Unlocking Urban Futures: The Role Of Big Data Analytics And AI In Urban Planning – A Systematic Literature Review And Bibliometric Insight

Abstract

Big Data analytics and artificial intelligence (AI) are increasingly being used in urban planning to address complicated issues caused by social inequity, environmental limits, and rapid urban expansion. This study examines how AI and data analytics can improve urban resilience, sustainability, and efficiency. AI technologies offer strong tools for managing infrastructure, including water, sewage, and energy networks; forecasting urban growth trends; and optimizing resource allocation. AI enhances traffic flow, energy management, environmental sustainability, and real-time decision making by evaluating large datasets from sensors and other sources. This study[1] focuses on the management of utility networks and synthesizes previous research on AI and data analytics applications in urban planning using a methodological literature review approach. Key findings show that AI may help create smarter and more sustainable cities by predicting demand, preventing system failures, and optimizing performance. The integration of AI into urban systems raises ethical questions regarding privacy and monitoring, which are also covered in this study. It ends with doable suggestions for putting AI-driven urban solutions into practice as well as future research paths to strengthen AI's contribution to the development of livable, egalitarian, and adaptable urban settings.