A Synthesized Urban Science in the Context of Big Data and Cyberinfrastructure

Xinyue Ye, Wenwen Li, Qunying Huang

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations


In today’s gradually connected world of virtual, perceived, and real spaces, data-driven urban computing and analytics have become increasingly essential for the understanding of coupled human and socioeconomic dynamics. The complexities of such systems and their connectivity at various spatial, temporal, and semantic scales have posed daunting challenges to urban researchers. Due to the rapid progress of information and communications technology, the emergence of big data available from various sources has presented significant opportunities for urban studies. Rigorous analysis of such data depicting complex socioeconomic events is likely to open up a rich context for advancing urban sciences and policy interventions. Interdisciplinary approaches combining with rich spatial data are urgently needed to ignite transformative geospatial innovation and discovery for enabling effective and timely solutions to challenging problems. This book chapter highlights the challenges and opportunities of a synthesized urban science based on ever-increasing amounts of large-scale diverse data and computing power.

Original languageEnglish (US)
Title of host publicationAdvances in Geographic Information Science
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages14
StatePublished - 2018
Externally publishedYes

Publication series

NameAdvances in Geographic Information Science
ISSN (Print)1867-2434
ISSN (Electronic)1867-2442

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Civil and Structural Engineering
  • Geography, Planning and Development


  • Big data
  • Cyberinfrastructure
  • Human dynamics
  • Urban science


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