ABSTRACT. This study examines the potential of AI to transform the practice of architecture, emphasizing the contributions of generative AI towards the construction of physical spaces, citizen outreach engagement, and the management of big data towards smart city frameworks. The paper relies on primary quantitative data that is both methodological and empirically comprehensive, as it is supplemented by literature reviews, surveys, experimental scenarios, and statistical analyses of responses from 44 professionals in urban planning, AI, and policy. The survey and trial response data are used to measure the effectiveness of AI across urban principles research across the efficiency, inclusivity, scalability, and sustainability axes. A key finding drawn from the reviewed literature is that AI is a crucial factor in accomplishing the sustainable development agenda, including optimizing forms and shapes of cities and enhancing energy efficiency and climate change resilience. The research further points to cost as a significant barrier towards adoption and utilization of AI solutions especially in the context of developing countries and small and medium enterprises. Collaborative frameworks are essential for incor- porating interdisciplinary and multisectoral knowledge to manage the complexity of urban problems.
JEL codes: O18; P25; Q01; Q56

Keywords: generative AI; smart city planning; sustainable infrastructure; civic engagement; urban transformation; data-driven decision making; environmental sustainability

How to cite: Nica, E., Pârvu, I. A., Emek, M. L., Adilbekova, K., Grigoroiu, M. (2023). “Transforming Urban Landscapes through Generative Artificial Intelligence: A Comprehensive Approach to Smart City Planning, Sustainable Infrastructure Development, and Enhanced Civic Engagement,” Journal of Self-Governance and Management Economics 11(3): 9–41. doi: 10.22381/jsme11320231.

Received 16 May 2023 • Received in revised form 21 September 2023
Accepted 27 September 2023 • Available online 30 September 2023