https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Feng_et_al_2017aFeng et al 2017a - Revision history2026-04-24T19:43:07ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Feng_et_al_2017a&diff=199038&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 673055769 to Feng et al 2017a2021-02-01T22:44:55Z<p>Scipediacontent moved page <a href="/public/Draft_Content_673055769" class="mw-redirect" title="Draft Content 673055769">Draft Content 673055769</a> to <a href="/public/Feng_et_al_2017a" title="Feng et al 2017a">Feng et al 2017a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Feng_et_al_2017a&diff=199037&oldid=prevScipediacontent: Created page with " == Abstract == International audience; Bicycle sharing system has become more and more popular as it can help partly solve the problems such as CO2 over-emission and traffic..."2021-02-01T22:44:51Z<p>Created page with " == Abstract == International audience; Bicycle sharing system has become more and more popular as it can help partly solve the problems such as CO2 over-emission and traffic..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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International audience; Bicycle sharing system has become more and more popular as it can help partly solve the problems such as CO2 over-emission and traffic congestion. Some systems have been operated for several years and the analysis work is very necessary for controlling and redesigning the system in purpose of getting better performances. In this paper we analyze the bike-sharing stations by clustering algorithms in order to mine the inner-station patterns, and these clustering results are essential for the system control and redesign. In this study, we take Vélib' bike sharing system in Paris as the study case.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [https://doi.org/10.1016/j.ifacol.2017.08.2430 https://doi.org/10.1016/j.ifacol.2017.08.2430]<br />
<br />
* [https://api.elsevier.com/content/article/PII:S2405896317332974?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S2405896317332974?httpAccept=text/xml],<br />
: [https://api.elsevier.com/content/article/PII:S2405896317332974?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S2405896317332974?httpAccept=text/plain],<br />
: [http://dx.doi.org/10.1016/j.ifacol.2017.08.2430 http://dx.doi.org/10.1016/j.ifacol.2017.08.2430] under the license https://www.elsevier.com/tdm/userlicense/1.0/<br />
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* [https://hal.archives-ouvertes.fr/hal-01494490 https://hal.archives-ouvertes.fr/hal-01494490],<br />
: [https://hal.archives-ouvertes.fr/hal-01494490/document https://hal.archives-ouvertes.fr/hal-01494490/document],<br />
: [https://hal.archives-ouvertes.fr/hal-01494490/file/IFAC%202017%20-%20clustering%20velib.pdf https://hal.archives-ouvertes.fr/hal-01494490/file/IFAC%202017%20-%20clustering%20velib.pdf]<br />
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* [https://hal.archives-ouvertes.fr/hal-01494490/document https://hal.archives-ouvertes.fr/hal-01494490/document],<br />
: [https://www.sciencedirect.com/science/article/pii/S2405896317332974 https://www.sciencedirect.com/science/article/pii/S2405896317332974],<br />
: [https://hal.archives-ouvertes.fr/hal-01494490 https://hal.archives-ouvertes.fr/hal-01494490],<br />
: [https://academic.microsoft.com/#/detail/2766700587 https://academic.microsoft.com/#/detail/2766700587]</div>Scipediacontent