共享单车生态系统的动态演化分析

针对共享单车生态系统中各种群在所掌握信息不对称条件下，因追求各自利益最大化所导致的各种群间的长期持续博弈现状,以共享单车生态系统中的3个主要种群为博弈主体，运用博弈理论，建立有限理性及信息不对称假设条件下，关于三方合作共生的动态演化博弈模型和复制动态方程。研究发现影响共享单车生态系统稳定演化的主要因素为合作策略的收益率，共享单车生态系统趋于合作状态的概率与合作策略的收益率成正比。

Dynamic Evolution Analysis of Bike-sharing Ecosystem

In the bike-sharing ecosystem, various groups are in the information asymmetry condition. The pursuit of interests maximization causes long-term continuous game status. The three main populations of the bike-sharing ecosystem are taken as the game subjects, and the dynamic evolutionary game model and replication dynamic equation of the three-party cooperative symbiosis under the assumption of bounded rationality and information asymmetry are established by using the game theory. It is found that the main factor affecting the stable evolution of the bike-sharing ecosystem was the rate of return of cooperation strategy. The probability of the bike-sharing ecosystem tending to the cooperative state was proportional to the rate of return of cooperation strategy.