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

11 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.

UN SDGs

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

SDG 13 Climate Action

Keywords

Climate change
Computer science
Environmental sciences

Access to Document

10.1038/d41586-023-03189-x

Cite this

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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.",

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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.

AB - 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.

KW - Climate change

KW - Computer science

KW - Environmental sciences

UR - https://www.scopus.com/pages/publications/85173655835

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DO - 10.1038/d41586-023-03189-x

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JF - Nature

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Correspondence : Optimize urban shade using digital twins of cities

Abstract

Bibliographical note

UN SDGs

Keywords

Access to Document

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