Urban systems and the role of big data

Yoshiki Yamagata, Perry P.J. Yang, Soowon Chang, Michael B. Tobey, Robert B. Binder, Pieter J. Fourie, Peraphan Jittrapirom, Takuro Kobashi, Takahiro Yoshida, Jelena Aleksejeva

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Citations (Scopus)

Abstract

Smart cities are rapidly developing in the world. Their sustainability needs to be achieved based on transformative urban systems design from system of systems perspective. Especially, to conduct evidence-based assessments, our new approach will use big data and analytics tools to support urban planner's decisions. The use of data science, analytics, and visualization will play important role to codesign urban systems with local stakeholders. This chapter outlines performance-based urban systems design. The modeling involves the use of metrics through analytical tools to evaluate sustainability of urban systems. Both qualitative (e.g., comfort level) and quantitative (e.g., CO2 emission) properties are modeled focusing on factors such as performance, experiential, and people's flow. Performance metrics are used as tools for evaluating current and predict potential future of different urban forms to support decision-makings.

Original languageEnglish
Title of host publicationUrban Systems Design
Subtitle of host publicationCreating Sustainable Smart Cities in the Internet of Things Era
PublisherElsevier
Pages23-58
Number of pages36
ISBN (Electronic)9780128160558
ISBN (Print)9780128162934
DOIs
Publication statusPublished - 2020 Jan 1

Keywords

  • Data analytics platform
  • Performance modeling
  • Smart city
  • Sustainability
  • Urban systems

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