Towards Urban Planing AI Agent in the Age of Agentic AI

Fuente: arXiv
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Autores principales: Liu, Rui, Zhe, Tao, Peng, Zhong-Ren, Catbas, Necati, Ye, Xinyue, Wang, Dongjie, Fu, Yanjie
Formato: Preprint
Publicado: 2025
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author Liu, Rui
Zhe, Tao
Peng, Zhong-Ren
Catbas, Necati
Ye, Xinyue
Wang, Dongjie
Fu, Yanjie
author_facet Liu, Rui
Zhe, Tao
Peng, Zhong-Ren
Catbas, Necati
Ye, Xinyue
Wang, Dongjie
Fu, Yanjie
contents Generative AI, large language models, and agentic AI have emerged separately of urban planning. However, the convergence between AI and urban planning presents an interesting opportunity towards AI urban planners. Existing studies conceptualizes urban planning as a generative AI task, where AI synthesizes land-use configurations under geospatial, social, and human-centric constraints and reshape automated urban design. We further identify critical gaps of existing generative urban planning studies: 1) the generative structure has to be predefined with strong assumption: all of adversarial generator-discriminator, forward and inverse diffusion structures, hierarchical zone-POI generative structure are predefined by humans; 2) ignore the power of domain expert developed tools: domain urban planners have developed various tools in the urban planning process guided by urban theory, while existing pure neural networks based generation ignore the power of the tools developed by urban planner practitioners. To address these limitations, we outline a future research direction agentic urban AI planner, calling for a new synthesis of agentic AI and participatory urbanism.
format Preprint
id arxiv_https___arxiv_org_abs_2507_14730
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Towards Urban Planing AI Agent in the Age of Agentic AI
Liu, Rui
Zhe, Tao
Peng, Zhong-Ren
Catbas, Necati
Ye, Xinyue
Wang, Dongjie
Fu, Yanjie
Artificial Intelligence
Generative AI, large language models, and agentic AI have emerged separately of urban planning. However, the convergence between AI and urban planning presents an interesting opportunity towards AI urban planners. Existing studies conceptualizes urban planning as a generative AI task, where AI synthesizes land-use configurations under geospatial, social, and human-centric constraints and reshape automated urban design. We further identify critical gaps of existing generative urban planning studies: 1) the generative structure has to be predefined with strong assumption: all of adversarial generator-discriminator, forward and inverse diffusion structures, hierarchical zone-POI generative structure are predefined by humans; 2) ignore the power of domain expert developed tools: domain urban planners have developed various tools in the urban planning process guided by urban theory, while existing pure neural networks based generation ignore the power of the tools developed by urban planner practitioners. To address these limitations, we outline a future research direction agentic urban AI planner, calling for a new synthesis of agentic AI and participatory urbanism.
title Towards Urban Planing AI Agent in the Age of Agentic AI
topic Artificial Intelligence
url https://arxiv.org/abs/2507.14730