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

Sławomira Hajduk,Dorota Jelonek

doi:10.3390/en14092691

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.

Highlights

Faculty of Engineering Management, Bialystok University of Technology, 45A Wiejska Street, Faculty of Management, Czestochowa University of Technology, 19B Armii Krajowej Street, 42-200 Czestochowa, Poland
The aim of this paper is to present a ranking of smart cities in the context of energy based on the multi-criteria decision-making (MCDM) method using ISO 37120 indicators
The research began with computing the basic statistics for urban energy indicators by measuring the position and variability

Summary

Introduction

Faculty of Engineering Management, Bialystok University of Technology, 45A Wiejska Street, Faculty of Management, Czestochowa University of Technology, 19B Armii Krajowej Street, 42-200 Czestochowa, Poland. 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. 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. Porto took the top position, whereas Buenos Aries was the last

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