Liu, Y;
Chen, M;
Arribas-Bel, D;
Singleton, A;
(2021)
Profiling the Dynamic Pattern of Bike-sharing Stations: a case study of Citi Bike in New York City.
In:
Proceedings of the 29th Annual GIS Research UK Conference (GISRUK).
: Online.
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Abstract
This research applies a hierarchical k-means clustering method on the TF-IDF weighted 2019 cycling transactions from the Citi Bike bike-sharing system operating in New York City, with the primary goal of investigating the spatiotemporal usage pattern of its docking points. With a particular focus on bike-sharing stations in Manhattan, we classify 504 stations into four main clusters featuring heterogeneous dynamic usages, including leisure-oriented, residentialoriented, workplace-oriented, and off-peak oriented. We interpret each cluster based on their salient characteristics and anticipate possible future directions of this work.
Type: | Proceedings paper |
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Title: | Profiling the Dynamic Pattern of Bike-sharing Stations: a case study of Citi Bike in New York City |
Event: | 29th Annual GIS Research UK Conference (GISRUK) |
Location: | Cardiff |
Dates: | 14 April 2021 - 16 April 2021 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.5281/zenodo.4665706 |
Publisher version: | http://dx.doi.org/10.5281/zenodo.4665706 |
Language: | English |
Additional information: | This article is published under a Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/legalcode) |
Keywords: | Bike-sharing, Mobility, Public Transit, Urban Dynamics, Spatiotemporal Data Mining |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography |
URI: | https://discovery.ucl.ac.uk/id/eprint/10126246 |
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