Managing Inventory in Public Bicycle Sharing System
In this paper,the authors consider the impact of the initial vehicle in-ventory on the operation performance and the spillover effect of unsatisfied demand between stations in the public bicycle sharing system.the authors take into account the random rental and return demand following a Poisson distribution,and propose a calculation method for station service loss cost based on vehicle inventory using discrete Markov chain theory.The authors design demand Poisson parameter ad-justment equations based on the spillover effect,and construct an optimal vehicle inventory model.Two numerical examples are provided to demonstrate the appli-cation of the model analysis framework and to verify the model's effectiveness.The results of the two-station example indicate that under certain conditions,the impact between stations can significantly reduce the loss cost,and reasonable demand trans-fer between stations can serve as an effective measure for operational optimization.Furthermore,the authors conduct a multi-station example analysis of the Washing-ton public bicycle sharing system to explore the impact mechanism of factors such as station rental and return demand Poisson parameters,cost coefficients,capacity,and initial vehicle inventory on the system's service loss cost.This research provides a foundation for inventory management in public bicycle systems.
Public bicyclemulti stationsinventory managementPoisson distribu-tionMarkov chain
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