Community-centric AI applications in Urban renewal

1Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

This study explores the transformative potential of Artificial Intelligence (AI) in enhancing community engagement in urban regeneration projects. AI’s ability to process large datasets and predict trends is revolutionizing urban planning, fostering more inclusive and responsive urban ecosystems. We employed a bibliometric literature review to analyze existing research, focusing on AI’s role in democratizing decision-making by aggregating and analyzing residents’ opinions. Key findings include AI’s effectiveness in addressing urban issues such as traffic congestion, environmental degradation, and public safety. Despite the benefits, challenges such as data privacy and algorithm transparency are significant. The research advocates for robust policy frameworks and adaptive governance models to ensure equitable benefits. Conclusively, AI can significantly contribute to creating smarter, more resilient, and inclusive urban environments.

Cite

CITATION STYLE

APA

Yang, L., Hassan, A. S., & Arab, Y. (2025). Community-centric AI applications in Urban renewal. Al-Qadisiyah Journal for Engineering Sciences, 18(4), 397–402. https://doi.org/10.30772/qjes.2025.155912.1454

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free