International Conference on Construction and Real Estate Management 2016
The GM(1,1) Model and Verhulst Forecast Model in the Application of Construction Waste Output Prediction: Taking Shenyang as an Example
Publication: ICCREM 2016: BIM Application and Off-Site Construction
ABSTRACT
In view of the big statistics deviation and incomprehensive data of the construction waste output, this paper uses grey prediction theory to establish the grey Verhulst prediction model of construction waste output, to forecast construction waste output in Shenyang in the next five years. Comparing with the GM(1,1) prediction model, we find that the grey Verhulst model can satisfy the precision requirement of ‘best’ and can more reasonably reflect the construction waste production trends, so the model can be used to predict the production of construction waste.
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REFERENCES
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Information & Authors
Information
Published In
ICCREM 2016: BIM Application and Off-Site Construction
Pages: 415 - 421
Editors: Yaowu Wang, Ph.D., Professor, Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., Professor, University of Alberta, Geoffrey Q. P. Shen, Ph.D., Professor, The Hong Kong Polytechnic University, and Yimin Zhu, Ph.D., Professor, Louisiana State University
ISBN (Online): 978-0-7844-8027-4
Copyright
© 2017 American Society of Civil Engineers.
History
Published online: Aug 14, 2017
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