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Development of an indicator model and ranking of sustainable revitalization alternatives of derelict property: a Lithuanian case study

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  • Edmundas Kazimieras Zavadskas

    (Department of Construction Technology and Management, Vilnius Gediminas Technical University, Vilnius, Lithuania)

  • Jurgita Antucheviciene

    (Department of Construction Technology and Management, Vilnius Gediminas Technical University, Vilnius, Lithuania)

Abstract

The paper deals with the problem of the redevelopment of derelict buildings and abandoned sites as a complex issue that includes environmental, social and economic aspects. The objective of the research was to suggest a model for determining the rational revitalization of derelict immovable property from the perspective of sustainable development. The authors assume that a multi-criterion analysis is an appropriate technique to use to assure equilibrium among various domains of sustainability. When taking into account the uncertainty of a problem, calculations using the fuzzy version of the TOPSIS method were proposed. The development of a model for determining revitalization priorities of abandoned buildings was based on a case study of derelict rural buildings in Lithuania. A set of indicators was defined and used to perform the multi-criterion analysis of revitalization alternatives of the derelict buildings. Based on results from calculations, scientific recommendations for a rational revitalization of buildings and their sites were prepared. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.

Suggested Citation

  • Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene, 2006. "Development of an indicator model and ranking of sustainable revitalization alternatives of derelict property: a Lithuanian case study," Sustainable Development, John Wiley & Sons, Ltd., vol. 14(5), pages 287-299.
    • Handle: RePEc:wly:sustdv:v:14:y:2006:i:5:p:287-299
    DOI: 10.1002/sd.285
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    References listed on IDEAS

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    2. Yeh, Chung-Hsing & Chang, Yu-Hern, 2009. "Modeling subjective evaluation for fuzzy group multicriteria decision making," European Journal of Operational Research, Elsevier, vol. 194(2), pages 464-473, April.
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