Evolvement patterns of usage in a medium-sized bike-sharing system during the COVID-19 pandemic. [PDF]
Qin Y, Karimi HA.
europepmc +1 more source
A Demand-Centric Repositioning Strategy for Bike-Sharing Systems. [PDF]
Lin YC.
europepmc +1 more source
Bike sharing usage prediction with deep learning: a survey. [PDF]
Jiang W.
europepmc +1 more source
The Issue of Subway Commuters’ Departure Time Choices under the Influence of Bike-Sharing
Bike-sharing has a significant impact on commuters’ rational planning of their travel times, which can lead to an advance or delay in the peak passenger flow of the subway system during the morning peak.
Jie Yu, Jie Wang, Qiang Wen, Tao Chen
doaj +1 more source
Using Geopandas for locating virtual stations in a free-floating bike sharing system. [PDF]
Rojas C +3 more
europepmc +1 more source
The impact of the COVID-19 pandemic on the behaviour of bike sharing users. [PDF]
Chen Y, Sun X, Deveci M, Coffman D.
europepmc +1 more source
Changes in public bike usage after the COVID-19 outbreak: A survey of Seoul public bike sharing users. [PDF]
Park J, Namkung OS, Ko J.
europepmc +1 more source
Bike Sharing Atlas: Visual Analysis of Bike-Sharing Networks
Michael Oppermann +2 more
openaire +1 more source
Impacts of COVID-19 on bike-sharing usages in Seoul, South Korea. [PDF]
Jiao J, Lee HK, Choi SJ.
europepmc +1 more source
Discovering spatiotemporal usage patterns of a bike-sharing system by type of pass: a case study from Seoul. [PDF]
Kim K.
europepmc +1 more source

