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Urban design and pollution using AI: Implications for urban development in China

Year: 2024

Type: article

Abstract: and CO. This mutual cause suggests interrelated impressive processes and shared bases. The results of the causality analysis suggest the existence of complex interactions, where high levels of pollution can predict changes in others. AI in urban design play vital role for identifying the most effective strategies for reducing pollution and helping to build more sustainable and functional urban environments in China.

Source: Heliyon

DOI: 10.1016/j.heliyon.2024.e37735

Authors: Xinyue Zheng, Zhenya Ma, Zhao Yuang

Institutions: The University of Sydney, Zhejiang University

Language: English

Topic: Environmental Quality and Pollution

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Climate action

Open Access status: gold

Estimated APC paid: $2,100