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Please use this identifier to cite or link to this item: http://dspace.vgtu.lt/handle/1/3666

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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