Chinese Geographical Science

, Volume 19, Issue 2, pp 126–134 | Cite as

Spatio-temporal analysis of urban spatial interaction in globalizing China—A case study of Beijing-Shanghai Corridor



This paper aims to explore urban geography with a new perspective. Endowed with the urban geography connotations, an improved data field model is employed to integrate temporal dimension into spatial process of cities in a typical region in this article. Taking the Beijing-Shanghai Corridor including 18 cities as an example, the authors chose the city centricity index (CCI) and the spatial data field model to analyze the evolution process and features of sub-region and urban spatial interaction in this corridor based on the data of 1991, 1996 and 2002. Through the analysis, we found that: 1) with the improvement of the urbanization level and the development of urban economy, the cities’ CCI grew, the urban spatial radiative potential enhanced and the radiative range expanded gradually, which reflects the urban spatial interaction’s intensity has been increasing greatly; 2) although the spatial interaction intensity among the cities and sub-regions in the Beijing-Shanghai Corridor was growing constantly, the gap of the spatial interaction strength among different cities and sub-regions was widening, and the spatial division between the developed areas and the less developed areas was obvious; and 3) the intensity of the spatial interaction of Beijing, Shanghai and their urban agglomerations was far greater than that in small cities of other parts of the corridor, and it may have a strong drive force on the choice of spatial location of the economic activities.


