地理科学进展 ›› 2011, Vol. 30 ›› Issue (9): 1187-1192.doi: 10.11820/dlkxjz.2011.09.015

• 土地利用 • 上一篇    下一篇

2000-2007 年中国东部地区城市土地集约利用分析

周伟, 曹银贵, 乔陆印   

  1. 中国地质大学(北京)土地科学技术学院,北京 100083
  • 收稿日期:2010-10-01 修回日期:2011-01-01 出版日期:2011-09-25 发布日期:2011-09-25
  • 作者简介:周伟(1974-),男,甘肃会宁人,博士,副教授,主要从事土地生态遥感、土地信息系统方面的教学与研究。E-mail: zhouw@cugb.edu.cn
  • 基金资助:

    “十一五”国家科技支撑计划项目(2006BAB15B03)。

Changes of Intensive Urban Land Use and Its Causes in Eastern China during 2000-2007

ZHOUWei, CAO Yingui, QIAO Luyin   

  1. School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
  • Received:2010-10-01 Revised:2011-01-01 Online:2011-09-25 Published:2011-09-25

摘要: 本文以中国东部地区10 省市87 个城市为研究对象,利用层次分析法构建城市土地集约利用评价的指标体系,分析2000-2007 年城市土地集约利用变化的规律,并建立城市土地集约利用指标值与影响因子之间的多元回归模型,寻找影响城市土地集约利用变化的差异。研究结果表明:①从人口承载、经济投入与经济产出的角度构建了评价指标体系,经济产出成为城市土地集约利用的主要影响因素。②北京市城市土地集约利用指标值均值的变化最大,其他东部9 省市各城市土地集约利用指标值均值的变化趋势类似,变化相对平缓。广东城市土地集约利用指标均值的标准差最大,海南城市土地集约利用指标值的标准差起伏最大。③多数城市土地集约利用指标值均分布在0.1000 ~ 0.2000 之间。④构建了城市土地集约利用指标值与各影响因子之间的多元回归模型,72个城市通过了规定条件的检验。

关键词: 城市土地, 集约利用, 原因, 中国东部

Abstract: The contents of intensive urban land use are abundant and the concept of intensive urban land use is related to multi-aspects. The authors indicate that intensive urban land use is a kind of land use manner, which can improve urban social benefits, economic benefits and ecological benefits by increasing the per unit area input of construction land. This paper takes 87 cities as researching objects in order to construct an appraisal indicator system of intensive urban land use, to analyze changing rules of intensive urban land use during 2000-2007, and create multiple regression models between intensive use index values and impact factors, and to analyze the causes of intensive urban land use change. In the research, analytic hierarchy and multiple regression analyses are used. The results are obtained as follows. (1) Appraisal indicator systems should be established by considering population carrying amount, economic input and economic output, and economic output is the most important influencing factor for intensive urban land use; (2) Changing trends of intensive urban land use average index values in Beijing is the highest, and the changing trends of the other 9 provinces are similar. Standard deviation of the average index values in Guangdong is the biggest, and the fluctuation of standard deviation of the average values is the largest. (3) Most intensive urban land use index values are in a range of 0.1000-0.2000. (4) The multiple regression between the intensity index values and some indicators is negative in some urban areas.

Key words: causes, eastern China, intensive use, urban land