Multi-Criteria Analysis of Smart Cities on the Example of the Polish Cities

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Multi-Criteria Analysis of Smart Cities on the Example of the Polish Cities resources Article Multi-Criteria Analysis of Smart Cities on the Example of the Polish Cities Sławomira Hajduk Faculty of Engineering Management, Bialystok University of Technology, 16-001 Bialystok-Kleosin, Poland; [email protected] Abstract: This paper presents the application of a Multi-Criteria Decision Making (MCDM) method for the ranking of smart cities. During the construction of the MCDM techniques, the importance of the decision-making approach for the linear ordering of 66 Polish cities with powiat status was presented. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used for evaluation. The method has been verified by applying it to measure urban smartness. The TOPSIS method allowed compilation for a final ranking, taking into account publicly available indicators of the smart cities concept. The work uses data from the Local Data Bank Polish Central Statistical Office (LDB). The author conducted a literature review of research papers related to smart cities and MCDM methods dated from 2010 to 2020. Based on calculations using the TOPSIS method, the results obtained that the city of Krakow has the highest value to become a smart city. Keywords: smart city; urban smartness; TOPSIS 1. Introduction Becoming a smart city is an important task in the transition path and urban strategy of Citation: Hajduk, S. Multi-Criteria many cities. Local governments constantly introduce innovation to cities by encouraging Analysis of Smart Cities on the international enterprises to deploy renewable energy projects, green energy services and Example of the Polish Cities. products in the municipalities. Urban leaders need the knowledge of how to attract the Resources 2021, 10, 44. https:// enterprises implies. Public managers understand the multi-criteria decision problem that doi.org/10.3390/resources10050044 the enterprises face when deciding about location in this city or another. Considering how important the energy sector is for sustainable smart cities, this paper focuses on Academic Editor: Eleni Iacovidou identification the significant location for energy enterprises when making the choice for new places to offer the services. Received: 21 March 2021 The development of smart cities is monitored from an international comparative Accepted: 30 April 2021 Published: 8 May 2021 perspective. There is a lot of cyclical rankings surveying cities in different aspects and located on all continents. It is used a lot of various indicators measuring the primary areas Publisher’s Note: MDPI stays neutral selected by its creators, according to the assumed theoretical concept. Rankings of smart with regard to jurisdictional claims in cities serve to support the development of urbanized areas by indicating the areas which published maps and institutional affil- require some intervention and by comparing with other cities in order to search for good iations. practices. There are a lot of smart city rankings [1–6]. The most popular is the Smart City Index of Institute for Management Development World Competitiveness Centre [7]. The work analyzed the s66 Polish cities with powiat status in terms of the urban smartness indicators. The goal manuscript is to present a ranking of smart cities based on the MCDM method using 21 indicators. Smart cities are currently one of the most important Copyright: © 2021 by the author. Licensee MDPI, Basel, Switzerland. models of development. Firstly, the manuscript identified publications on the topic of smart This article is an open access article cities and MCDM based on a literature review. Secondly, the article attempts to organize distributed under the terms and the methods and main indicators in the field of smart cities and MCDM. The papers conditions of the Creative Commons available on the Web of Science, Springer, Scopus, IEEE and Elsevier databases have been Attribution (CC BY) license (https:// reviewed. The inductive thinking in the theoretical part, as well as the TOPSIS technique creativecommons.org/licenses/by/ in the empirical part, were used in the paper. The manuscript is an attempt to answer the 4.0/). research questions: how can we measure urban smartness and which variables can we use, Resources 2021, 10, 44. https://doi.org/10.3390/resources10050044 https://www.mdpi.com/journal/resources Resources 2021, 10, x FOR PEER REVIEW 2 of 22 the TOPSIS technique in the empirical part, were used in the paper. The manuscript is an Resources 2021, 10, 44 attempt to answer the research questions: how can we measure urban smartness2 ofand 23 which variables can we use, which cities have the highest level of urban smartness, how does classification of cities present in terms of smart cities? The selected