The Relationship Between the Wealth of the Country and the Quantity and Development of Smart Cities

• Autorzy: Aleksandra Czupryna-Nowak , Vasyl Lytvyn
• Języki publikacji: EN

Abstrakty

EN

Purpose: The primary purpose of this study is to investigate and analyze the relationship between a country's wealth and the number and development of smart cities in its territory. This study aims to understand how a country's economic status affects its ability and willingness to invest in smart city initiatives.

Design/methodology/approach: The article uses a literature search. This study will adopt a mixed approach, combining quantitative and qualitative analysis. Statistical data on GDP, investments in smart city technologies, and urban development indicators from various countries will be used.

Findings: In research, the application of artificial intelligence in smart cities identified several key areas where AI has a significant impact: traffic and transport management, energy management and sustainable development, public safety, waste and natural resource management, citizen services, and spatial planning and urban development. These results can serve as a basis for further research and development of AI implementation strategies in urban contexts.

Originality/value: The study revealed several critical conclusions regarding the relationship between the country's wealth and the number and development of smart cities. There is a significant correlation between GDP per capita and the level of investment in smart city infrastructure and technologies. Wealthier countries are more likely to initiate and implement advanced smart city projects, investing their financial resources in innovative technologies and sustainable urban solutions.(original abstract)

Słowa kluczowe

EN

Developing countries; Smart city; Artificial intelligence; State finance; Urban policy

PL

Kraje rozwijające się; Inteligentne miasto; Sztuczna inteligencja; Finanse państwa; Polityka miejska

• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2023
• Numer: z. 189 Współczesne zarządzanie = Contemporary management
• Strony: 107--117

Twórcy

autor

Aleksandra Czupryna-Nowak

• Silesian University of Technology

autor

Vasyl Lytvyn

• Lviv Polytechnic National University

Bibliografia

• 1. Albino, V., Berardi, U., Dangelico, R.M. (2015). Smart Cities: Definitions, Dimensions, Performance, and Initiatives. Journal of Urban Technology, 22(1).
• 2. Ali, N. (2021). Evaluating sustainable urban transport systems: A Review study for the identification of smart mobility indicators. Transactions on Transport Sciences, 12(2), 16-23. doi: 10.5507/tots.2021.008.
• 3. Ghazal, T.M., Hasan, M.K., Alshurideh, M.T., Alzoubi, H.M., Ahmad, M., Akbar, S.S., Al Kurdi, B., Akour, I.A. (2021). IoT for smart cities: Machine learning approaches in smart healthcare-A review. Future Internet, 13(8). doi: 10.3390/fi13080218.
• 4. Giffinger, R. (2020). European Smart City Model (2007-2015). Vienna University of Technology, http://www.smart-cities.eu, 19.10.2023.
• 5. Greser, J., Dymitruk, M. (2022). Unijny projekt regulacji sztucznej inteligencji a przeciwdziałanie próbom autorytarnego jej wykorzystywania przez władze publiczne. DOI: 10.26106/3mp1-tm69.
• 6. Hajduk, S. (2008). Istota zarządzania rozwojem przestrzennym gminy. Problemy Ekologii, 12(4), pp. 174-178.
• 7. https://view.officeapps.live.com/op/view.aspx?src=https datacatalogfiles. worldbank.org ddh-published 0038130 DR0046439 GDP.xlsx &wdOrigin=BROWSELINK, 10.09.2023.
• 8. IESE Cities in Motion Index, https://www.iese.edu/media/research/pdfs/ST-0633-E.pdf, 10.09.2023.
• 9. Korinek, A. (2019). Integrating Ethical Values and Economic Value to Steer Progress in Artificial Intelligence. NBER Working Papers, No. 26130. National Bureau of Economic Research, Inc, https://EconPapers.repec.org/RePEc:nbr:nberwo:26130.
• 10. Kuang, Y., Zhang, Y., Zhou, B., Li, C., Cao, Y., Li, L., Zeng, L. (2016). Renewable and Sustainable Energy Reviews, 59, pp. 504-513.
• 11. Łabędzki, K. (2022). Smart mobility - studium przypadku Metropolii Warszawa. Przegląd Organizacji, Nr 8(991), pp. 29-38. DOI: 10.33141/po.2022.08.04.
• 12. Leogrande, A., Costantiello, A., Laureti, L. (2021). The Broadband Penetration in Europe. Journal of Applied Economic Sciences, 16(3).
• 13. Liponhay, M., Valenzuela, J..F, Dorosan, M., Dailisan, D., Monterola, C. (2023). A Dynamic Urban Mobility Index from Clustering of Vehicle Speeds in a Tourist-Heavy City. Applied Sciences, 13(23), 12763. https://doi.org/10.3390/app132312763
• 14. Liszewski, S. (2012). Formy i struktury przestrzenne wielkich skupisk miejskich. In: S. Liszewski (ed.), Geografia urbanistyczna (pp. 207-254). Warszawa: PWN.
• 15. Mishra, A.R. (2022). Assessing the Adaptation of Internet of Things (IoT) Barriers for Smart Cities' Waste Management Using Fermatean Fuzzy Combined Compromise Solution Approach. IEEE Access, vol. 10, pp. 37109-37130, doi: 10.1109/ACCESS. 202 2.3164096.
• 16. Ohunakin, O.S. (2010). Energy utilization and renewable energy sources in Nigeria. Journal of Engineering and Applied Sciences, 5(2), 171-177.
• 17. Shao, Qigan, Jiang, Chang-Chang, Lo, Huai-Wei, Liou, J. (2021). An Assessment Model Of Smart City Sustainable Development: Integrating Approach With Z-DEMATEL And Z- TOPSIS-AL. 10.21203/rs.3.rs-1210313/v1.
• 18. Wojtylak, M., Kowalska, M., Ośródka, L., Klejnowski, K., Zejda, J.E., Krajny, E. (2009). Air quality index and its significance in environmental health risk communication. Archives of Environmental Protection, 35, 13-21.
• 19. Yigitcanlar, T., Kamruzzaman, M. (2019). Smart Cities and Mobility: Do the Smartness of Australian Cities Lead to Sustainable Commuting Patterns? Journal Urban Technology, Vol. 26, pp. 21-46

Identyfikatory

DOI

10.29119/1641-3466.2023.189.7