FROM DATA TO DESIGN: BIBLIOMETRIC INSIGHTS ON AI APPLICATIONS IN SUSTAINABLE SMART CITY PLANNING

Abstract

The Integration Of Artificial Intelligence (AI) Into Urban Planning Has Emerged As A Transformative Approach To Addressing The Challenges Of Sustainability And Smart City Development. This Study Provides A Heuristic Bibliometric Analysis To Explore The Evolving Role Of AI In Sustainable Urban Design, Identifying Key Trends, Thematic Clusters, And Research Gaps. The Findings Highlight How AI Technologies, Such As Machine Learning And Predictive Analytics, Are Reshaping Urban Systems By Enabling Data-Driven Decision-Making, Optimizing Resource Management, And Fostering Innovative Design Methodologies. The Research Also Underscores The Importance Of Interdisciplinary Collaboration Between Urban Planners, Data Scientists, And Policymakers To Create Holistic Solutions That Align With Sustainable Development Goals. While Significant Progress Has Been Made In Areas Like Energy Efficiency, Mobility Planning, And Climate Resilience, Ethical Considerations And Inclusivity Remain Underexplored In The Literature. This Analysis Advocates For A Broader Focus On Equitable AI Deployment And The Scalability Of Smart City Solutions To Diverse Urban Contexts. By Synthesizing Current Knowledge And Identifying Future Research Directions, This Study Contributes To Advancing The Discourse On Leveraging AI For Sustainable Urban Futures While Addressing Contemporary Challenges In Smart City Planning.