A Housing Location Model to Assist Land-Use Restriction Planning in A Small City

(1)将劳动力、道路、地价、用地限制和住房等信息转化为数值数据。(2)建筑覆盖率的估计采用多元回归分析。在该模型中，来自遥感图像的土地覆盖信息被用作预测。得到了很好的估计。(3)在最小化负效用的基础上，建立了一个住宅选址模型。可以看出，该模型可以估计住房位置。(4)在住宅用地方面，限制变更的问题是由住宅区位模型与土地覆被资料所得到的区位与土地用途所衍生出来的。(5)该模型提供的住房位置信息和卫星遥感数据提供的土地覆被信息对评价住宅用地限制区的变化是有用的。

(1) The information on labor, road, land price, land-use restriction and housing are transformed into numerical data.(2) Building coverage ratios are estimated by Multi-Regression Analysis. In the model, land-cover information derived from remotely sensed imagery is used as the predictor. Good estimates are obtained.(3) On the basis of minimizing disutility, a housing location model is developed. It is seen that the model can estimate the housing location.(4) In residential usage area, the problems on the restriction change are derived from the location and land use which are obtained from the housing location model and the land-cover information.(5) The information on housing location derived from the model and on the land-cover derived from satellite remote sensing data are useful to evaluate the changes of residential land-use restricted areas.