Correspondence : Optimize urban shade using digital twins of cities

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

*Corresponding author for this work

Research output: Other PublicationsOther ArticleCommunication

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 languageEnglish
Pages242
Number of pages1
Volume622
Specialist publicationNature
DOIs
Publication statusPublished - 10 Oct 2023

Bibliographical note

Publisher Copyright:
© 2023, Springer Nature Limited.

Keywords

  • Climate change
  • Computer science
  • Environmental sciences

Fingerprint

Dive into the research topics of 'Correspondence : Optimize urban shade using digital twins of cities'. Together they form a unique fingerprint.

Cite this