China faces a serious problem is that dramatic expansion of construction land cause largely reduction of cultivated
land. To control the scale of construction land is the focus of land use and planning management work, whose core is
land use control, and how to forecast the quantity of construction land scientifically, reasonably and correctly is an
important content in general land use planning. In this paper, based on the field survey and statistic data of land changes
in Changjiang Hainan province during 1996-2005, the gross construction land in this region was simulated and predicted
using trend analysis method, exponent smoothing method, remnant GM(1,1) method, Markov model and multifactor
optimal combination method, respectively. From the compare of the average relative error, GM(1,1) Method is better to
predict, but its parameters c and p indicate this model can't be used to forecast long term data. From the result of Markov
model, the average relative error is small, but its maxerror is 4.15%. By comparison of these models, Multifactor optimal
combination method is more reliable and effective for policymakers of land management, and which is preferable for
predicting construction land demand of county's general land-use planning.
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