MCDM technique whichallowed cities to indicated have the the highest smartness level and of urban least smart smartness, cities with how respect does classification to six main Giffinger of cities present[8] dimensions: in terms economy, of smart cities? environment, The selected transport, MCDM social technique capital, allowedquality of to life indicated and public the smartnessmanagement. and leastFinally, smart 21 citiessmart with city respectindicators to six that main are Giffinger available [ 8in] dimensions:public statistics economy, were environment,proposed in the transport, context of social a diagnosis capital, of quality Polish ofcities. life and public management. Finally, 21 smart city indicators that are available in public statistics were proposed in the context of2. aLiterature diagnosis Review of Polish cities. 2. LiteratureThe first Review study concerning the issue of the smart city concept is dated 1992. It was “The Technopolis Phenomenon: Smart Cities, Fast Systems, Global Networks” by David The first study concerning the issue of the smart city concept is dated 1992. It was V. Gibsona, George Kozmetsky, Raymond W. Smilor [9]. Overall, bibliometrics is a pow- “The Technopolis Phenomenon: Smart Cities, Fast Systems, Global Networks” by David V. erful tool for analyzing knowledge domains and revealing their cognitive-epistemological Gibsona, George Kozmetsky, Raymond W. Smilor [9]. Overall, bibliometrics is a power- structure. Furthermore, a lot of scientists analyzed the trends for academic debate and ful tool for analyzing knowledge domains and revealing their cognitive-epistemological research. Mora et al. [10] revealed the five emerging development path of smart cities that structure. Furthermore, a lot of scientists analyzed the trends for academic debate and each thematic cluster represents and the strategic principles such as: experimental (smart research. Mora et al. [10] revealed the five emerging development path of smart cities that cities as testbeds for IoT solutions), ubiquitous (the Korean experience of ubiquitous cit- each thematic cluster represents and the strategic principles such as: experimental (smart ies), corporate (IBM and the corporate smart city model), European (smart city for a low- cities as testbeds for IoT solutions), ubiquitous (the Korean experience of ubiquitous cities), carbon economy) and holistic (digital, intelligent, smart). Additionally, Perez et al. [11] corporate (IBM and the corporate smart city model), European (smart city for a low-carbon explored the important research topics in the top journals, e.g., intelligent cities, sustaina- economy) and holistic (digital, intelligent, smart). Additionally, Perez et al. [11] explored ble cities, e-Government, digital transformation, knowledge-based city, ubiquitous city. the important research topics in the top journals, e.g., intelligent cities, sustainable cities, e-Government,Based on the co-keyword digital transformation, network analysis, knowledge-based Guo et al. [12] city, distinguished ubiquitous city.the main Based research on the co-keywordareas in the networkdomain analysis,of smart Guocities: et smart al. [12 ]development, distinguished telecommunications the main research areas and in com- the domainputer science, of smart a smart cities: strategy smart development, for sustainable telecommunications development as well and as computer public administra- science, a smarttion. strategy for sustainable development as well as public administration. OverOver thethe lastlast threethree decades,decades, aa lotlot ofof manuscriptsmanuscripts thatthat dealdeal withwith smartsmart citiescities inin thethe WebWeb ofof Science,Science, ScopusScopus and and Elsevier Elsevier databases databases (more (more than than 52,000) 52,000) have have been been prepared. prepared.Figure Figure1 shows1 shows the the number number of of papers papers on on the the topic topic of of smart smart cities cities selected selected byby thethe WebWeb ofof Science,Science, ScopusScopus andand ElsevierElsevier databasesdatabases fromfrom 20002000 toto 20202020 (Table(Table A1 A1).). TheThe trendtrend lineline presentspresents aa steadysteady increaseincrease fromfrom 2012.2012. Additionally,Additionally, therethere isis aa significantlysignificantly increasingincreasing trendtrend ofof growthgrowth eacheach year.year. ThereThere areare moremore thanthan eighteeneighteen thousandthousand publicationspublications onon thethe topictopic ofof smartsmart citiescities inin thethe ScopusScopus databasedatabase fromfrom 2018.2018. FigureFigure 1.1. TheThe publicationspublications on the topic smart city betweenbetween 2000 and 2020 (status: 1 1 February February 2021) 2021) (Note:(Note: author’sauthor’s elaboration.).elaboration.). TheThe fieldfield of operations research research develops develops
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