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As a link in rural landscapes, greenways have been given a new mission in their design and construction. The greenway design based on embedded neural networks not only emphasizes its natural value as an ecological corridor but also pays attention to its multifunctionality as a community activity center. By simulating and predicting the usage of greenways, dynamic evaluation and adjustment of their sustainability can be achieved. This study proposes to use intelligent greenways as a carrier, analyze market demand, tourist preferences, and local cultural resources through embedded neural networks, and innovate the design of characteristic tourism products. For example, dynamically adjusting tourism routes and activity projects based on seasonal changes, festival celebrations, and other factors to create immersive tourism experiences with local characteristics. Dynamically adjusting tourism routes adopts high-performance computing platforms and advanced data analysis technologies to ensure real-time and accurate data processing and analysis. Build customizable algorithm models that can be quickly adjusted and optimized based on changes in market demand and tourist preferences. At the same time, utilizing intelligent recommendation systems to provide personalized tourism planning for tourists enhances the attractiveness and competitiveness of rural tourism. In terms of rural environmental beautification and improvement, this study advocates using greenways as the main line, combined with the application of embedded neural networks in plant configuration, landscape design, and environmental art.

Livelihood is fundamental for rural families. A good livelihood model can help to increase the happiness of peasants and promote local harmonious development. During the process of urbanization, peasant livelihood is changing constantly. In rural tourism areas, tourism is a strong force for the development of urbanization, and the research of peasant livelihood is especially important. Based on the basic sustainable livelihood theoretical framework, this paper classifies the peasants in Jixian (a county in Tianjin) tourism areas into four types, including working household, tourism household, part-time tourism household, and part-time non-tourism household, to conduct a comprehensive analysis on livelihood capital, livelihood strategy and livelihood outcome by integrating the questionnaire, interview, observation statistical analysis, GIS and data analysis. We draw the following conclusions. First, during the development of rural tourism, there are hierarchy differences in the livelihood capital among different types of peasant households, and the disparity is increasing. The tourism household shows evidence of the best livelihood capital followed by the part-time tourism household, the part-time non-tourism household, and finally the employee household respectively. Second, the livelihood strategy of Jixian households shows a diversity which is dominated by tourism livelihood. However, because the tourism household and part-time tourism households show outstanding advantage in their livelihood strategy that will be constantly imitated by other peasants, which will lead to an increasing professionalization and specialization in rural tourism. Third, according to the comparative analysis, tourism household and part-time tourism household show a livelihood outcome which is wealthier, provides leisure, and of high-quality living standards. Therefore, the livelihood outcome can be improved obviously by following the professional tourism livelihood model through relying on the local tourism resources rather than following the external diverse livelihood model.

Rural tourism plays an important role in rural revitalization. Revealing the driving force of rural tourism development is the key to realizing the sustainable development of rural tourism and the hot spot of tourism and rural revitalization research. Using principal component analysis (PCA) and grey relational analysis (GRA), this paper takes 33 national key rural tourism villages in Qinghai as the research object to explore the driving forces and influencing factors of the sustainable development of rural tourism in Qinghai Tibet Plateau. The results show that: (1) The driving forces for the sustainable development of rural tourism in Qinghai Province mainly include rural service quality, ecological environment, and economy. (2) Rural service quality is driven by water, electricity, heating, and communication facilities, the ecological environment is driven by the improvement of village appearance and environment, and economic driving is driven by the per capita disposable income of towns and villages. (3) In the future, we must continue to strengthen rural infrastructure building, enhance the appearance and environment of villages, and raise the per capita disposable income level of rural cities. We will focus on developing villagers’ skills, improving lodging and catering operation standards, increasing the number of tourist reception points and urbanization rate, and raising villagers’ awareness of environmental and ecological protection, water conservation, grassland conservation, and other issues. We hope that this will promote the sustainable development of rural tourism in Qinghai Province.

Rural landscape is the resource base to develop rural tourism. Under the background of tourism development, the “rurality” of rural landscape is threatened by the reverse change of rural landscape patterns, which goes against the sustainable development of rural tourism. From the perspective of landscape ecology, the paper makes a deep analysis of negative influence of the development of rural tourism nowadays on rural landscape ecology and explores how to actively and effectively protect rural landscape so as to promote the sustainable and healthy development of rural landscape tourism. Moreover, methods and measures aiming to facilitate the rational development of rural landscape are put forward.