土地评价指标体系研究

Study on Land Assessment Index System

研究目的:解决土地评价指标体系构建中存在的指标结构不合理和指标冗余等问题。研究方法:以兰州市七里河区农村居民点整理潜力评价作实证研究,引进粗糙集理论的属性约简原理筛选指标,并与相关性检验保留指标对比。研究结果:(1)通过属性约简保留的属性核为人均农村居民点面积(X_1)、人均空闲居民点建设用地面积(X_4)、人均GDP(X_6)、城镇化率(X_9)和民众支持程度(X_(10))5个指标;(2)通过相关性检验,除保留了全部属性约简保留的指标外,还保留了人均未利用地面积(X_5)这一指标;(3)属性约简能识别不相关指标,保留的指标包含于相关性检验保留的指标,表明属性约简保留的指标精简、有效。研究结论:通过属性约简原理筛选指标,为土地评价提供了一种新的手段和途径。

The purpose of this paper is to solve the irrationality and redundancy in establishing the land assessment index system. Exemplifying through an empirical study on assessing the potential of the rural residential areas readjustment in Qilihe District of Lanzhou City, the paper polished the indices system based on the attribute simplification principle in the rough set theory and compared the selected indices with the retained indices by correlation test. The results indicate： （1）the attribute core retained by the attribute reduction method included five indices, i.e., rural residential area per capita（X1）, idle residential construction land area per capita（X4）, GDP per capita （X6）, urbanization rate（X9） and public support degree（X10）; （2）through correlation test all indices of attribute reduction and the index of used land area per capita（X5） were retained; （3）the attribute reduction method can recognize the unrelated indices, and the retained indices by the method are found to be included in other index sets retained by other methods, e.g., the correlation test method. It indicates that the indices retained by attribute reduction method are simple and effective. It is concluded that the attribute reduction is a new approach for land assessment.