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Title: | MCDM assessment of a healthy and safe built environment according to sustainable development principles: a practical neighborhood approach in Vilnius |
Authors: | Zavadskas, Edmundas Kazimieras Cavallaro, Fausto Podvezko, Valentinas Ubartė, Ieva Kaklauskas, Artūras |
Keywords: | healthy and safe built environment sustainable development MCDM methods neighborhoods Vilnius |
Issue Date: | 2017 |
Publisher: | MDPI AG |
Citation: | and safe built environment according to sustainable development principles: a practical neighborhood approach in Vilnius, Sustainability 9(5): 1–30 |
Series/Report no.: | 9;5 |
Abstract: | Urbanization has a massive effect on the environment, both locally and globally. With
an ever-increasing scale of construction and manufacturing and misuse of energy resources come
poorer air quality, growing mortality rates and more rapid climate change. For these reasons,
a healthy and safe built environment is ever more in demand. Global debates focus on sustainable
development of the built environment; a rational approach to its analysis is multiple criteria decision
making (MCDM) methods. Alternative MCDM methods applied to the same problem often produce
different results. In the search for a more reliable tool, this study proposes that a system of MCDM
methods should be applied to a single problem. This article assesses 21 neighborhoods in Vilnius
in the context of a healthy and safe built environment in view of the principles of sustainable
development. MCDM methods were used for this purpose: entropy, Criterion Impact LOSs (CILOS)
and Integrated Determination of Objective Criteria Weights (IDOCRIW) methods were used to
determine the objective weights of the criteria, while expert judgement determined the subjective
weights. With the overall weights determined, the Vilnius neighborhoods were assessed through the
application of COmplex PRoportional ASsessment (COPRAS), Simple AdditiveWeighting (SAW),
Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Evaluation based on
Distance from Average Solution (EDAS) methods. The final results were then processed using the
rank average method, Borda count and Copeland’s method. |
URI: | http://dspace.vgtu.lt/handle/1/3666 |
ISSN: | 2071-1050 |
Appears in Collections: | Moksliniai straipsniai / Research articles
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