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Fuzzy inference and AHP-based alternative evaluation tool in the development of sustainable residential land

  • Construction Management
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

The sustainable development and supply of land can only be realized through the alternative evaluation of various environmental factors that can affect development projects. Since these environment factors are qualitative in nature, identifying and evaluating subject sites of sustainable land development are difficult. This study sought to provide an environment-friendly evaluation method for land development projects to help both practitioners and decision makers. The alternative evaluation model is developed by using Fuzzy Inference and Analytic Hierarchy Process (AHP) method based on Environmental Evaluation Factors of residential land development project. For developing the model, this study selects Environmental Evaluation Factors through analyzing previous studies, develops a model being composed of the factors and then applies and demonstrates the model to a case. The result shows that two or more land development candidate sites can be evaluated effectively and quantitatively. This approach allows a land development project practitioner and a decision maker to test different alternatives and make the environment-friendliest choice.

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References

  • Carr, V. and Tah, J. H. M. (2001). “A fuzzy approach to construction project risk assessment and analysis: Construction project risk management system.” Adv. Eng. Softw., Vol. 32, Nos. 10–11, pp. 847–857.

    Article  MATH  Google Scholar 

  • Chen, Z., Li, H., and Wong, C. T. C. (2005). “Environmental planning: Analytic network process model for environmentally conscious construction planning.” J. Constr. Eng. Manage., Vol. 131, No. 1, pp. 92–101.

    Article  Google Scholar 

  • CII (Construction Industry Institute) (1986). Evaluation of Design Effectiveness, The Construction Industry Institute, USA.

    Google Scholar 

  • Hagemeister, M. E., Jones, D. D., and Woldt, W. E. (1996). “Hazard ranking of landfills using fuzzy composite programming.” J. Environ. Eng., Vol. 122, No. 4, pp. 248–258.

    Article  Google Scholar 

  • Jung, I. S. and Lee, C. S. (2008). “Environmental evaluation factors for site designation of residential land development project in Korea.” Korean J. Architectural Institute(Planning & Design), Vol. 24, No. 8, pp. 301–310.

    Google Scholar 

  • Jung, I. S. and Lee, C. S. (2009). “Alternative evaluation model in the development of environment-friendly residential land.” Korean J. Constr. Eng. Manage., Vol. 10, No. 1, pp. 156–166.

    Google Scholar 

  • Klir, G. J. and Folger, T. A. (1988). Fuzzy sets, uncertainty, and information, Englewood Cliffs, New Jersey: Prentice Hall.

    MATH  Google Scholar 

  • Lee, Y. W., Dahab, M. F., and Bogardi, I. (1992). “Nitrate risk management under uncertainty.” J. Water Resour. Plan. Manage., Vol. 118, No. 2, pp. 151–165.

    Article  Google Scholar 

  • Lee, Y. J., Jeong, S. C., and Lee, H. K. (2003). “Evaluation of safety management for construction injury protection with non-structural fuzzy decision support system.” Theses Collection of AIK, Vol. 23, No. 2, pp. 579–582.

    Google Scholar 

  • Lee, D. W. and Kim, Y. S. (2003). “A study on the decision making model for construction projects using fuzzy-AHP and fuzzy-delphi.” Korean J. Constr. Eng. Manage., Vol. 4, No. 1, pp. 81–89.

    Google Scholar 

  • Paek, J. H., Lee, Y. W., and Napier, T. R. (1992). “Selection of design/build proposal using fuzzy-logic system.” J. Constr. Eng. Manage., Vol. 118, No. 2, pp. 303–317.

    Article  Google Scholar 

  • Saaty, T. L. (1980). The hierarchy process, Mcgraw-Hill, New York, N.Y.

    MATH  Google Scholar 

  • Seo, S. W., Toshiya A., Hwang, Y. W., and Keisuke, H. (2004). “Fuzzy decision-making tool for environmental sustainable buildings.” J. Constr. Eng. Manage., Vol. 130, No. 3, pp. 415–423.

    Article  Google Scholar 

  • Steele, J. (1997). Sustainable architecture: Principles, paradigms, and case studies, McGraw-Hill, New York, N.Y.

    Google Scholar 

  • Zadeh, L. A. (1965). “Fuzzy sets.” Inf. Control., Vol. 8, pp. 338–353.

    Article  MATH  MathSciNet  Google Scholar 

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Correspondence to In-Su Jung.

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Jung, IS., Lee, CS. Fuzzy inference and AHP-based alternative evaluation tool in the development of sustainable residential land. KSCE J Civ Eng 16, 273–282 (2012). https://doi.org/10.1007/s12205-012-1394-y

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  • DOI: https://doi.org/10.1007/s12205-012-1394-y

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