The Land Decision Model Of Xi’an Real Estate Enterprises

Scientifically and accurately make a strategic decision of the land which as themost basic production data of the real estate enterprises. So scientifically making theland decision is the problem need to solve urgently under the premise of maximizing thereal estate enterprises’ own interests.The paper analyzed the situation and the existing problem of the real estateenterprises in Xi’an land decision-making, and then put forward the way to improve theland decision-making. According to the connotation and principles of landdecision-making, the author analyzed the uncertainty factor which as the base to dividethe land decision-making into selected stage, sorted stage and the stage of determiningthe highest purchase price. Determining what time to purchase based on the quantitativeanalysis of the critical land purchase quantity. Using BP neural network to predict theland demand, and then defining the enterprises’ capacity of purchasing land throughanalyze the relationship between asset-liability ratio and land acquisition funds. As thiscondition, we were able to make a preliminary list of the land by comparing the price ofland. According to the theory of hedonic price model, the paper sorted the selected landto determine the order of purchaing the land and define the highest price of the land.Finally, we utilized Spss and Matlab software to pretreat the related data in the realestate enterprises’ land decision-making, and applied crystal ball simulator to realize theprocess of the real estate enterprises’ land decision-making.In the theoretical sense, the research on the model of land decision of real estateenterprises in this paper can lay the foundation for the study of land decision theory of real estate enterprises. In the practical sense, ti has a certain practical significance forthe real estate enterprises making the correct, suitable land decisions. And the researchcan promote the healthy development of the real estate enterprises in Xi’an City in acertain extent，also promote the scientific management of real estate enterprises.