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Chapter
Aug 29, 2019
International Conference on Construction and Real Estate Management 2019

Market Demand Forecasting Model of Urban Underground Comprehensive Pipe Gallery PPP Project

Publication: ICCREM 2019: Innovative Construction Project Management and Construction Industrialization

ABSTRACT

As an important part of modern urban construction, urban underground comprehensive pipe gallery has solved the shortcomings of traditional direct burial and decentralized laying modes, and greatly improved urban disaster resilience and urban quality. The introduction of PPP mode can effectively solve the financing problem of the construction of pipe gallery and reduce the risk of government investment. Facing the arrival of the climax of domestic pipe gallery construction, in order to scientifically grasp the market demand situation of urban underground comprehensive pipe gallery PPP project, a market demand forecasting model based on BP neural network is proposed. The policy, economy, law, financing, construction, income, and other pipe gallery PPP project market demand influencing factor sand the number of historical pipe gallery PPP are taken as input parameters, and the market demand data to be predicted are taken as output parameters. The market demand value of the predicted time can be calculated by inputting the predicted time. The results show that the BP neural network model has a good applicability in solving the market demand forecasting problem of urban underground comprehensive pipe gallery PPP project.

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REFERENCES

An, Y.H. and Cai, G.T. (2018). “Research on the existing problems and countermeasures of urban underground comprehensive pipe gallery PPP Projects.” Value Engineering, 37(20), 82-84. (in Chinese).
Han, L.Q. (2007). Theory, design and application of artificial neural networks. Chemical Press, Beijing.
Hu, J.N. and Wang, C.H. (2017). “Experiences for underground comprehensive pipe gallery PPP projects of national demonstration cities based on big data of PPP Center of the Ministry of Finance (I).” Tendering and Bidding, 2017(12), 11-16. (in Chinese).
Li, Q. and Wang, Y.Y. (2017). “PPP mode selection of urban underground comprehensive pipe gallery project.” Tunnel Construction, 37(09), 1076-1082. (in Chinese).
Mohammed, E. and Sudhakar K.V.(2002). “ANN Back-propagation Prediction Model for Fracture Toughness in Micro Alloy Steel.” International Journal of Fatigue, 24(9), 1003-1010.
Shi, C. (2018). “Discussion on the construction mode of underground comprehensive pipe gallery in domestic cities.” Innovation and Application of Science and Technology, (9), 186-187. (in Chinese).
Wang, X. and Gao, S.Y. (2016). “Contract flexibility of underground comprehensive pipe gallery project based on PPP mode.” Journal of Civil Engineering and Management, 33(5), 71-75. (in Chinese).
Zhao, D., Zhao, Y.C., Wang, L.Y., Lv, Y.J. and Huang, S.H. (2018). “Study on financing risk evaluation of urban underground comprehensive pipe gallery PPP projects.” People's Yangtze River, 49(9), 71-75. (in Chinese).

Information & Authors

Information

Published In

Go to ICCREM 2019
ICCREM 2019: Innovative Construction Project Management and Construction Industrialization
Pages: 434 - 440
Editors: Yaowu Wang, Ph.D., Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., University of Alberta, and Geoffrey Q. P. Shen, Ph.D., Hong Kong Polytechnic University
ISBN (Online): 978-0-7844-8230-8

History

Published online: Aug 29, 2019

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Postgraduate, School of Civil Engineering and Architecture, Wuhan Univ. of Technology, Wuhan, China 430070. E-mail: [email protected]
Professor, School of Civil Engineering and Architecture, Wuhan Univ. of Technology, Wuhan, China 430070. E-mail: [email protected]

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