Urban Informatics· 2026Q1
An advanced generative framework for low-carbon urban morphology optimization
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- Q1SCImago
- 2026year
Short summary
A new PC-GAN model rapidly generates 3D urban forms optimized for low-carbon targets, demonstrating distinct pathways for different morphologies in Guangzhou.
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Key points
- Introduces PC-GAN, a generative framework for optimizing urban morphology towards low-carbon goals.
- The model integrates Pix2pix with a two-step GAN inspired by CycleGAN to generate high-resolution 3D urban forms.
- Evaluated on Guangzhou's LCZ types, PC-GAN demonstrates distinct low-carbon optimization pathways for different urban morphologies.
- The framework enables rapid generation of diverse design alternatives meeting specific energy-reduction targets (10% stepwise reductions).
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract Optimizing urban morphology is pivotal for lowering energy consumption and carbon emissions while supporting sustainable development. However, traditional methods often rely on inefficient post-evaluation, hindering direct, goal-oriented design feedback. This study thus presents the PC-GAN model, an automated block design tool that integrates Pix2pix with a two-step GAN mechanism inspired by CycleGAN, generating high-resolution 3D urban forms under specific climatic and energy-reduction targets. Focusing on Guangzhou’s six main LCZ types (LCZ1, LCZ2, LCZ4, LCZ5, LCZ6, LCZ8) and iterating 10% stepwise reductions in baseline energy use, the model illuminates distinctive low-carbon optimization pathways across various urban morphologies. In doing so, PC-GAN offers rapid generation of diverse design alternatives while fulfilling low-energy requirements. This new framework not only improves planning efficiency and flexibility but also directs future research toward more adaptive, data-driven methodologies for low-carbon urban morphology optimization.
The authors' abstract, as published at the source. Urban Informatics, 2026 · DOI ↗
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Field: Building and Construction
Building and ConstructionEngineering