The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review
École Polytechnique Fédérale de Lausanne · Norwegian University of Science and Technology
Abstract
The dynamic landscape of sustainable smart cities is witnessing a significant transformation due to the integration of emerging computational technologies and innovative models. These advancements are reshaping data-driven planning strategies, practices, and approaches, thereby facilitating the achievement of environmental sustainability goals. This transformative wave signals a fundamental shift - marked by the synergistic operation of artificial intelligence (AI), artificial intelligence of things (AIoT), and urban digital twin (UDT) technologies. While previous research has largely explored urban AI, urban AIoT, and UDT in isolation, a significant knowledge gap exists regarding their synergistic interplay,…
Citation impact
- FWCI
- 55.71
- Percentile
- 100%
- References
- 231
Authors
4Topics & keywords
- Sustainability
- Transformative learning
- Context (archaeology)
- Smart city
- Computer science
- Sustainable development
- Management science
- Knowledge management