摘要
【目的】采用模糊综合评价模型对河南省平顶山市土地集约利用潜力进行评价,以期为相关研究提供参考。【方法】从城市土地利用结构、投入强度、利用强度和利用效益等4个方面选取16个指标构建平顶山市土地集约利用潜力评价指标体系,运用层次分析法确定指标权重,并利用模糊综合评价法对平顶山市城市土地集约利用潜力进行评价。【结果】平顶山市城市土地集约利用潜力值为0.4107,介于第二级和第三级之间,并接近第二级的指标值0.45。【结论】平顶山市城市土地集约利用潜力较大;对平顶山市土地集约利用潜力起积极作用的主要因素有工业、仓储用地所占比率和住宅用地比率、单位土地固定资产投资额、单位土地工业产值以及单位土地第二、三产业增加值等城市土地利用结构、城市土地投入强度和城市土地利用效益指标;城市人均建设用地和商品房空置率等城市土地利用强度指标对城市土地集约利用潜力具有较明显的限制作用。
【Objective】The present study used the fuzzy synthetic evaluation model to evaluate the intensive use potential of urban land in Pingdingshan City, Henan Province, China, in order to provide scientific references to relevant studies. 【Method】Sixteen indices have been selected to construct an index system for evaluating the intensive use potential of urban land with respect to urban land use structure, input intensity, utilization intensity and utilization efficiency. The indexes were weighted by using the method of analytic hierarchy process. Based on the weighted indexes, fuzzy synthetic evaluation model was used to evaluate the intensive use potential of urban land. 【Result】The value of intensive use potential of urban land in Pingdingshan City was calculated as 0.4107 which fell between the second and third grade, slightly more closer to second grade （0.45 unit）. 【Conclusion】The urban land in Pingdingshan City showed greater intensive use potential. The positive factors that affected the intensive use potential of urban land were as follows： urban land use structure （including the proportion of industrial and warehousing land and proportion of housing land）, input intensity （including fixed investments per unit land area） and utilization efficiency （industrial output per unit land area and the second and third industry output per unit land area）. Its negative factor was the urban land utilization intensity including per capita construction land.
出处
《南方农业学报》
CAS
CSCD
2011年第3期340-344,共5页
Journal of Southern Agriculture
基金
河南省平顶山市土地利用总体规划修编(2006)
关键词
城市土地
集约利用潜力
模糊综合评价模型
平顶山市
urban land
intensive use potential
fuzzy synthetic evaluation model
Pingdingshan City
