Simulation of Spatial Urban Population Potential Based on Urban Patches: Taking Beijing-Tianjin-Hebei Region as an Example

  • 1. State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2013-11-06

  Revised date: 2014-02-23

  Online published: 2014-05-10


Urban potential is a quantitative indicator to measure the urban spatial interaction. It is used to describe the interaction force exerted to any place in the region, while taking into consideration that the interaction force is produced jointly by all the other surrounding cities. Urban population potential is the potential that is measured and indicated by urban population. GIS usually uses points to represent the spatial locations of cities and uses the point attribute field to store their urban population information. Therefore, the most convenient way to simulate urban population potential is to build a spatial analysis model based on the relevant point data. Obviously, this method has some disadvantages: on one hand, urban point data represented by latitude-longitude pattern in national fundamental geographic information datasets does not coincide with the urban population centroids in reality;on the other hand, most cities are usually composed of a variety of mutually separated urban land-use patches and these patches interact with each other within their urban precincts. To overcome the impacts of these disadvantages, this study has designed a simulation technology solution of urban population potential based on urban land-use patches. It takes the independent urban patches as the basic spatial analysis units and propose a method to divide grades for those urban patches in Beijing-Tianjin-Hebei region. Then, a time-consuming grid surface of Beijing-Tianjin-Hebei region is established. The numerical simulation of the urban population potential in Beijing-Tianjin-Hebei region is realized by making use of ArcGIS platform and modeling techniques of python accordingly. The method based on urban land-use patches could overcome the deficiency that the urban points do not coincide with urban population centroids in reality and it could reflect the spatial interactions of urban interior patches. Moreover, the simulation of urban population potential has further satisfied the requirements toward refinement.

Cite this article

DONG Nan, WANG Liming, MA Mingjuan . Simulation of Spatial Urban Population Potential Based on Urban Patches: Taking Beijing-Tianjin-Hebei Region as an Example[J]. Journal of Geo-information Science, 2014 , 16(3) : 402 -410 . DOI: 10.3724/SP.J.1047.2014.00402


[1] 彼得·尼茨坎普主编,安虎森,等译.区域和城市经济学手册(第一卷)[M].北京:经济科学出版社,2001,330-331.
[2] 杨吾扬,梁进社.高等经济地理学[M].北京:北京大学出版社,2002,155-157.
[3] 李平华,陆玉麒.可达性研究的回顾与展望[J].地理科学进展,2005,24(3):69-78.
[4] 薛领,杨开忠.基于空间相互作用模型的商业布局——以北京市海淀区为例[J].地理研究,2005,24(2):265-273.
[5] Love R, Morris J. Mathematical models of road travel distances[J]. Management Science, 1979(25):130-139.
[6] Berens W, Körling, F. Estimating. Road distances by mathematical functions[J]. European Journal of Operational Research , 1985(21):54-56.
[7] Brimberg J, Love R. General considerations on the use of the weighted lp norm as an empirical distance measure[J]. Transportation Science, 1993(27):341-349.
[8] Peeters D, Thomas I. Distance predicting functions and applied location-allocation models[J]. Geographical Systems, 2000(2):167-184.
[9] 陶海燕,陈晓翔,黎夏.公共医疗卫生服务的空间可达性研究——以广州市海珠区为例[J].测绘与空间地理信息,2007,30(1):1-5.
[10] 顾朝林,庞海峰.基于重力模型的中国城市体系空间联系与层域划分[J].地理研究,2008,27(1):1-12.
[11] 宋正娜,陈雯.基于潜能模型的医疗设施空间可达性评价方法[J].地理科学进展,2009,28(6):848-854.
[12] 郝春燕.基于公里格网的中国城市潜力模拟及空间分异探讨[D]. 北京:北京师范大学,2006.
[13] 王震.主体功能区规划辅助决策支持系统研究[D].北京: 中国科学院大学,2012.
[14] 徐涛.多模式交通下城市间空间相互作用研究[D].北京: 中国科学院大学,2010.
[15] 樊杰主编.京津冀都市圈区域综合规划研究[M].北京:科学出版社,2008.
[16] Yang X, Huang Y, Dong P, et al. An updating system for the gridded population database of China based on remote sensing, GIS and spatial database technologies[J]. Sensors, 2009,9(2):1128-1140.
[17] 杨小唤,刘业森,江东,等.一种改进人口数据空间化的方法: 农村居住地重分类[J].地理科学进展,2006,25(3):62-69.
[18] 谈明洪,吕昌河.以建成区面积表征的中国城市规模分布[J].地理学报,2003,58(2):285-293.
[19] 谈明洪,范存会. Zipf 维数和城市规模分布的分维值的关系探讨[J].地理研究,2004,23(2):243-248.
[20] 陈彦光,周一星.城市等级体系的多重Zipf 维数及其地理空间意义[J].北京大学学报(自然科学版),2002,38(6): 823-830.
[21] 陈彦光,刘继生.城市系统的异速生长关系与位序-规模法则——对Steindl 模型的修正与发展[J].地理科学, 2001,21(5):412-416.
[22] Kang-tsung Chang 著,陈健飞译.地理信息系统导论[M]. 北京:科学出版社,2010,384-385.