| Nowadays,the airport is becoming increasingly an important engine to promote regional economic development and the power source for national development.Therefore,a sound and healthy airport aviation logistics ecosystem plays an important role in promoting the development of the airport aviation logistics industry.Judging from the literature research on aviation logistics,there are very few academic studies to analyze the development of airport aviation logistics from the perspective of the industrial ecosystem.It is unprecedented to introduce empirical research to analyze the interaction between the various agents from a multi-agent perspective.In this dissertation,the multi-agent modeling and simulation method is used for the first time to simulate the multi-agents of Tianjin Airport's aviation logistics ecosystem.The objective is to improve the development level of Tianjin Airport's aviation logistics ecosystem.Perspectives and research methods of this dissertation are highly innovative.Based on the theory of industrial ecology and complex adaptive system,the subjects in the Tianjin aviation logistics ecosystem according to different methods are classified.By comparing different classification methods based on the feasibility and effectiveness of the study,the most suitable subject classification is selected.On this basis,the various operating modes of the agents and the interaction between the agents are studied,and a multi-agent model of the Tianjin aviation logistics ecosystem is constructed.Based on the simulation experiments performed by the NetLogo,the experimental results are analyzed,and countermeasures are proposed.In order to realize the sustainable development of Tianjin Airport's aviation logistics ecosystem,and then enhance the regional competitiveness of Tianjin Airport's aviation logistics as well as accelerate the integration of Beijing,Tianjin and Hebei,this dissertation has certain guiding significance. |
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