Research On Villages And Towns Construction Land Use Intensive Assessment Method And Applicaton

Village land use is intensive, use it fully, directly affects the rural area of economic, ecological, and environmental harmony and healthy development. Land use process is a dynamic, complex, open process, influence the level of intensive land use factors, including economic factors, social factors, ecological factors, policy, etc., how to evaluate a complex system based on multiple factors to achieve multi-index comprehensive evaluation, land use process is an important problem demanding prompt solution. Paper relies on "town spatial planning and land use research of key technologies" (code: 2006BAB15B06) conducted intensive use of town land evaluation.This meaning in understanding the basis of land-intensive, land-intensive village proposed content of the research is to take over the land around the village to start intensive content. Content based on intensive use of land villages and towns, from the village land-use features, consider the accessibility index, established towns intensive land use evaluation system, the index system of selection from multiple perspectives, can reflect the level of village land-intensive.In this paper, the basic theory of intensive use of land and related evaluation model, the master of the stage, at home and abroad in the land-intensive evaluation of commonly used models. The evaluation model widely used in urban land evaluation, very few rural area of land used in intensive evaluation, this article will apply these models to the rural area used to experiment in order to obtain a land for villages intensive methods and model evaluation ratings. The multi-factor comprehensive evaluation model, BP neural network model, with a total score of - limit correction model, the four models based on coordination degree model were applied to a higher grade areas of Miyun County, reached multi-factor comprehensive evaluation model and BP neural network model for intensive evaluation of the land in town. Of which, BP neural network model in dealing with non-linear relationship between the indicators, intelligence has a greater advantage.