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DOI: 10.4230/LIPIcs.GISCIENCE.2018.38
An Analytical Framework for Understanding Urban Functionality from Human Activities (Short Paper)

Authors: Chaogui Kang and Yu Liu

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

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.
Cite as

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)

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@InProceedings{kang_et_al:LIPIcs.GISCIENCE.2018.38,
  author =	{Kang, Chaogui and Liu, Yu},
  title =	{{An Analytical Framework for Understanding Urban Functionality from Human Activities}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{38:1--38:8},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.38},
  URN =		{urn:nbn:de:0030-drops-93668},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.38},
  annote =	{Keywords: Urban functionality, Human activity, STA cuboid, Spatiotemporal distribution, Clustering}
}
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