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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