Defining Computational Urban Science

Xinyue Ye, Ling Wu, Michael Lemke, Pamela Valera, Joachim Sackey

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

Uncovering the multi-dimensional interplay between computation and urban life’s spatial-social aspects has both theoretical and practical implications for urban planning and public health science. Many analytical methods have been implemented and applied to deal with high-dimensional, heterogeneous, and unstructured location-based social data drawn from urban locales. Computational urban science has four interdependent layers: human dynamics-centered, platform-based, actionoriented, and convergence-driven. As a research paradigm based on computational thinking and spatiotemporal synthesis, computational urban science can provide a needed framework for addressing many pressing urban sustainability challenges from a systematic perspective.

Original languageEnglish (US)
Title of host publicationNew Thinking in GIScience
PublisherSpringer Nature
Pages293-300
Number of pages8
ISBN (Electronic)9789811938160
ISBN (Print)9789811938153
DOIs
StatePublished - Jan 1 2022
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Earth and Planetary Sciences

Keywords

  • Community engagement
  • Computational science
  • Computational urban science
  • Convergence
  • Human dynamics
  • Urban science

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