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.