urban spatial interaction data field Beijing-Shanghai Corridor China 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Aljarad S N, Black W R, 1995. Modeling Saudi Arabia-Bahrain corridor mode choice. Journal of Transport Geography, 3:257–268. DOI: 10.1016/0966-6923(95)00025-9CrossRefGoogle Scholar
  2. Alonso W, 1978. A theory of movements. In: Hansen N M (eds.). Human Settlement Systems: International Perspectives on Structure, Change and Public Policy. Cambridge, Massachusetts: Ballinger Publishing Company, 197–211.Google Scholar
  3. Arlinghaus S, 1985. Fractals take a central place. Geogr. Ann., 67B: 83–88.Google Scholar
  4. Batty M, Longley P A, 1994. Fractal Cities: A Geometry of Form and Function. London: Academic Press, 26–39.Google Scholar
  5. Chen Yanguang, Zhou Yixing, 2001. A study of multifractals measures of the spatial structure of the urban system in Central Plains. Acta Scientiarum Naturalium Universitatis Pekinensis, 37(6): 810–818. (in Chinese)Google Scholar
  6. Chen Yanguang, Zhou Yixing, 2004. Multi-fractal measures of city-size distributions based on the three-parameter Zipf model. Chaos, Solitons & Fractals, 22: 793–805. DOI: 10.1016/j.chao- s.2004.02.059CrossRefGoogle Scholar
  7. Christaller W, 1933. Central Places in Southern Germany. Englewood Cliffs: Prentice Hall, 28–56.Google Scholar
  8. Dai Xiaojun, Liu Changyu, Han Xu et al., 2004. Application of data field in information token. Journal of Fudan University (Natural Science), 43(5): 933–938. (in Chinese)Google Scholar
  9. Fotheringham A S, 1983. A new set of spatial interaction models: The theory of competing destinations. Environment and Planning A, 15(1): 15–36.CrossRefGoogle Scholar
  10. Gaubatz P, 1999. China’s urban transformation: Patterns and processes of morphological change in Beijing, Shanghai and Guangzhou. Urban Studies, 36(9): 1495–1521. DOI: 10.1080/0042098992890CrossRefGoogle Scholar
  11. James P E, Martin G J, 1981. All Possible Worlds: A History of Geographical Ideas. (2nd edition). New York: John Wiley & Sons, 25–34.Google Scholar
  12. Kirkby R J R, 1985. Urbanization in China: Town and Country in A Developing Economy, 1949–2000AD. New York: Columbia University Press, 207.Google Scholar
  13. Kwan M P, 1998. Space-time and integral measures of individual accessibility: A comparative analysis using a point-based framework. Geographical Analysis, 30(3): 191–216.Google Scholar
  14. Li Deren, 2001. On spatial data mining and knowledge discovery. Geomatics and Information Science of Wuhan University, 26(6): 491–499. (in Chinese)Google Scholar
  15. Ma L J C, 2002. Urban Transformation in China, 1949–2000: A review and research agenda. Environment and Planning A, 33(9): 1545–1569. DOI: 10.1068/a34192CrossRefGoogle Scholar
  16. Makse H A, Andrade Jr J S, Batty M et al., 1998. Modeling urban growth patterns with correlated percolation. Phys. Rev. E., 58(6): 7054–7062. DOI: 10.1103/PhysRevE.58.7054CrossRefGoogle Scholar
  17. Makse H A, Havlin S, Stanley H E, 1995. Modeling urban growth patterns. Nature, 377: 608–612. DOI: 10.1038/377608a0CrossRefGoogle Scholar
  18. Manrubia S, Zanette D, 1998. Intermittency model for urban development. Phys. Rev. E., 58(1): 295–302. DOI: 10.1103/Phys- RevE.58.295CrossRefGoogle Scholar
  19. National Bureau of Statistics of China, 1992, 1997, 2001, 2007. urban Statistical Yearbook of China, 1991, 1996, 2000, 2006. Beijing: China Statistics Press. (in Chinese)Google Scholar
  20. National Bureau of Statistics of China, 2004. Statistical Yearbook of China. Beijing: China Statistics Press. (in Chinese)Google Scholar
  21. Pannell C W, 1990. China’s urban geography. Progress in Human Geography, 14(2): 214–236.CrossRefGoogle Scholar
  22. Pannell C W, 2002. China’s continuing urban transition. Environment and Planning A, 34(9): 1571–1589. DOI: 10.1068/a3- 4201CrossRefGoogle Scholar
  23. Wang Zheng, Ding Jinhong, 1994. Regional Scientific Principle. Beijing: Science Press, 38–55. (in Chinese)Google Scholar
  24. Whebell C F J, 1969. Corridors: A theory of urban systems. Annals of the Association of American Geographers, 1: 1–26.CrossRefGoogle Scholar
  25. Wilson A G, 1967. A statistical theory of spatial distribution models. Transportation Research, 1: 253–269.CrossRefGoogle Scholar
  26. Wilson A G, 1970. Entropy in Urban and Regional Modeling. London: Pion Press, 56–70.Google Scholar
  27. Wilson A G, 1971. A family of spatial interaction models and associated developments. Environment and Planning, 3(1): 1–32.CrossRefGoogle Scholar
  28. Wilson A G, 2000. Complex Spatial Systems: The Modeling Foundations of Urban And Regional Analysis. Singapore: Pearson Education South Asia Pte Ltd, 79–86.Google Scholar
  29. Wong D, Fotheringham A S, 1990. Urban systems as examples of bounded chaos: Exploring the relationship between fractal dimension, rank-size, and rural to urban migration. Geogr. Ann., 72B: 89–99.Google Scholar
  30. Xue Ling, Yang Kaizhong, 2005. Spatial planning of commercial allocation in Haidian District in Beijing based on spatial interactive model. Geographical Research, 24(2): 265–268. (in Chinese)Google Scholar
  31. Zanette D, Manrubia S, 1997. Role of intermittency in urban development: A model of large-scale city formation. Phys. Rev. Lett., 79(3): 523–526. DOI: 10.1103/PhysRevLett.79.523CrossRefGoogle Scholar

Copyright information

© Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag GmbH 2009

Authors and Affiliations

  • Wenjie Wu
    • 1
    • 2
  • Wenzhong Zhang
    • 1
  • Fengjun Jin
    • 1
  • Yu Deng
    • 1
    • 2
  1. 1.Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingChina
  2. 2.Graduate University of the Chinese Academy of SciencesBeijingChina

Personalised recommendations