License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GISCIENCE.2018.46
URN: urn:nbn:de:0030-drops-93746
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9374/
McKenzie, Grant
Docked vs. Dockless Bike-sharing: Contrasting Spatiotemporal Patterns (Short Paper)
Abstract
U.S. urban centers are currently experiencing explosive growth in commercial dockless bike-sharing services. Tens of thousands of bikes have shown up across the country in recent months providing limited time for municipal governments to set regulations or assess their impact on government-funded dock-based bike-sharing programs. Washington, D.C. offers an unprecedented opportunity to examine the activity patterns of both docked and dockless bike-sharing services given the history of bike-sharing in the city and the recent availability of dockless bike data. This work presents an exploratory step in understanding how dockless bike-sharing services are being used within a city and the ways in which the activity patterns differ from traditional dock station-based programs.
BibTeX - Entry
@InProceedings{mckenzie:LIPIcs:2018:9374,
author = {Grant McKenzie},
title = {{Docked vs. Dockless Bike-sharing: Contrasting Spatiotemporal Patterns (Short Paper)}},
booktitle = {10th International Conference on Geographic Information Science (GIScience 2018)},
pages = {46:1--46:7},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-083-5},
ISSN = {1868-8969},
year = {2018},
volume = {114},
editor = {Stephan Winter and Amy Griffin and Monika Sester},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2018/9374},
URN = {urn:nbn:de:0030-drops-93746},
doi = {10.4230/LIPIcs.GISCIENCE.2018.46},
annote = {Keywords: bike-share, dockless, bicycle, transportation, spatiotemporal patterns}
}
Keywords: |
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bike-share, dockless, bicycle, transportation, spatiotemporal patterns |
Collection: |
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10th International Conference on Geographic Information Science (GIScience 2018) |
Issue Date: |
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2018 |
Date of publication: |
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02.08.2018 |