Al-Qadisiyah Journal for Engineering Sciences

Community-centric AI applications in Urban renewal

Document Type : Review Paper

Authors

Li Yang 1
Ahmad S. Hassan 1
Yasser Arab 2

1 School of Building, Housing and Planning, Universiti Sains Malaysia.

2 Department of Architectural Engineering, College of Engineering, Dhofar University, Sultanate of Oman.

https://doi.org/10.30772/qjes.2025.155912.1454
Abstract
This study explores the transformative potential of Artificial Intelligence (AI) in enhancing community engagement within urban regeneration projects. AI’s capacity to process vast datasets, analyze trends, and predict outcomes is revolutionizing urban planning by fostering more inclusive, adaptive, and responsive urban ecosystems. Through a bibliometric literature review, we examined existing research on AI’s role in democratizing decision-making by aggregating, analyzing, and interpreting residents’ opinions and feedback. The findings demonstrate that AI effectively addresses critical urban challenges, including traffic congestion, environmental degradation, resource allocation, and public safety, thereby enabling smarter, data-driven solutions. Moreover, AI’s ability to identify community needs ensures greater resident participation and more equitable urban development. However, significant challenges remain, particularly concerning data privacy, algorithm transparency, and ethical implications. Addressing these issues requires robust policy frameworks, adaptive governance models, and clear regulatory measures to mitigate risks and promote fairness. In conclusion, while challenges exist, AI holds immense potential to contribute to the development of smarter, more resilient, sustainable, and inclusive urban environments, where community voices are prioritized and integrated effectively.

Keywords

Artificial intelligence
Community participation
Urban management
Data science
Smart Cities
Crossmark
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Al-Qadisiyah Journal for Engineering Sciences
Volume 18, Issue 4
Autumn 2025
Pages 397-402

  • Receive Date 05 October 2024
  • Revise Date 21 December 2024
  • Accept Date 11 September 2025

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