Smart City Gnosys
Smart city article details
| Title | Unleashing Urban Technology Dynamics: The Interplay Of Ai Patents, Metropolitan Area Population, And R&D Expenditures In Sustainable Urban Development |
|---|---|
| ID_Doc | 59647 |
| Authors | Göçoğlu V.; Göksu S.; Kotter R. |
| Year | 2025 |
| Published | Journal of Urban Technology, 32, 3 |
| DOI | http://dx.doi.org/10.1080/10630732.2023.2289818 |
| Abstract | In light of escalating population growth in many metropolitan areas, there is an increasing need for sensibly managed technological innovations pertaining to the urban environment. To facilitate the development of such innovations in the realm of urban technology, it is imperative to explore the migration of patented artificial intelligence (AI) applications into the urban environment as well as to discuss the degrees of, prevalence of, and types of AI. However, scholarly research on urban technology tends to neglect the research and development (R&D) expenditures linked to this expansion. This present study focuses on AI patents as a fundamental driver for the proliferation of AI applications within cities, taking factors into account, such as the concentration of the population in urban centers and the levels/volume of allocation of R&D expenditure. By conducting a panel data analysis on 18 countries that have demonstrated internationally noted practices in smart city development, the study reveals compelling findings that underscore the positive impact of augmented R&D expenditures on the generation of AI patents, surpassing the effects of corresponding expenditure increases. These findings suggest that policymakers can reasonably view R&D investment as a favorable policy approach to foster advancements and applications in commercially underpinned but societally beneficial AI. © 2024 The Society of Urban Technology. |
| Author Keywords | AI innovation; panel data analysis; research and development (R&D) expenditures; sustainable urban development (SUD); urban technology |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
16010  | 0.897 | Yigitcanlar T.; Desouza K.C.; Butler L.; Roozkhosh F. | Contributions And Risks Of Artificial Intelligence (Ai) In Building Smarter Cities: Insights From A Systematic Review Of The Literature | Energies, 13, 6 (2020) |
| 10391 | 0.892 | Lartey D.; Law K.M.Y. | Artificial Intelligence Adoption In Urban Planning Governance: A Systematic Review Of Advancements In Decision-Making, And Policy Making | Landscape and Urban Planning, 258 (2025) |
| 3935 | 0.887 | Ayfantopoulou G.; Touloumidis D.; Mallidis I.; Xenou E. | A Quantitative Model Of Innovation Readiness In Urban Mobility: A Comparative Study Of Smart Cities In The Eu, Eastern Asia, And Usa Regions | Smart Cities, 6, 6 (2023) |
| 13108 | 0.886 | Karger E.; Rothweiler A.; Brée T.; Ahlemann F. | Building The Smart City Of Tomorrow: A Bibliometric Analysis Of Artificial Intelligence In Urbanization | Urban Science, 9, 4 (2025) |
| 55072 | 0.884 | Hlongwa L. | The City As An Algorithmic Formation: Insights From Patent Data | Work Organisation, Labour and Globalisation, 14, 1 (2020) |
| 54591 | 0.882 | Vats S.; Mehta S.; Srivastava A. | Technological Innovations And Their Impact On Urban Sustainability: Case Studies From Smart Cities | 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 (2024) |
| 58347 | 0.881 | Khlie K.; Benmamoun Z. | Towards Smarter And Greener Cities: Harnessing Ai And Green Technology For Urban Sustainability | Journal of Infrastructure, Policy and Development, 8, 8 (2024) |
| 25784 | 0.88 | Alsabt, R; Adenle, YA; Alshuwaikhat, HM | Exploring The Roles, Future Impacts, And Strategic Integration Of Artificial Intelligence In The Optimization Of Smart City-From Systematic Literature Review To Conceptual Model | SUSTAINABILITY, 16, 8 (2024) |
| 35974 | 0.877 | Luan B.; Feng X. | Machine Learning For Resilient And Sustainable Cities: A Bibliometric Analysis Of Smart Urban Technologies | Buildings, 15, 7 (2025) |
| 15585 | 0.877 | Cugurullo F.; Caprotti F.; Cook M.; Karvonen A.; McGuirk P.; Marvin S. | Conclusions: The Present Of Urban Ai And The Future Of Cities | Artificial Intelligence and the City: Urbanistic Perspectives on Ai (2023) |