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- Title
THE RELATIONSHIP BETWEEN THE WEALTH OF THE COUNTRY AND THE QUANTITY AND DEVELOPMENT OF SMART CITIES.
- Authors
CZUPRYNA-NOWAK, Aleksandra; LYTVYN, Vasyl
- Abstract
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.
- Subjects
SMART cities; URBAN growth; URBAN planning; NATURAL resources management; TECHNOLOGICAL innovations; CLEAN energy; ENERGY demand management
- Publication
Scientific Papers of Silesian University of Technology. Organization & Management / Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie, 2023, Issue 189, p107
- ISSN
1641-3466
- Publication type
Article
- DOI
10.29119/1641-3466.2023.189.7