Leveraging AI for Sustainable Urban Planning in the Development of Smart Cities

Authors

  • S. Balamuralitharan
  • Kuldeep Anil Hule
  • Dasari Sailaja
  • Suhas Bhaskar Deokate
  • Mahesh B Lonare

Keywords:

Artificial Intelligence, Sustainable Urban Planning, Smart Cities, Urban Development, Predictive Modeling, Intelligent Systems, Environmental Sustainability, Smart Governance

Abstract

Many challenges for urban sustainability appear because of fast urban growth, affecting both nature and resource use. AI is helping change the way cities are built by supporting smart city projects with data, giving cities more resources and involving their citizens more. This paper investigates how AI plays a role in making cities more sustainable by supporting real-time traffic control, improving energy use, lowering waste and urban forecasting. It looks at AI applications in cities today, offers a new process for urban planning using AI and explains what can be learned from simulation results. The results suggest that AI holds promise for improving smart city planning, but raise ethical, government and data privacy issues. This research advances the growing number of studies urging sustainable and durable urban development through AI.

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References

J. De Jesús Camacho, B. Aguirre, P. Ponce, B. Anthony, and A. Molina, “Leveraging Artificial intelligence to Bolster the energy sector in Smart Cities: A literature review,” Energies, vol. 17, no. 2, p. 353, Jan. 2024, doi: 10.3390/en17020353.

M. E. E. Alahi et al., “Integration of IoT-Enabled Technologies and Artificial intelligence (AI) for Smart City Scenario: recent advancements and future trends,” Sensors, vol. 23, no. 11, p. 5206, May 2023, doi: 10.3390/s23115206.

N. Pallavi and S. Joshi, “Leveraging AI techniques for an efficient approach to smart city planning and maintenance,” in Communications in computer and information science, 2025, pp. 134–145. doi: 10.1007/978-3-031-85324-1_10.

D. K. Das, “Digital Technology and AI for Smart Sustainable Cities in the Global South: A Critical Review of Literature and Case studies,” Urban Science, vol. 9, no. 3, p. 72, Mar. 2025, doi: 10.3390/urbansci9030072.

W. L. Filho et al., “The role of artificial intelligence in the implementation of the UN Sustainable Development Goal 11: Fostering sustainable cities and communities,” Cities, vol. 150, p. 105021, Apr. 2024, doi: 10.1016/j.cities.2024.105021.

Z. Lifelo, J. Ding, H. Ning, N. Qurat-Ul-Ain, and S. Dhelim, “Artificial Intelligence-Enabled Metaverse for Sustainable Smart Cities: technologies, applications, challenges, and future directions,” Electronics, vol. 13, no. 24, p. 4874, Dec. 2024, doi: 10.3390/electronics13244874.

S. E. Bibri, J. Huang, S. K. Jagatheesaperumal, and J. Krogstie, “The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review,” Environmental Science and Ecotechnology, vol. 20, p. 100433, May 2024, doi: 10.1016/j.ese.2024.100433.

S. E. Bibri, A. Alexandre, A. Sharifi, and J. Krogstie, “Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review,” Energy Informatics, vol. 6, no. 1, Apr. 2023, doi: 10.1186/s42162-023-00259-2.

R. Wolniak and K. Stecuła, “Artificial Intelligence in Smart Cities—Applications, Barriers, and Future Directions: A review,” Smart Cities, vol. 7, no. 3, pp. 1346–1389, Jun. 2024, doi: 10.3390/smartcities7030057.

H. Xu, F. Omitaomu, S. Sabri, S. Zlatanova, X. Li, and Y. Song, “Leveraging generative AI for urban digital twins: a scoping review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city advancement,” Urban Informatics, vol. 3, no. 1, Oct. 2024, doi: 10.1007/s44212-024-00060-w.

B. M. Mohsen, “AI-Driven optimization of urban logistics in smart cities: integrating autonomous vehicles and IoT for efficient delivery systems,” Sustainability, vol. 16, no. 24, p. 11265, Dec. 2024, doi: 10.3390/su162411265.

W. He and M. Chen, “Advancing Urban Life: A Systematic review of emerging technologies and artificial intelligence in urban design and planning,” Buildings, vol. 14, no. 3, p. 835, Mar. 2024, doi: 10.3390/buildings14030835.

R. Alsabt, Y. A. Adenle, and H. M. Alshuwaikhat, “Exploring the roles, future impacts, and strategic integration of artificial intelligence in the optimization of Smart City—From systematic literature review to Conceptual model,” Sustainability, vol. 16, no. 8, p. 3389, Apr. 2024, doi: 10.3390/su16083389.

Skubis, R. Wolniak, and W. W. Grebski, “AI and Human-Centric Approach in Smart Cities Management: Case Studies from Silesian and Lesser Poland Voivodships,” Sustainability, vol. 16, no. 18, p. 8279, Sep. 2024, doi: 10.3390/su16188279.

B. K. Kuguoglu, H. Van Der Voort, and M. Janssen, “The giant leap for smart cities: scaling up smart City Artificial intelligence of Things (AIoT) initiatives,” Sustainability, vol. 13, no. 21, p. 12295, Nov. 2021, doi: 10.3390/su132112295.

T. Yigitcanlar, K. Desouza, L. Butler, and F. Roozkhosh, “Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature,” Energies, vol. 13, no. 6, p. 1473, Mar. 2020, doi: 10.3390/en13061473.

Z. R. M. A. Kaiser and A. Deb, “Sustainable smart city and Sustainable Development Goals (SDGs): A review,” Regional Sustainability, vol. 6, no. 1, p. 100193, Feb. 2025, doi: 10.1016/j.regsus.2025.100193.

R. Mortaheb and P. Jankowski, “Smart city re-imagined: City planning and GeoAI in the age of big data,” Journal of Urban Management, vol. 12, no. 1, pp. 4–15, Aug. 2022, doi: 10.1016/j.jum.2022.08.001.

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Published

2025-05-29

How to Cite

1.
Balamuralitharan S, Hule KA, Sailaja D, Deokate SB, B Lonare M. Leveraging AI for Sustainable Urban Planning in the Development of Smart Cities. J Neonatal Surg [Internet]. 2025May29 [cited 2025Oct.12];14(28S):752-9. Available from: https://www.jneonatalsurg.com/index.php/jns/article/view/6688

Issue

Vol. 14 No. 28S (2025): Journal of Neonatal Surgery

Section

Original Article

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