Modeling the demand forecast of construction land of county-level

Hai-yuan Dong; Xiao-yan Wang; Li-li Jiao; Qing-sheng Guo

doi:10.1117/12.838445

15 October 2009 Modeling the demand forecast of construction land of county-level

Hai-yuan Dong, Xiao-yan Wang, Li-li Jiao, Qing-sheng Guo

Proceedings Volume 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining; 74921N (2009) https://doi.org/10.1117/12.838445
Event: International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, 2009, Wuhan, China

Abstract

During the land-use planning, the demand forecast of construction land is complex. If the number of forecasting is excessive, the land resources would be wasted. On the contrary, the local economic develop would be restricted for lack of enough construction land. So it is important to determine an appropriate quantity of land for construction. The demand of construction land is affected by many factors, so it is difficult to use a simple mathematical model to simulate it. Therefore, this paper analyzes the important influencing factors on the quantity of land for construction and builds a model to simulate the demand of construction land using a neural network. After comparison, the forecast result by using the neural network is better than by the linear regression .The neural network is useful in the land-use planning.

Citation Download Citation

Hai-yuan Dong, Xiao-yan Wang, Li-li Jiao, and Qing-sheng Guo "Modeling the demand forecast of construction land of county-level", Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74921N (15 October 2009); https://doi.org/10.1117/12.838445

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