The study of the interdependencies of areas and aspects of smart city in Polish cities

• Autorzy: Owczarek Tomasz , Sojda Adam , Wolny Maciej

Identyfikatory

DOI

10.29119/1641-3466.2022.161.14

• Języki publikacji: EN

Abstrakty

EN

Purpose: To determine the interdependencies between Smart City areas as well as the aspects and areas between resident-oriented IT areas of the city. Design / methodology / approach: The data for the study was collected during a survey of 287 cities for Smart City. The study of interdependence was based on a correlation analysis using: Pearson's correlation coefficient, Cramér's V coefficient, and Kendall's tau. In addition, a PCA analysis was used to reduce variable dimensions. Findings: The results of the research indicate that the scope of using services within e-office services is more strongly related to functionality than to IT equipment. In turn, the economic area plays a fundamental role in the perception of the city as a Smart City. There was also a clear difference in self-evaluation regarding Smart City areas and IT aspects of the city depending on the size of the city. However, this difference does not translate into declarations regarding the readiness for evaluation in Smart City categories. Originality/value: presentation of the relationship between the areas defining the concept of Smart City dependence on the basis of an original study addressed to city representatives. The results of the study allow us to look at the Smart City concept from the perspective of the city. The results of the analysis, in addition to scientists dealing with Smart City, may be of interest to city managers in Poland. They show the way of understanding and dependencies between individual areas. They also show those dependencies that need to be strengthened in the context of sustainable development.

Słowa kluczowe

EN

smart city; PCA; survey research; dependency analysis

PL

inteligentne miasto; PCA; badania ankietowe; analiza zależności

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2022
• Tom: z. 161
• Strony: 203--214
• Opis fizyczny: Bibliogr. 8 poz.

Twórcy

autor

Owczarek Tomasz

• Silesian University of Technology, Zabrze

• https://orcid.org/0000-0003-2532-4127

autor

Sojda Adam

• Silesian University of Technology, Zabrze

• https://orcid.org/0000-0002-3021-4451

autor

Wolny Maciej

• Silesian University of Technology, Zabrze

• https://orcid.org/0000-0002-8872-7794

Bibliografia

• 11. Garg, S., Mittal, S.K., and Sharma, S. (2017). Role of e-trainings in building smart cities. Procedia computer science, 111, 24-30.
• 14. Giovannella, C., Dascalu, M., Scaccia, F. (2014). Smart city analytics: state of the art and future perspectives. Interaction design & architecture(s), 20, 72-87.
• 18. Jonek-Kowalska, I., and Wolniak, R. (2021). Economic opportunities for creating smart cities in Poland. Does wealth matter? Cities, 114, 103222.
• 19. Kasznar, A.P.P., Hammad, A.W., Najjar, M., Linhares Qualharini, E., Figueiredo, K., Soares, C.A.P., and Haddad, A.N. (2021). Multiple dimensions of smart cities’ infrastructure: A review. Buildings, 11(2), 73.
• 20. Khan, H.H., Malik, M.N., Zafar, R., Goni, F.A., Chofreh, A.G., Klemeš, J.J., and Alotaibi, Y. (2020). Challenges for sustainable smart city development: A conceptual framework. Sustainable Development, 28(5), 1507-1518.
• 23. Molnar, A. (2021). Smart cities education: An insight into existing drawbacks. Telematics and Informatics, 57, 101509.
• 28. Rayward-Smith, V.J. (2007). Statistics to measure correlation for data mining applications. Computational statistics & data analysis, 51(8), 3968-3982.
• 30. Silva, B.N., Khan, M., and Han, K. (2018). Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities. Sustainable Cities and Society, 38, 697-713.

Uwagi

PL

Błędna numeracja bibliografii.

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).