Harnessing Large Language Models for Urban Planning Innovation

The collection of articles highlights critical insights into the integration of artificial intelligence (AI) in urban planning and smart city development. Batty’s work emphasizes AI’s transformative potential for cities, while Marasinghe et al. systematically review computer vision applications, identifying both opportunities and constraints. Historical perspectives by Berry and Jacobs inform contemporary practices, pointing to the systemic nature of urban environments. Future-oriented discussions surrounding planning support systems and digital twins underscore the necessity for cohesive, integrated approaches to urban planning, as noted by Cejudo and others. Recent studies explore the ethical implications of AI in planning, as well as its capacity to enhance citizen engagement through natural language processing. Overall, the synthesis of these insights reveals a rapidly evolving landscape in urban planning, driven by technological advancements, fostering resilience and smart city frameworks while addressing historical challenges and ethical dilemmas.

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