AI as a catalyst for innovative scientific research in urban design: enhancing analytical rigour and human centred design

Abstract

This paper examines Artificial Intelligence (AI) in urban design research as both an analytical tool and an adaptive evaluation framework. By comparing AI-based and traditional methods, it shows how AI can reveal hidden patterns in complex urban systems while supporting human-centred design. Using a human-in-the-loop perspective, the paper highlights AI’s integrative, interdisciplinary role in strengthening methodological rigour, accountability, and contextual validation. It argues that AI-driven evaluation can enable more responsive, inclusive, and sustainable urban design solutions, providing a foundation for more effective and accountable research and practice.