Measuring Urban Sprawl in Beijing with Geo-spatial Indices

  • 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China

Received date: 2007-01-20

  Revised date: 2007-04-15

  Online published: 2007-06-25

Supported by

National Natural Science Foundation of China, No.40571056; Special Fund from the Sciecne and Technology Department of Beijing Municipality, No.ZZ0608


Concerning the rapid urban land growth in recent China, this paper takes the urban growth during 1996 to 2004 of Beijing as a study case, and indicates that urban sprawl can be identified or measured through growth configuration, urban growth efficiency and its impacts of urban growth. It then identifies a geo-spatial indices system for measuring sprawl in Beijing, covering six factors of population, economy, land use, agriculture, environment and urban life quality, a total of 13 indices in all. Specifically speaking, patch area index (AI), patch shape index (SI), discontinuous development index (DDI), strip development index (SDI), leapfrog development index (LDI) and planning consistency index (PCI) are introduced for measuring spatial configuration of urban growth; horizontal density index (HDI), vertical density index (VDI), population density index (PDI) and GDP density index (GDI) are developed for measuring efficiency of urban growth; arable land impact index (AII), open space impact index (OII) and transportation impact index (TII) are used for measuring impacts of urban growth. In order to calculate these 13 indices, different sources data are selected, including land use maps from update survey made by Beijing Bureau of Land Resources, former version of land use master plan, land price and floor-area-ratio samples from land transactions bulletin, digitized map of the transportation lines and county centers, population statistics from the fifth national census and GDP statistical data from Statistical Yearbook, etc. Various GIS spatial analysis methods are used to spatialize theses indices into 100m×100m cells, including overlay, interpolation, neighborhood statistics, distance analysis, etc. Besides, an integrated urban sprawl index is calculated by weight sum of these 13 indices, by which the newly developed land patches are classified into four types: rational development, low-grade sprawl, moderate sprawl and high-grade sprawl. The application result indicates that geo-spatial indices system can capture most typical features and interior differentia of urban sprawl. Construction land in Beijing has kept fast growing with large amount, low efficiency and disordered spatial configuration, which indicates a typical sprawling tendency. The following specific sprawl features are identified by each index. (1) Typical spatial features of sprawling: obvious fragmentation and irregularity of landscape due to unsuccessful enforcement of land use planning; unadvisable pattern of land use growth with typical discontinuous development, strip development and leapfrog development. (2) Low growth efficiency of sprawl: low density of land use growth, low population density and economic output on newly developed area. (3) Other negative impacts on agriculture, environment and city life. According to the integrated sprawl index, sprawling amount in the northern part is larger than that in the southern, but the sprawling extent is in converse case; most sprawling areas include the junctions of near suburbs and outer suburbs, the places along or between highways, etc. Four sprawling patterns are identified: randomly expansion at urban fringe, strip development along highways, scattered development of industrial land, leapfrog of urban residence and industrial area.

Cite this article

JIANG Fang, LIU Shenghe, YUAN Hong . Measuring Urban Sprawl in Beijing with Geo-spatial Indices[J]. Acta Geographica Sinica, 2007 , 62(6) : 649 -658 . DOI: 10.11821/xb200706010


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