Next generation AI-Blockchain enabled smart city: Conceptual framework, key technologies and society 5.0 perspectives
The urban environment is increasingly metamorphosing with the influx of AI and blockchain technologies that suggest the evolution of AI and blockchain technologies which seem to steer the next era smart cities. The inhabitants of such cities will be able to more easily solve numerous social issues with the aid of integrated technology in every day urban living thereby realising the aspirations of Society 5.0. The paper proposes a conceptual model of AI and blockchain-based smart cities and reveals their potential in driving innovations, providing cybersecurity, and increasing resiliency to natural hazards and disasters. In particular possible integration of IoT, big data, machine learning, as well as the trust provided by blockchain technology through its distributed accounting systems into the management of urban retreats will be discussed. Moreover, the paper outlines synthesis of these various technologies embodied in Weather Control that allows restraining life's risks posed by natural hazards in the form of continuous surveillance, analysis, and transnational management of crises. Fifth society concepts emphasize human-centric aspects, which are equally important in these new technologies, as do achieving the goals of social development and environmental protection. The understanding is that the combination of AI and blockchain, in the context of smart cities enhances the operational performance in addition to providing protection of city infrastructures from cybercrime and natural disasters. This research provides useful evidence to the policymakers, the urban designers, and the developers of technologies committed to the ideals of smart cities that are efficient, safe, and robust.
Institutions
- Near East University (CY)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-03
- DOI
- https://doi.org/10.5281/zenodo.17257862
- Primary Topic
- Global Financial Crisis and Policies
- Type
- article
- Field-Weighted Citation Impact
- 0.00