Deng Yu1; Liu Shenghe1; Wang Li2; Ma Hanqing3; Wang Jianghao1
Source Publicationchinesegeographicalscience
AbstractWith rapid development of urbanization and regional interaction and interdependence, regional urban agglomeration planning becomes more and more important in China, in order to promote integrated development of various cities with close interrelationship. However, it is still arguable academically on how to define the boundary or which cities to be included for the urban agglomeration of a region. This paper aims to shed lights on how to identify urban spheres of influence scientifically by introducing field modeling method and by practicing a case study on 168 cities in Central China. In our field modeling method, the influence intensities of cities were measured by a compre-ensive index and urban spheres of influence were represented spatially by field intensity. Then, their classification and spatial distribution characteristics of study area in 2007 were identified and explored by using GIS and statistical methods. The result showed that: 1) Wuhan is the absolute dominant city in Central China; 2) the provincial capital cities dominate their own provinces and there are no other lower grade agglomeration centers; and 3) the basic types of organization form of urban sphere of influence are single-polar type, agglomeration type, close-related group type and loose-related group type.
Document Type期刊论文
3.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
Deng Yu,Liu Shenghe,Wang Li,et al. fieldmodelingmethodforidentifyingurbansphereofinfluenceacasestudyoncentralchina[J]. chinesegeographicalscience,2010,000(004):353.
APA Deng Yu,Liu Shenghe,Wang Li,Ma Hanqing,&Wang Jianghao.(2010).fieldmodelingmethodforidentifyingurbansphereofinfluenceacasestudyoncentralchina.chinesegeographicalscience,000(004),353.
MLA Deng Yu,et al."fieldmodelingmethodforidentifyingurbansphereofinfluenceacasestudyoncentralchina".chinesegeographicalscience 000.004(2010):353.
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