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Li, Y.M. and Liang, Q.O. (2010) The Prediction of Traffic Transportation Volume of Zhejiang Province with BP Neural Network. Journal of Lishui University, 32, 21-25.

has been cited by the following article:

• TITLE: Jilin Traffic Volume Impact Analysis on Economic Development

  AUTHORS: Yuanyuan Huang, Zhe Yin, Jinghu Shen

  KEYWORDS: Factors, Gray Correlation, Partial Least Squares Regression, Forecast

  JOURNAL NAME: Open Journal of Business and Management, Vol.3 No.1, January 29, 2015

  ABSTRACT: Since the reform and opening up, China’s transport development has made brilliant achievements and has a strong support for the rapid development of economy and society. In this paper, we collate, screen and analyze a total of 32-year data from 1980 to 2011 on traffic volume in Jilin Province, then we build a partial least squares regression model to the quantitatively predict and analyze the relations of transportation construction and economic development.