AI-Driven Predictive Analytics for Smart Cities and Urban ‎Planning

  • Authors

    • Ankita Agarwal Assistant Professor, Maharishi School of Engineering & Technology, Maharishi University of Information Technology, Lucknow, India
    • Dr. Shashikant Patil Professor, uGDX, ATLAS SkillTech University, Mumbai, India
    • Dr. Prabhat Ku. Sahu Associate Professor, Computer Science and Information Technology, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, ‎Odisha, India
    • Evelyn Jeny Assistant Professor, Department of Architecture, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India
    • Dushyanth V. Babu Associate Professor, Department of Civil Engineering, Faculty of Engineering and Technology, JAIN (Deemed-to-be University), ‎Ramnagar District, Karnataka, India
    • Ashish Verma Center of Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India
    • Yuvraj Parmar Chitkara Center for Research and Development, Chitkara University, Himachal Pradesh, India
    https://doi.org/10.14419/wmfvgq72

    Received date: May 2, 2025

    Accepted date: May 31, 2025

    Published date: October 30, 2025

  • AI; Smart City; Urban; Planning

  • Abstract

    In recent years, artificial intelligence (AI) has emerged as a primary option for tackling the economic, social, environmental, and governance ‎concerns confronting cities. AI's advanced capabilities can substantially assist local governments in attaining sustainable urban ‎development. Nonetheless, the application of AI in urban planning remains a relatively uncharted territory, particularly in bridging theoretical ‎concepts with practical implementation. This paper provides a comprehensive examination of the several facets of urban planning in which ‎AI technologies are being investigated or actively utilized, and it explores how these technologies might facilitate or enhance smart and ‎sustainable development. This research employs a systematic literature review following the PRISMA procedure. The principal findings are: ‎‎(a) Early adopters' real-world applications of AI in urban planning are facilitating broader acceptance by local governments; (b) The ‎expansion of AI utilisation in urban planning necessitates collaboration and partnerships among essential stakeholders; (c) Big data is ‎imperative for the effective application of AI in urban planning; and (d) The integration of artificial and human intelligence is essential for ‎addressing urbanisation challenges and attaining smart, sustainable development. These insights emphasize the necessity to improve ‎planning procedures utilizing sophisticated data and analytical methodologies‎.

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  • How to Cite

    Agarwal , A. ., Patil , D. S. ., Sahu , D. P. K. ., Jeny , E. ., Babu , D. V. ., Verma , A. ., & Parmar, Y. . (2025). AI-Driven Predictive Analytics for Smart Cities and Urban ‎Planning. International Journal of Basic and Applied Sciences, 14(SI-1), 314-318. https://doi.org/10.14419/wmfvgq72