Skip to main content
Log in

Ecological suitability evaluation for urban growth boundary in red soil hilly areas based on fuzzy theory

  • Published:
Journal of Central South University Aims and scope Submit manuscript

Abstract

The fuzziness exists in spatial distribution of geographic data of land suitability evaluation processes, which makes it difficult to quantify land boundaries by using traditional binary logic-based overlay model. Aiming at this limitation, an ecological suitability evaluation analysis model was presented based on fuzzy theory and a research on urban growth boundary (UGB) of the Great-Hexi Leading District (GHLD) of Changsha was conducted. With the support of GIS, RS and MATLAB, slope, elevation, vegetation, soil productivity, soil permeability, water body and land use are selected as the input of model according to the characteristic properties of soil and terrain in red soil hilly areas. The running result of this model indicates that the ratios of highly suitable land, suitable land, moderately suitable land and unsuitable land in GHLD are 18.75%, 10.31%, 64.16%, 6.78%, respectively. This result accords with spatial structure worked out by Space Development Strategy Planning of GHLD. Based on this result, several suggestions are made to guide UGB developments in future.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. TAYYEBI A, PIJANOWSKI B C, TAYYEBI A H. An urban growth boundary model using neural networks, GIS and radial parameterization: An application to Tehran, Iran [J]. Landscape and Urban Planning, 2010, 26(3): 349–357.

    Google Scholar 

  2. LI Wei, XU Jian-chun. Study on spatial structure of Hangzhou city based on UGB [J]. Urban Studies, 2009, 16(4): 106–111. (in Chinese)

    Google Scholar 

  3. WEN Xin, ZHOU Lu, LI Dong-jiang. Matlab fuzzy logic toolbox analysis and application [M]. Beijing: Science Press, 2001: 1–4. (in Chinese)

    Google Scholar 

  4. ZHANG Xiao-xiang, YAO Jing, LI Man-chun. A review of fuzzy sets on spatial data handling [J]. Remote Sensing Information, 2005(2): 47–51. (in Chinese)

    Google Scholar 

  5. HE Ying-bin, CHEN You-qi, YANG Peng, WU wen-bin, YAO yan-min, LI zhi-bin. An overview and perspective of alien land suitability evaluation: study based on GIS technology [J]. Progress in Geography, 2009, 28(6): 898–904. (in Chinese)

    Google Scholar 

  6. ZADEH L H. Fuzzy sets: Information and control [J]. 1965, 8: 338–353.

    MathSciNet  MATH  Google Scholar 

  7. RESHMIDEVI T V, ELDHO T I, JANA R. A GIS-integrated fuzzy rule-based inference system for land suitability evaluation in agricultural watersheds [J]. Computers & Geosciences, 2009, 101(1/2): 101–109.

    Google Scholar 

  8. NISAR AHAMED T R, GOPAL RAO K, MURTHY J S R. GIS-based fuzzy membership model for crop-land suitability analysis [J]. Agricultural Systems, 2000, 63(2): 75–95.

    Article  Google Scholar 

  9. MOUTON M A, ALCARAZ-HERNÁNDEZ J D, BAETS B D, GOETHALS P L M, MARTÍNEZ-CAPEL F. Data-driven fuzzy habitat suitability models for brown trout in Spanish Mediterranean Rivers [J]. Environmental Modelling & Software, 2011, 26(5): 615–622.

    Article  Google Scholar 

  10. SICAT R S, CARRANZA E J M, NIDUMOLU U B. Fuzzy modeling of farmers’ knowledge for land suitability classification [J]. Agricultural Systems, 2005, 83(1): 49–75.

    Article  Google Scholar 

  11. BROEKHOVEN E V, ADRIAENSSENS V, BAETS B D, VERDONSCHOT P F M. Fuzzy rule-based macroinvertebrate habitat suitability models for running waters [J]. Ecological Modelling, 2006,198(1/2): 71–84.

    Article  Google Scholar 

  12. NISAR AHAMED T R, GOPAL RAO K, MURTHY J S R. Fuzzy class membership approach to soil erosion modeling [J]. Agricultural Systems, 2000, 63(2): 97–110.

    Article  Google Scholar 

  13. BOROUSHAKI S, MALCZEWSKI J. Using the fuzzy majority approach for GIS-based multicriteria group decision-making [J]. Computers & Geosciences, 2010, 36(3): 302–312.

    Article  Google Scholar 

  14. Fuzzy logic toolbox tutorial [EB/OL]. [2011-03-04]. http://www.mathworks.com/help/toolbox/fuzzy/fp754.html.

  15. FAO (Food and Agriculture Organization of the United Nations). A Framework for land evaluation. Soil bulletin, No 32 [R]. Rome: FAO. 1976.

    Google Scholar 

  16. Planning Administrative Bureau in Changsha, Urban Planning Design Institute in Shenzhen, Planning Design Consultant Limited Company in Changsha. Space Development Strategy Planning of Changsha GHLD [R]. 2008. ( in Chinese)

  17. GORDON A, SIMONDSON D, WHITE M, MOILANEN A, BEKESSY S A. Integrating conservation planning and land use planning in urban landscapes [J]. Landscape and Urban Planning, 2009, 91(4): 183–194.

    Article  Google Scholar 

  18. WANG Guo-en, XIAO Rong-bo, PENG Tao. Land intensive use planning and developing strategy in mountain city: Taking Zunyi as an example [J]. Modern Urban Research, 2010(2): 74–79. (in Chinese)

  19. DUAN De-gang, LU Shou-yi, TIAN Tao. Some preliminary exploration of UGB establishment-management system [J]. Planners, 2009, 25(8): 11–14. (in Chinese)

    Google Scholar 

  20. GENNAIO M P, HERSPERGER A M, BURGI M. Containing urban sprawl-Evaluating effectiveness of urban growth boundaries set by the Swiss land use plan [J]. Land Use Policy, 2009, 26(2): 224–232.

    Article  Google Scholar 

  21. ZHU Zhong-wen, MO Bin, XIE Fu-rong. Delimitation of urban growth boundary based on land ecological suitability evaluation: A case of Fangchenggang [J]. Planners, 2009, 25(11): 40–44. (in Chinese)

    Google Scholar 

  22. FENG Ke, WU Ci-fang, WEI Shi-chuan, LIU Yong. Urban expansion management: Review on the theory of UGB and its reference for China [J]. China Land Science, 2008, 22(5): 77–80. (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qing Gao  (高青).

Additional information

Foundation item: Project(2006BAJ04A13) supported by the National Science and Technology Pillar Program during the 11th Five-Year Plan of China; Project(2009FJ4056) supported by the Key Project of Science and Technology Program of Hunan Province, China; Project(20090161120014) supported by the New Teachers Fund of Department of Education, China

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jiao, S., Gao, Q., Wei, Cy. et al. Ecological suitability evaluation for urban growth boundary in red soil hilly areas based on fuzzy theory. J. Cent. South Univ. Technol. 19, 1364–1369 (2012). https://doi.org/10.1007/s11771-012-1151-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11771-012-1151-x

Key words

Navigation