Research on the Prediction Method of Demand for Occupying Forest Land in Construction Projects in Chongzuo City
Abstract：To clarify an effective method for predicting the demand for occupying forest land in construction projects and further improve the scientific management of forest land resources, this study conducts a practical analysis of the prediction method for the demand of occupying forest land in construction projects in Chongzuo City. By sorting out the natural geography, socio-economic conditions, and current status of forest land resources in the city, regression prediction method, grey theory GM(1,1) model calculation method, and land use demand reduction calculation method were selected for prediction. After actual analysis, the regression prediction method and land use demand reduction calculation method had lower average error rates of 2.43% and 2.71%, respectively, which could better reflect the actual situation; the grey theory GM(1,1) model calculation method had an average error rate of 5.48%, indicating certain limitations. The research results have positive reference significance for the scientific planning of forest land protection and utilization in Chongzuo City, and also have reference value for related research in other regions.
Keywords：Construction ProjectOccupying Forest LandDemand Prediction Method
Publication Date：2025-09-25
Online Publishing Date：2025-11-07(First online date of this platform, not the publication date of the document)
Pages：4( 47-50 )