these issues is not satisfying. Hence, it's of much necessity to have adequate publicity and optimize income allocation so as to make Congestion Pricing subjectively feasible. Findings of this paper have both theoretical and practical values, and can provide decision support when implementing the measure in China.