CoDesignAI: An AI-Enabled Multi-Agent, Multi-User System for Collaborative Urban Design at the Conceptual Stage
Zhaoxi Zhang, Ruolin Wu, Feiyang Ren, Sridevi Turaga, Tamir Mendel

TL;DR
CoDesignAI is a novel AI-enabled multi-agent system that facilitates collaborative urban design by engaging multiple users and AI agents in participatory, iterative, and visual design processes at the conceptual stage.
Contribution
This paper introduces a new web-based platform integrating generative AI and spatial mapping to enhance public participation in urban design, shifting from expert-centered to participatory approaches.
Findings
Supports multi-user collaboration with AI agents in urban design.
Enables iterative refinement and visualization of design proposals.
Documents and facilitates public engagement in early urban planning stages.
Abstract
Public participation has become increasingly important in collaborative urban design; yet, existing processes often face challenges in achieving efficient and scalable citizen engagement. To address this gap, this study explores how large language models (LLMs) can support cooperation among community members in participatory design. We introduce CoDesignAI, a collaborative urban design tool that combines multiple users, representing residents or stakeholders, with multiple AI agents, representing domain experts who provide facilitation and professional knowledge during the conceptual stage of urban design. This paper presents the system architecture and main components of the tool, illustrating how users interact with AI agents within a collaborative and iterative design workflow. Specifically, the system integrates generative AI with spatial mapping services to support street-level…
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Taxonomy
TopicsSmart Cities and Technologies · Multimodal Machine Learning Applications · 3D Modeling in Geospatial Applications
