地理科学 ›› 2010, Vol. 30 ›› Issue (6): 868-873.doi: 10.13249/j.cnki.sgs.2010.06.868

• 论文 • 上一篇    下一篇

辽宁省区域城市化水平评价研究

孙宝明   

  1. 吉林省建筑设计院有限责任公司, 吉林 长春 130051
  • 收稿日期:2010-05-09 修回日期:2010-10-20 出版日期:2010-11-20 发布日期:2010-11-20
  • 基金资助:
    中国科学院知识创新工程项目(KZCX2-YW-342)资助。

Regional Urbanization Level Evaluation in Liaoning Province, China

SUN Bao-ming   

  1. Jilin Provincial Architecture Design Institute Company Limited, Changchun, Jilin 130051
  • Received:2010-05-09 Revised:2010-10-20 Online:2010-11-20 Published:2010-11-20

摘要: 通过对区域城市化的认知与机理分析,给出了区域城市化水平的概念模型,同时采用AHP-信息熵-多指标综合评价模型对辽宁省各城市进行基于统计数据的区域城市化水平进行评价,结果表明,2008年辽宁省各市的城市化水平比2003年升高,沈阳市、大连市、盘锦市、鞍山市、抚顺市城市化水平较高,其他城市相对较低,区内城市化水平差别较大;并从准则层评价结果分析了城市化水平差异形成的原因。

Abstract: On basis of the principle and mechanism of regional urbanization, the concept model of regional urbanization level was built in the paper, and "AHP-Information entropy-Multiple indexes comprehensive evaluation" model was used to evaluate regional urbanization level based on statistic data of Liaoning Province. The results showed that the urbanization level increased in 2003-2008. The urbanization level of Shenyang City, Dalian City, Panjin City, Anshan City, Fushun City were higher than other cities, and the increase rate of Panjin City is the maximum, and the next is Dalian City. Then the evaluation results were graduated and spatially reveled with GIS, which shows that great differences in the level of urbanization and present Shenyang centered and Dalian centered higher urbanization zone in Liaoning Province. Besides, the reasons of differences of urbanization were analyzed from five criteria layers, including urbanization of population, economic, social, life and environment. The population urbanization level of Panjin City grew rapidly because no-farm population increased with large range, and the economic and life urbanization level of all cities had also increased in varying degrees. But the social and environment urbanization level of some cities decreased from 2003 to 2008 because the number of children in school and per capita green area decreased and some other reasons.

中图分类号: 

  • F29