Computational Urban Science publishes rigorously peer-reviewed and high-quality original articles, reviews, method papers, and opinion papers that focus on the intersection of computational sciences and urban sciences in building intelligent and resilient cities. It is a fully OA journal and the APCs are fully covered by Jiangxi Normal University. The journal aims to introduce the latest results in urban computing and its applications, examine both the spatial and social dimension of urban networks and built environment, promote the cooperation between computational disciplines and the urban domain sciences, and build a bridge for scientific communication.

This journal will focus on the development of research frameworks, theories, methods and good case studies of tackling key urban research challenges in the mobile and big data era. Sample topics include but not limited to:

1.Agent-based models of social interactions
2.Data sharing and dissemination in urban computing research
3.Large-scale Social activities in physical and virtual spaces
4.Multi-scale urban modeling
5.Privacy issues in mobile and big data and possible solutions
6.Space-time data models for urban computing
7.Spatiotemporal social network analysis
8.Trajectory data mining, analysis, and visualization
9.Visualization and computation of big health data

  • Provides unique focus on the intersection of computational science and urban science
  • Delivers a fast review for authors, with a first decision on average within 4 weeks
  • Disseminates content globally through journal website and social media platforms
  • APC fully covered/sponsored by Jiangxi Normal University

Journal information

  • Hui Lin,
  • Xinyue Ye
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This journal has 27 open access articles

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Abstracted and indexed in
  2. CNKI
  4. DOAJ
  5. Dimensions
  6. EBSCO Discovery Service
  7. Google Scholar
  8. Naver
  9. OCLC WorldCat Discovery Service
  10. Portico
  11. ProQuest-ExLibris Primo
  12. ProQuest-ExLibris Summon
  13. TD Net Discovery Service
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