Work

Analysis of bike sharing system by clustering: the Vélib’ case

Year: 2017

Type: article

Abstract: 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.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2017.08.2430

Authors: Yunlong Feng, Roberta Costa Affonso, Marc Zolghadri

Institution: Institut Supérieur de Mécanique de Paris

Language: English

Topic: Urban Transport and Accessibility

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: diamond

OpenAlex ID: W2766700587

FWCI: 4.101

Cites: 19

Cited by: 28

Related to: 10