A Decision-Making Approach Based on TOPSIS Method for Ranking Smart Cities in the Context of Urban Energy

Sławomira Hajduk and Dorota Jelonek
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Sławomira Hajduk: Faculty of Engineering Management, Bialystok University of Technology, 45A Wiejska Street, 15-351 Bialystok, Poland
Dorota Jelonek: Faculty of Management, Czestochowa University of Technology, 19B Armii Krajowej Street, 42-200 Czestochowa, Poland

Energies, 2021, vol. 14, issue 9, 1-23

Abstract: This paper presents the use of multi-criteria decision-making (MCDM) for the evaluation of smart cities. During the development of the method, the importance of the decision-making approach in the linear ordering of cities was presented. The method of using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was proposed for the preparation of ranking. The method was verified by the application in the measurement of energy performance in smart cities. The authors conducted a literature review of research papers related to urban energy and MCDM published in the period from 2010 to 2020. The paper uses data from the World Council on City Data (WCCD). The research conducted allowed for the identification of the most popular MCDM techniques in the field of urban energy such as TOPSIS, AHP and DEA. The TOPSIS technique was used to organize and group the analyzed cities. Porto took the top position, whereas Buenos Aries was the last.

Keywords: urban energy; smart city; ISO 37120?s indicators; multi-criteria decision making method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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