Simulation Study on Collaborative Innovation and Speculative Behavior of Urban Rail Transit Industry Based on Complex Network Evolutionary Game Theory
In order to explore the macro emergence phenomenon caused by the micro decision-making of speculative behavior in the process of urban rail transit industry collaborative innovation,the Complex network evolution game was used to treat all enterprises of urban rail transit industry collaborative innovation as a small world network,establish a micro Decision model for members under unconstrained conditions and governance mechanisms,and Python software was used to program and simulate the impact of micro decision-making influencing factors on the collaborative innovation network.The simulation results show that under unconstrained conditions,the relationship between the innovation benefits,investment costs,and misappropriation benefits of collaborative innovation members has a significant impact on the final selection proportion of speculative behavior.The size of the network has little impact on the final choice of speculative behavior among members,but it has a significant impact on the evolutionary time process.Under the governance mechanism,increasing punishment,regulatory probability,and reputation loss can effectively suppress speculative behavior.
collaborative innovation of urban rail transit industryevolutionary game theory on networksopportunistic behavior
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