Highlights Propose an evolutionary game model with three strategies. A real-world issue driven study to select the optimal bike-sharing sourcing strategy. Compared to self-operation and outsourcing, joint venture mode is not stable. Unique data from a specific bike-sharing company is used to validate the model.
Abstract Bike-sharing systems (BSSs) offer convenient transportation services with environmental and social benefits. However, they also bring operational complexity, with rebalancing bikes being a very challenging one. The importance and difficulty of building the reverse logistics for BSSs are evident from the data obtained from Mobike, one of the largest dockless bike-sharing platforms in China. This paper proposes an evolutionary game theoretic approach to identify the best bike-sharing sourcing strategies, including self-operation, joint venture, and outsourcing. We show that the self-operation mode is an evolutionary stable strategy to rebalance Mobike. However, if bike-sharing firms cannot achieve economies of scale and significantly reduce the variable costs of the self-operation mode, the outsourcing mode will become the optimal choice. From a long-term perspective, the joint venture mode is never an attractive strategy for the bike-sharing firms under study. Our model can select the optimal sourcing strategy to rebalance bikes in BSS to maximize profit when competition and cooperation are jointly considered.
Strategic sourcing selection for bike-sharing rebalancing: An evolutionary game approach
2021-10-19
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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