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An Analytical Framework for Understanding Urban Functionality from Human Activities (Short Paper)

Authors Chaogui Kang , Yu Liu

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Author Details

Chaogui Kang
  • School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan, China
Yu Liu
  • Institute of Remote Sensing and Geographical Information Systems, Peking University, 5 Yiheyuan Road, Beijing, China

Funding

  • Kang, Chaogui: National Key Research and Development Program of China (No. 2017YFB0503604), National Natural Science Foundation of China (No. 41601484), China Postdoctoral Science Foundation (No. 2015M580666 and 2017T100569), Fundamental Research Funds of the Central Universities of China (No. 2042016kf0055) and Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing of Wuhan University, China (No. 15S01).
  • Liu, Yu: National Key Research and Development Program of China (No. 2017YFB0503604) and National Natural Science Foundation of China (No. 41625003).

Cite AsGet BibTex

Chaogui Kang and Yu Liu. An Analytical Framework for Understanding Urban Functionality from Human Activities (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 38:1-38:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.38

Abstract

The intertwined relationship between urban functionality and human activity has been widely recognized and quantified with the assistance of big geospatial data. In specific, urban land uses as an important facet of urban structure can be identified from spatiotemporal patterns of aggregate human activities. In this article, we propose a space, time and activity cuboid based analytical framework for clustering urban spaces into different categories of urban functionality based on the variation of activity intensity (T-fiber), mixture (A-fiber) and interaction (I- and O-fiber). The ability of the proposed framework is empirically evaluated by three case studies.

Subject Classification

ACM Subject Classification
  • General and reference → General literature
Keywords
  • Urban functionality
  • Human activity
  • STA cuboid
  • Spatiotemporal distribution
  • Clustering

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References

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