Chapter
Apr 26, 2012
Freight Volume Prediction of Coal Transportation from Xinjiang Based on Grey-Markov Chain Method
Authors: Yang Yu [email protected], Wen Du [email protected], and Lin Wang [email protected]Author Affiliations
Publication: ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration
Abstract
Coal resources is the essential energy in China, with the significant increase in coal demand, it is inevitable to transport coal to hinterland from Xinjiang. The prediction of coal freight volume is the foundation of planning and constructing the coal transport corridor and coal logistics system. In this paper, the Grey Prediction Method and Markov Prediction Method are combined to predict coal freight volume. The analysis shows that the results of the GM (1, 1) Prediction could be ameliorated by using Markov Chain, and more accurate results could be obtained, which proves that the Grey-Markov Chain Method is more reliable and effective for policy makers.
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ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration
Pages: 500 - 506
Copyright
© 2010 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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Affiliations
Railway and Transportation Design Division, China Railway First Survey and Design Institute Group Ltd, Xian, 710043, China; and College of Transport and Transportation, Southwest Jiaotong University, Chengdu, 610031, China.E-mail: [email protected]
College of Transport and Transportation, Southwest Jiaotong University, Chengdu, 610031, China.E-mail: [email protected]
College of Transport and Transportation, Southwest Jiaotong University, Chengdu, 610031, China.E-mail: [email protected]
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