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Community structures, interactions and dynamics in London’s bicycle sharing network
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Munoz-Mendez, Fernando, Klemmer, Konstantin, Han, Ke and Jarvis, Stephen A. (2018) Community structures, interactions and dynamics in London’s bicycle sharing network. In: 7th International Workshop on Pervasive Urban Applications, UbiComp '18 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery (ACM)., Singapore, 08-12 Oct 2018. Published in: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers ISBN 9781450359665. doi:10.1145/3267305.3274156
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Official URL: https://doi.org/10.1145/3267305.3274156
Abstract
Bikesharing schemes are transportation systems that not only provide an efficient mode of transportation in congested urban areas, but also improve last-mile connectivity with public transportation and local accessibility. Bikesharing schemes around the globe generate detailed trip data sets with spatial and temporal dimensions, which, with proper mining and analysis, reveal valuable information on urban mobility patterns. In this paper, we study the London bicycle sharing dataset to explore community structures. Using a novel clustering technique, we derive distinctive behavioural patterns and assess 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, especially during and around peak commuting times. By increasing our understanding of the collective behaviour of the bikesharing users, this analysis supports policy appraisal, operational decision-making and motivates improvements in infrastructure design and management.
| Item Type: | Conference Item (Paper) | |||||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | |||||||||
| Divisions: | Faculty of Science > Computer Science | |||||||||
| Library of Congress Subject Headings (LCSH): | Bicycle commuting, Urban transportation -- Planning, Urban transportation -- Management, Spatial analysis (Statistics), Cluster analysis, Collective behavior | |||||||||
| Journal or Publication Title: | Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers | |||||||||
| Publisher: | ACM | |||||||||
| ISBN: | 9781450359665 | |||||||||
| Official Date: | 10 August 2018 | |||||||||
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| DOI: | 10.1145/3267305.3274156 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Publisher Statement: | © 2018 Copyright is held by the owner/author(s). Publication rights licensed to ACM. 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, http://dx.doi.org/10.1145/3267305.3274156 | |||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||
| Description: | 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. |
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| Conference Paper Type: | Paper | |||||||||
| Title of Event: | 7th International Workshop on Pervasive Urban Applications, UbiComp '18 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery (ACM). | |||||||||
| Type of Event: | Workshop | |||||||||
| Location of Event: | Singapore | |||||||||
| Date(s) of Event: | 08-12 Oct 2018 | |||||||||
| Open Access Version: |
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