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By making adaptive adjustments to the tourism activities and tourism structure carried out in the tourist area, the natural resources of the scenic area can be protected while pursuing economies of scale. Moreover, it achieves a benign interaction between scenic spot development, planning, carrying capacity, and benefits, so that the scenic spot can develop sustainably under the condition of grasping the carrying capacity and restrictive conditions. This paper combines the set pair analysis method to evaluate the ecological tourism carrying capacity of scenic spots, so as to improve the quantitative effect of ecological tourism carrying capacity of scenic spots. In addition, this paper introduces the fuzzy analytic hierarchy process to determine the weight of the evaluation indicators and combines the set pair analysis method to establish a comprehensive evaluation model. The research results show that the evaluation method of ecotourism carrying capacity of popular scenic spots based on set pair analysis proposed in this paper has a good effect., Author(s): Xiangrong Yan (corresponding author) [1] 1. Introduction Examining the carrying capacity of tourism environment from the perspective of stakeholder theory can promote the cross-integration of different disciplines such as [...]

With the rapid development of information technology, online knowledge monetization has emerged as a potential business model for several social Q&A platforms, which brings more complex benefits and cost tradeoffs for users. However, most of the previous studies were based on free Q&A platforms, which made it difficult to explain the influencing factors of various stakeholders in the decision-making process of knowledge sharing and failed to comprehensively analyze the behavior of knowledge sharing subjects using dynamic system theory. This study establishes a tripartite evolutionary game model of knowledge consumers, knowledge providers, and knowledge payment platforms and discusses evolutionary stability strategies, evolutionary trends, and factors affecting the evolutionary path of tripartite behavior. The extensive experimental results show that knowledge payment is an important way to promote knowledge sharing. Meanwhile, the implementation of a rewards and punishment system on payment platforms will encourage knowledge providers to provide high-quality knowledge content and increase the willingness of knowledge consumers to pay, thereby facilitating the knowledge-sharing process. This paper provides the decision-making basis for the operation of the online knowledge community and proposes a new proposition to solve the conflict of interest in the process of knowledge sharing from the perspective of evolutionary theory. [ABSTRACT FROM AUTHOR]

Tea culture has special relevance in China's cultural system. It is closely related to the development of tea industry. It is also an important branch of China's traditional cultural system. Therefore, it must be paid great attention to. Especially in the context of big data, computer technology is widely used in the links of culture or information communication, and its purpose is to improve the communication effect. Therefore, the dissemination of tea culture information can be realized with the help of computer technology. From this perspective, this paper analyzes the development of computer technology in the background of big data, summarizes the necessity of using computer technology in the dissemination of tea culture information and, on this basis, considers the application strategy of computer technology in the dissemination of tea culture information from the perspective of big data, hoping to enter a more ideal pattern of tea culture information dissemination. [ABSTRACT FROM AUTHOR]

Global Navigation Satellite Systems (GNSS) tomography plays an important role in the monitoring and tracking of the tropospheric water vapor. In this study, a new approach for improving the node-based GNSS tomography is proposed, which makes a trade-off between the real observed region and the complexity of the discretization of the tomographic region. To obtain dynamically the approximate observed region, the convex hull algorithm and minimum bounding box algorithm are used at each tomographic epoch. This new approach can dynamically define the tomographic model for all types of study areas based on the GNSS data. The performance of the new approach is tested by comparing it against the common node-based GNSS tomographic approach. Test data in May 2015 are obtained from the Hong Kong GNSS network to build the tomographic models and the radiosonde data as a reference are used for validating the quality of the new approach. The experimental results show that the root-mean-square errors of the new approach, in most cases, have a 38 percent improvement and the values of standard deviation reduce to over 43 percent compared with the common approach. The results indicate that the new approach is applicable to the node-based GNSS tomography. [ABSTRACT FROM AUTHOR]