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Date of Acceptance

December 2025

Date of Submission

March 2025

Abstract

The rapid acceleration of urbanization has amplified the multifaceted challenges confronting cities in attaining sustainability and ensuring livability. Artificial Intelligence technologies stand out as transformative tools with the potential to revolutionize urban development through finding innovative solutions to urban challenges. By leveraging AI, cities can optimize resource allocation, enhance decision-making processes, and create urban environments that are both livable and environmentally sustainable. Achieving this transformation requires visionary policymakers, meticulous planning, and a commitment to ethical AI deployment. Through AI's data-driven insights, urban planners can make informed decisions that align with the complex and dynamic needs of urban areas. This research investigates the strategic incorporation of AI into urban planning, infrastructure development, and public service provision. The literature review establishes a theoretical foundation by synthesizing key themes and challenges in the application of AI to urban contexts. Case studies provide contextualized insights into how AI technologies have been implemented across domains such as energy management, transportation, waste systems, healthcare, and citizen engagement. The research is conducted in three stages: first, a comprehensive literature review to evaluate current applications of AI in urban contexts; second, an in-depth analysis of relevant international case studies; and third, the extraction of key lessons learned from these cases. Based on these findings, the research proposes a structured AI lifecycle framework designed to enhance the development of sustainable and livable cities. This framework outlines distinct phases, each with specific data requirements and operational considerations, offering a roadmap for the integration of AI into urban planning and management.

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