Modeling and Optimization in Resource Sharing Systems: Application to Bike-Sharing with Unequal Demands

• DOI: 10.3390/a14020047
• Publication Date: 2021-01-30T11:22:20Z
• Authors: Xiaoting Mo; Xinglu Liu; Wai Kin (Victor) ...
• Keywords: Bike Sharing; Relocation; Shared resource

The imbalanced distribution of shared bikes in the dockless bike-sharing system (a typical example resource-sharing system), which may lead to potential customer churn and lost profit, gradually becomes a vital problem for firms their users. To resolve problem, we first formulate as Markovian queueing network with higher-demand nodes lower-demand nodes, can provide steady-state probabilities having certain number at one node. A model reduction method is then designed reduce complexity proposed model. Subsequently, adopt an operator-based relocation strategy optimize reduced network. objective optimization maximize total profit act decision-making tool operators determine optimal frequency. results reveal that it possible most gather low-demand node eventually long run under influence various arrival rates different nodes. However, decrease high-demand more sensitive unequal demands, especially when size are large. It cause significant loss operators, they should pay attention. Meanwhile, estimated values parameters related revenue cost affect differently.