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机构地区:[1]东北林业大学工程技术学院,哈尔滨150040 [2]哈尔滨工业大学经济与管理学院,哈尔滨150001 [3]郑州航空工业管理学院土木建筑工程学院,郑州450015
出 处:《软科学》2011年第6期40-44,共5页Soft Science
基 金:国家自然科学基金项目(71073036);国家发改委"十二五"规划前期重大问题研究项目(2009B0408);中央高校基本科研业务费专项资金资助项目(DL10CC15);河南省教育厅人文社会科学研究项目(2010GH184)
摘 要:结合PCA与模糊物元理论,构建了城市居住水平预警模型,并以35个大中城市为例,对城市居住水平进行了评价。研究表明:2008年,35个大中城市居住水平的警情状态均在中警以上;但是从2003年开始,太原、南昌、郑州、海口和重庆等城市预警指数降低缓慢,哈尔滨、合肥、南宁、西安、西宁、银川和乌鲁木齐等城市预警指数不降反升;当前人均住房使用面积、城市建设用地占市区面积比重、居民人均生活用电量、影剧院密度等指标预警指数相对较高,成为束缚城市居住水平发展的主要因素,人均家庭生活用水量、邮政局密度、中小学密度、中小学教师人数、医院密度、影剧院密度、城市建设用地占市区面积比重等指标从2003年开始出现了不良的发展趋势。A fuzzy matter - element model for city living level is established based on PCA and fuzzy matter - element method, and living level of 35 sample cities is assessed using the fuzzy matter - element model. The results showed in 2008, the alarm status of living level of 35 sample cities was above the middle alert; but since 2003, the warning index fell very slowly in some cities such as Taiyuan, Nanchang, Zhengzhou, Haikou and Chongqing; the warning index went up in some cities such as Harbin, Hefei, Nanning, Xi'an, lining, Yinchuan and Urumqi. The results also showed the warning index of per capita housing area, proportion of construction land in urban area, library density and domestic power consumption per person were very high, which were the major limitation for city living level development; and since 2003, the negative trend of some indicators has emerged, including domestic water consumption per person, post office density, middle and primary school density, teacher number, hospital density, theatre and cinema density and proportion of construction land in urban area.
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