Generative Adversarial Networks for Climate-Sensitive Urban Morphology: An Integration of Pix2Pix and the Cycle Generative Adversarial Network

Generative Adversarial Networks for Climate-Sensitive Urban Morphology: An Integration of Pix2Pix and the Cycle Generative Adversarial Network

Urban heat island (UHI) effects pose significant challenges to sustainable urban development, necessitating innovative modeling techniques to optimize urban morphology for thermal resilience. This study integrates the Pix2Pix and CycleGAN architectures to generate high-fidelity urban morphology mode...

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Bibliographic Details
Main Authors: Mo Wang, Ziheng Xiong, Jiayu Zhao, Shiqi Zhou, Yuankai Wang, Rana Muhammad Adnan Ikram, Lie Wang, Soon Keat Tan
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Land
Subjects:
urban morphology generation
generative adversarial networks
local climate zones
AI-driven urban planning
climate adaptability
Online Access:https://www.mdpi.com/2073-445X/14/3/578
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