An innovative AI-based framework has been developed to evaluate smart building services across five critical infrastructure domains in smart cities. Utilizing Large Language Models like OpenAI's ChatGPT-3 and Google's Bard, the framework assesses 26 criteria related to mobility, energy, water, waste management, and security. This approach aims to improve urban sustainability and resilience by addressing the limitations of existing evaluation methods.
The study highlights the significant impact of smart building services on smart city performance, particularly in energy and water management. Case studies from various global projects demonstrate the framework's effectiveness, revealing that while some buildings excelled in integration, others showed room for improvement. The research emphasizes the need for a broader application of the framework to enhance decision-making in urban infrastructure development.
• AI framework evaluates smart building services in smart cities.
• ChatGPT-3 and Google Bard enhance smart city performance assessment.
These models, including ChatGPT-3 and Google Bard, are utilized to analyze smart building services and their impact on smart city performance.
The study evaluates how these buildings integrate into the broader smart city ecosystem.
This method was applied in the study to validate the AI-generated evaluation framework through iterative rounds of feedback.
OpenAI's ChatGPT-3 was integral to the framework for evaluating smart building services.
Google's Bard was utilized in the study to assess the integration of smart building services.
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