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This research aims to examine the evolution of urban modeling and planning support systems integrating AI and learning.

December 8, 2025Urban ScienceOpen Access

Evolving from Rules to Learning in Urban Modeling and Planning Support Systems

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This research aims to examine the evolution of urban modeling and planning support systems integrating AI and learning.
Analyzed 1290 publications from 2000-2025
Used structured literature retrieval and retrieval-augmented generation for evidence extraction
Employed bibliometric mapping and a coding framework for data synthesis
Identified a shift from rule-based to learned spatial representations in SDM
Highlighted the transformation of PSS from static tools to interactive environments
Noted the rise of governance themes in modeling, such as transparency and accountability

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Review reveals links between AI, stakeholder engagement, and urban modeling governance, suggesting enhanced transparency and accountability.

Zipan Cai (2025) studied this question.

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Review reveals links between AI, stakeholder engagement, and urban modeling governance, suggesting enhanced transparency and accountability.