Assessing the Supply Volume of Dockless Bike-Sharing Using the Time-Space Consumption Model in Ningbo, China

Optimization Model for the Supply Volume of Bike-Sharing: Case Study in Nanjing, China

“…Hua et al (2020) predicted the real-time distribution of shared bikes by K-means and random forest algorithms, which can regulate the management of bike-sharing [18]. Yi et al (2019) measured the reasonable supply volume for bike-sharing using a time-space consumption model, which only considered the carrying capacity of the road network [19]. Albiński et al (2018) analyzed a hybrid bike-sharing system and found that a suitable supply and reposition scheme could increase the demand for bike-sharing [20].…”