Abstract
We apply a novel clustering technique to London's bikesharing network, deriving distinctive behavioral patterns and assessing community interactions and spatio-temporal dynamics. The analyses reveal self-contained, interconnected and hybrid clusters that mimic London's physical structure. Exploring changes over time, we find geographically isolated and specialized communities to be relatively consistent, while the remaining system exhibits volatility. We increase understanding of the collective behavior of the bikesharing users.
Original language | English |
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Title of host publication | UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers |
Publisher | Association for Computing Machinery |
Pages | 1015-1023 |
Number of pages | 9 |
ISBN (Electronic) | 9781450359665 |
DOIs | |
Publication status | Published - 8 Oct 2018 |
Event | 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 - Singapore, Singapore Duration: 8 Oct 2018 → 12 Oct 2018 |
Publication series
Name | UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers |
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Conference
Conference | 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 |
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Country/Territory | Singapore |
City | Singapore |
Period | 8/10/18 → 12/10/18 |
Bibliographical note
Funding Information:The authors gratefully acknowledge funding from the UK Engineering and Physical Sciences Research Council, the EPSRC Centre for Doctoral Training in Urban Science (EPSRC grant no. EP/L016400/1); The Alan Turing Institute (EPSRC grant no. EP/N510129/1).
Publisher Copyright:
© 2018 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
Keywords
- Bikesharing
- Clustering
- Community detection
- Spatio-temporal analysis
- Urban mobility
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Information Systems