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Research on Urban Public Traffic Satisfaction Evaluation Model Based on BP Neural Network Algorithm

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2 Author(s)
Shaomei Yang ; Econ. & Manage. Dept., North China Electr. Power Univ., Baoding ; Lin Jia

Urban public traffic is an important basic infrastructure related to the nationpsilas economy and the peoplepsilas livelihood, which is social cause of public good closely linked people's production and life. In order to evaluate the urban public traffic satisfaction scientifically, based on the analysis of the urban public traffic present and problems, this paper establishes a satisfaction evaluation index system and describes the evaluation mechanism based on BP neural network. The satisfaction evaluation of 12 cities in Hebei shows that the results given by this model are reliable, and this method to evaluate urban public traffic satisfaction is feasible.

Published in:

Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on

Date of Conference:

23-25 Jan. 2009

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