EVALUATION OF BUILDINGS’ REDEVELOPMENT ALTERNATIVES WITH AN EMPHASIS ON THE MULTIPARTITE SUSTAINABILITY

Edmundas Kazimieras Zavadskas,Jurgita Antuchevičiene

doi:10.3846/1648715x.2004.9637512

Abstract

The authors analyse the problem of derelict buildings’ redevelopment by means of multi criterion decision‐making techniques. The aim of the research is to rank derelict buildings’ redevelopment alternatives from the multiple sustainability approach. Moreover, handling of MCDM techniques is discussed. The MCDM techniques used are: technique for order preference by similarity to ideal solution (TOPSIS) and compromise ranking method (VIKOR). A Lithuanian case study is presented to illustrate similarities and differences of ranking results using these methods in particular situation. The comparisons of the results after multiple criteria analysis implementation are made in the paper and scientific recommendations for a sustainable redevelopment of derelict buildings in Lithuanian rural areas are suggested on a basis of calculations.

Highlights

One of the most perpetual challenges in science and engineering is how to make the optimal decision in a given situation
Three multi-criteria decision-making (MCDM) techniques were used for ranking of alternatives in the case study: technique for order preference by similarity to ideal solution (TOPSIS) with two different normalization methods and compromise ranking method (VIKOR)
Multiple-criteria analysis of abandoned buildings redevelopment alternatives in multi-criteria decision-making (MCDM) method Area

Summary

Introduction

One of the most perpetual challenges in science and engineering is how to make the optimal decision in a given situation. The aim of the research is to adapt appropriate MCDM techniques for ranking of derelict buildings redevelopment alternatives from the multiple sustainability approach, compare the results and discuss the handling of multi-criteria decision-making techniques in particular case. The MCDM techniques used are: technique for order preference by similarity to ideal solution (TOPSIS) with two different normalization methods (vector and linear) (Hwang and Yoon, 1981) and compromise ranking method (VIKOR) (Opricovic and Tzeng, 2004).

Objectives

Results

Conclusion