Smart eco-cities, characterized by advanced technological landscapes, are at the forefront of creating a new era of environmental sustainability. These smart city environments utilize cutting-edge Internet of Things (AIoT) solutions to address and mitigate environmental challenges.
Integration of AIoT technology enables these cities to leverage real-time data, optimize resource utilization, and implement innovative approaches to ecological protection and resilience. In doing so, they make significant contributions to creating more sustainable and resilient urban ecosystems, fostering a harmonious balance between technological progress and environmental well-being. As we explore the realm of smarter eco-cities, several questions arise:
What fundamental elements define the emergence of smarter eco-cities and how are they interconnected?
What factors are key drivers for the development of smarter eco-cities?
What are the primary artificial intelligence and AI solutions available for shaping the development of smarter eco-cities?
What challenges and obstacles are encountered in implementing artificial intelligence and AIoT solutions for the development of smarter eco-cities?
The valuable insights and novel perspectives presented in a systematic review published in "Environmental Science and Ecotechnology" provide policymakers, practitioners, and researchers with essential knowledge to advance the integration of eco-urbanization with artificial intelligence and AI-driven urbanization.
Since the mid-2010s, data-driven technologies and solutions have gradually influenced the dynamics of eco-cities in smart cities. This transformation aligns with a more intelligent approach to environmental sustainability, characterized by the integration of core eco-urban areas with smart city domains.
With the development of smart city technologies and solutions, including artificial intelligence, the Internet of Things, and big data, seamlessly integrated with sustainable technologies and strategies, this trajectory is expected to continue. This integration helps develop innovative approaches and demonstrate the ability to address increasingly complex challenges.
Therefore, the continuous progress of artificial intelligence and its applications contributes to the sustainable development of smart eco-cities, making them more intelligent in their pursuit of environmental sustainability.
To address the urgent need for effective solutions, these technologies are poised to offer new applications that can not only overcome current challenges but also pave the way for continuous improvement.
In addition, a positive feedback loop is expected to emerge, where the more these solutions are implemented, the higher the likelihood of further adoption. This can be attributed to the amplifying effects of network dynamics, continuous learning, adaptability, and enhanced coordination, forming a reinforcing cycle that positively impacts efforts towards environmental sustainability.
