AI-Enabled Sustainable Urban Planning and Management
Mahapara Abbass, Shalom Akhai, Uzma Abbas, Rana Jafri, Syed Mohd. Arif
Abstract
This chapter explores the transformative potential of Artificial Intelligence (AI) in sustainable urban planning. As cities grapple with rapid urbanization and climate change, AI offers innovative solutions through data analytics, predictive modeling, and optimization. Successful AI-enabled urban planning projects demonstrate the importance of data-driven decision-making, community engagement, interdisciplinary collaboration, and scalability. The chapter examines AI applications in traffic management, energy efficiency, waste management, urban design, and community engagement. Ethical considerations, including data privacy, algorithmic bias, and digital divide, are discussed, emphasizing the need for responsible AI development and inclusive planning. This chapter provides insights into how AI-enhanced urban planning can promote sustainability, resilience, and social equity. Key considerations for AI adoption, such as data-driven decision-making and community engagement, are highlighted.