At present, there are problems in the construction of the tourism public service system such as poor coordination and coordination among various departments, lack of resource integration mechanism, and low level of information of tourism public services. Therefore, by analysing the problems existing in the tourism public service system in the context of smart cities, this paper puts forward strategies to optimize the tourism public service system. First, we build a smart tourism public service system platform for overall development and optimize the tourism public service platform. Secondly, by focusing on the behaviour of tourists, we construct a big data analysis and management system for the behaviour of smart tourism tourists. Finally, for the traffic situation in the process of tourism, a smart traffic line network based on pheromone ant colony is constructed. The results of the questionnaire survey on tourists show that the optimized public service system platform has achieved great satisfaction.
Existing research mainly analyzed the causes of brand community from the perspective of consumers, and lacked enough attention to the external situational factors influencing the formation of brand community. Therefore this paper analyzes the impact of situational factors on brand community integration and the mediating effect of brand community consumption experience, builds the model of mechanism of impact of situational factors on brand community integration in theory, and reveals the forming process of brand community. Finally, the significance and limitations of the research are discussed.
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