Management Review ›› 2020, Vol. 32 ›› Issue (7): 76-88.

• Special Issue on Systems Management Methodologies of China • Previous Articles     Next Articles

The Effectiveness of TEI@I Forecasting: Evidence from a Five-year Project-based Public Prediction for Pearl River Delta Port Logistics

Tian Xin1,2,3, Wang Haoqing1,2,3, Zhu Jiayi1,2,3, E Erjiang4   

  1. 1. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190;
    2. Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing 100190;
    3. Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190;
    4. Department of Industrial Engineering, Tsinghua University, Beijing 100084
  • Received:2019-09-01 Online:2020-07-28 Published:2020-08-08

Abstract: Existing literatures that assess the performance of forecasting methods typically based on historical data are partially subjective. We propose a brand new framework for evaluating and tracking the effectiveness of forecasting methods with data set from predicting project under real scenarios. This paper empirically examines the effectiveness of TEI@I methodology using public project-based data for Pearl River Delta Port logistics during the period from 2009 to 2013. Our analyses show that TEI@I model has both excellent prediction accuracy and robustness, which decreases with the increase of prediction duration. This paper also demonstrates that future development tendency of the complex system can be effectively predicted.

Key words: TEI@I methodology, forecasting, port logistics, container throughput, adaptivity