AI as a catalyst for innovative scientific research in urban design: enhancing analytical rigour and human centred design
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.
Authors
- Hee Sun Choi (ORCID: https://orcid.org/0000-0002-1580-7814)
- Wang Zhang (ORCID: https://orcid.org/0009-0002-1901-6427)
Institutions
- Hong Kong Polytechnic University (HK)
Publication Details
- Journal
- Journal of Urban Design
- Published
- 2026-09-04
- DOI
- https://doi.org/10.1080/13574809.2026.2722892
- Primary Topic
- Smart Cities and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00