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、住房等信息转化为数值数据。(2)通过多元回归分析估算建筑物覆盖率。在模型中，利用遥感影像的土地覆盖信息作为预测因子。得到了良好的估计。(3)在负效用最小化的基础上，建立了住房区位模型。可以看出，该模型能够估计出房屋的位置。(4)住宅用地限制变化的问题主要来源于住宅区位模型和土地覆盖信息所得到的区位和土地利用。(5)基于模型的住房区位信息和基于卫星遥感数据的土地覆被信息可用于评价住宅用地限制区域的变化。

(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.