Correspondence : Optimize urban shade using digital twins of cities

Bin CHEN; Chen LIN; Peng GONG; Jiafu AN

doi:10.1038/d41586-023-03189-x

Correspondence : Optimize urban shade using digital twins of cities

Bin CHEN^*, Chen LIN, Peng GONG, Jiafu AN

^*Corresponding author for this work

Lingnan University

Research output: Other Publications › Other Article › Communication

3 Citations (Scopus)

Abstract

Shade is crucial in cities that are subject to increasingly intense heat (V. K. Turner et al. Nature 619, 694–697; 2023). We suggest that digital twins of cities could help in planning responses to mitigate heat risk — for example, by modelling various types of urban shade and pinpointing the populations and locations that are most likely to be affected.

Original language	English
Pages	242
Number of pages	1
Volume	622
Specialist publication	Nature
DOIs	https://doi.org/10.1038/d41586-023-03189-x
Publication status	Published - 10 Oct 2023

Bibliographical note

Publisher Copyright:
© 2023, Springer Nature Limited.

Keywords

Climate change
Computer science
Environmental sciences

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/d41586-023-03189-x

Cite this

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N2 - Shade is crucial in cities that are subject to increasingly intense heat (V. K. Turner et al. Nature 619, 694–697; 2023). We suggest that digital twins of cities could help in planning responses to mitigate heat risk — for example, by modelling various types of urban shade and pinpointing the populations and locations that are most likely to be affected.

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KW - Computer science

KW - Environmental sciences

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Correspondence : Optimize urban shade using digital twins of cities

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

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