Assignment of Shared Bike Stations Based on Network Sciences

The impact of the COVID-19 pandemic on the behaviour of bike sharing users

“…In this study, we plan to use novel complex networks predicated on the creation of a feasible transport system and journeys data from bike sharing journeys to analyse the transition of usage patterns for bike sharing in Washington D.C. during the unparalleled COVID-19 pandemic. Complex networks are used in the literature to analyse the user behaviour of the bike-sharing systems and fit the aim of this study well ( Wu & Kim, 2020 ; Ferreira et al, 2016 ). The strength of the network nodes indicates the frequency of the bike sharing usage and the path length in the network illustrates how different users in the bike sharing network are connected.…”

Mining taxi trajectories for most suitable stations of sharing bikes to ease traffic congestion

“…Although sharing bike service is an emerging industry, we can study traffic conditions with historical taxi trajectory data [5,6] to find congested roads relatively [7,8]. We apply the results to sharing bike service to determine the most suitable places to deploy stations [9][10][11]. Our goal is to guide people to choose sharing bikes instead of traditional public transportation or private cars during rush hours.…”