Artificial Intelligence for Smart Cities: A Comprehensive Review Across Six Pillars and Global Case Studies
Rapid urbanization in the twenty-first century has significantly accelerated the adoption of artificial intelligence (AI) technologies to address growing challenges in governance, mobility, energy, and urban security. This paper explores how AI is transforming smart city infrastructure, analyzing mo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Urban Science |
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| Online Access: | https://www.mdpi.com/2413-8851/9/7/249 |
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| author | Joel John Rayappa David Amar Raj Maryam Karimi Rouzbeh Nazari Rama Muni Reddy Yanamala Archana Pallakonda |
| author_facet | Joel John Rayappa David Amar Raj Maryam Karimi Rouzbeh Nazari Rama Muni Reddy Yanamala Archana Pallakonda |
| author_sort | Joel John |
| collection | DOAJ |
| description | Rapid urbanization in the twenty-first century has significantly accelerated the adoption of artificial intelligence (AI) technologies to address growing challenges in governance, mobility, energy, and urban security. This paper explores how AI is transforming smart city infrastructure, analyzing more than 92 academic publications published between 2012 and 2024. Key AI applications ranging from predictive analytics in e-governance to machine learning models in renewable energy management and autonomous mobility systems are synthesized domain-wise throughout this study. This paper highlights the benefits of AI-enabled decision making, finds current implementation barriers, and discusses the associated ethical implications. Furthermore, it presents a research agenda that stresses data interoperability, transparency, and human–AI collaboration to steer upcoming advancements in smart urban ecosystems. |
| format | Article |
| id | doaj-art-29fd480dcedd44578e260050d898d46e |
| institution | Kabale University |
| issn | 2413-8851 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Urban Science |
| spelling | doaj-art-29fd480dcedd44578e260050d898d46e2025-08-20T03:56:46ZengMDPI AGUrban Science2413-88512025-07-019724910.3390/urbansci9070249Artificial Intelligence for Smart Cities: A Comprehensive Review Across Six Pillars and Global Case StudiesJoel John0Rayappa David Amar Raj1Maryam Karimi2Rouzbeh Nazari3Rama Muni Reddy Yanamala4Archana Pallakonda5Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore 641112, Tamil Nadu, IndiaAmrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore 641112, Tamil Nadu, IndiaSchool of Public Health, The University of Memphis, Memphis, TN 38152, USADepartment of Civil, Construction, and Environmental Engineering, The University of Memphis, Memphis, TN 38152, USAAmrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore 641112, Tamil Nadu, IndiaDepartment of Computer Science and Engineering, National Institute of Technology Warangal, Warangal 506004, Telangana, IndiaRapid urbanization in the twenty-first century has significantly accelerated the adoption of artificial intelligence (AI) technologies to address growing challenges in governance, mobility, energy, and urban security. This paper explores how AI is transforming smart city infrastructure, analyzing more than 92 academic publications published between 2012 and 2024. Key AI applications ranging from predictive analytics in e-governance to machine learning models in renewable energy management and autonomous mobility systems are synthesized domain-wise throughout this study. This paper highlights the benefits of AI-enabled decision making, finds current implementation barriers, and discusses the associated ethical implications. Furthermore, it presents a research agenda that stresses data interoperability, transparency, and human–AI collaboration to steer upcoming advancements in smart urban ecosystems.https://www.mdpi.com/2413-8851/9/7/249smart citiesartificial intelligencedigital governanceurban sustainabilitymachine learningIoT |
| spellingShingle | Joel John Rayappa David Amar Raj Maryam Karimi Rouzbeh Nazari Rama Muni Reddy Yanamala Archana Pallakonda Artificial Intelligence for Smart Cities: A Comprehensive Review Across Six Pillars and Global Case Studies Urban Science smart cities artificial intelligence digital governance urban sustainability machine learning IoT |
| title | Artificial Intelligence for Smart Cities: A Comprehensive Review Across Six Pillars and Global Case Studies |
| title_full | Artificial Intelligence for Smart Cities: A Comprehensive Review Across Six Pillars and Global Case Studies |
| title_fullStr | Artificial Intelligence for Smart Cities: A Comprehensive Review Across Six Pillars and Global Case Studies |
| title_full_unstemmed | Artificial Intelligence for Smart Cities: A Comprehensive Review Across Six Pillars and Global Case Studies |
| title_short | Artificial Intelligence for Smart Cities: A Comprehensive Review Across Six Pillars and Global Case Studies |
| title_sort | artificial intelligence for smart cities a comprehensive review across six pillars and global case studies |
| topic | smart cities artificial intelligence digital governance urban sustainability machine learning IoT |
| url | https://www.mdpi.com/2413-8851/9/7/249 |
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