Authors :
Rashmi K. R.; Dr. Bharath V.
Volume/Issue :
Volume 11 - 2026, Issue 7 - July
Google Scholar :
https://tinyurl.com/yvt69v2c
Scribd :
https://tinyurl.com/5n8y3yft
DOI :
https://doi.org/10.38124/ijisrt/26jul549
Note : A published paper may take 4-5
working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
The study examines how technology, particularly the Internet of Things (IoT) and artificial intelligence (AI),
might support sustainable urban development and real estate. Cities' effects on the environment, including energy use,
garbage output, and resource demand, present serious problems as they grow. As a result, sustainable urban development
has become a vital tactic to lessen these effects, with the goal of minimising ecological footprints while improving the
quality of life for locals. By enabling data-driven decision-making, real-time monitoring, and automated controls, IoT and
AI technologies present intriguing solutions that support the shift to more sustainable urban environments.
The study examines how IoT and AI technologies support resource management, trash reduction, and energy
efficiency—three important urban sustainability objectives. For example, precise energy monitoring and consumption
optimisation are made possible by smart grids and IoT-enabled sensors, and AI-driven algorithms help increase building
energy efficiency. IoT sensors that monitor garbage levels, optimise collection routes, and lower emissions are beneficial to
waste management. Real-time monitoring of air and water quality also improves resource management by facilitating
prompt responses and more sustainable resource utilisation.
To comprehend the potential of IoT and AI in improving urban sustainability, the research takes a conceptual
approach, combining current literature, theoretical frameworks, and case studies from smart city projects. The analysis
emphasizes these technologies' advantages as well as their drawbacks, including ethical issues with data privacy and
environmental effects. This study highlights the revolutionary potential of smart technology in building durable, effective,
and sustainable urban developments, despite its limitations due to its reliance on secondary data. The results indicate that
IoT and AI will play a significant role in creating sustainable cities of the future with careful deployment and regulatory
support.
References :
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- Amsterdam Smart City. (n.d.). Circular city. https://amsterdamsmartcity.com
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- Bibri, S. E. (2020). The emerging data-driven smart city and its innovative applied solutions for sustainability: The cases of London and Barcelona. Energy Informatics, 3(1), 1–25. https://doi.org/10.1186/s42162-020-00108-6
- CITEGO. (n.d.). Smart city and sustainable city: The case of Amsterdam. CITEGO Urban Knowledge Platform.
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- Nature Scientific Reports. (2025). Analytical approach to smart and sustainable city development with IoT. Scientific Reports. https://www.nature.com/articles/s41598-025-08861-y
- ResearchGate. (2024). The world's first 'Smart Nation' vision: The case of Singapore.
- ResearchGate. (2025). The Smart Cities Mission in India: An assessment and a case study.
- ScienceDirect. (2025). Balancing sustainability and security: A review of 5G and IoT in smart cities.
- SDG Local Action. (n.d.). Smart city Barcelona: A network of networks.
- SKOCH Exhibition. (n.d.). Integrated Command Control Center (ICCC): Pune Smart City Development Corporation Limited.
The study examines how technology, particularly the Internet of Things (IoT) and artificial intelligence (AI),
might support sustainable urban development and real estate. Cities' effects on the environment, including energy use,
garbage output, and resource demand, present serious problems as they grow. As a result, sustainable urban development
has become a vital tactic to lessen these effects, with the goal of minimising ecological footprints while improving the
quality of life for locals. By enabling data-driven decision-making, real-time monitoring, and automated controls, IoT and
AI technologies present intriguing solutions that support the shift to more sustainable urban environments.
The study examines how IoT and AI technologies support resource management, trash reduction, and energy
efficiency—three important urban sustainability objectives. For example, precise energy monitoring and consumption
optimisation are made possible by smart grids and IoT-enabled sensors, and AI-driven algorithms help increase building
energy efficiency. IoT sensors that monitor garbage levels, optimise collection routes, and lower emissions are beneficial to
waste management. Real-time monitoring of air and water quality also improves resource management by facilitating
prompt responses and more sustainable resource utilisation.
To comprehend the potential of IoT and AI in improving urban sustainability, the research takes a conceptual
approach, combining current literature, theoretical frameworks, and case studies from smart city projects. The analysis
emphasizes these technologies' advantages as well as their drawbacks, including ethical issues with data privacy and
environmental effects. This study highlights the revolutionary potential of smart technology in building durable, effective,
and sustainable urban developments, despite its limitations due to its reliance on secondary data. The results indicate that
IoT and AI will play a significant role in creating sustainable cities of the future with careful deployment and regulatory
support.