Virtual reality technology has been widely applied in the tourism industry, but the literature examining the relationship between the virtual tourism experience and cultural dissemination behavior is limited. This present study examines how a virtual reality tourism experience could stimulate tourists’ cultural dissemination behavior intention. It does so by developing a moderated mediation model to explore how virtual reality tourism uses digital technology to improve tourists’ experiential value, enhances their pride, and then affects their cultural dissemination behavior intentions. Results derived from a sample of 359 respondents show that VR experiential value can stimulate tourists’ cultural dissemination behavior and that the link between VR experiential value and tourists’ cultural dissemination behavior is mediated by pride. Furthermore, the cultural value of individual collectivism moderates the relationship between VR experiential value and pride. This study extends the theoretical understanding of virtual reality tourism from the emotional perspective and also has practical implications for VR design and destination marketing.

Industrial transformation has been regarded as an important measure to promote traditional village revitalization. Research on the spatial pattern and influence mechanism of industrial transformation in traditional villages is urgently needed. In this context, this study takes the 211 national traditional villages in Fujian Province of China as research objects and uses GIS spatial analysis and geographical detectors to analyze the spatial pattern and influence mechanism of industrial transformation in traditional villages. The results show that: (1) the scale of traditional village industry presents the characteristics of wavy growth. High- and medium-density cluster areas were identified. (2) Traditional villages can be categorized into three types, not transformed, to be transformed and transformed villages. These three stages of transformation have different features of industry development and different dominant industries. (3) The core factors affecting the industrial transformation of traditional villages show obvious differences at different transformation stages and spatial differences in coastal and inland areas. Therefore, policies and measures should be customized to local conditions to improve the development quality of traditional villages and promote the industrial transformation and upgrading of traditional villages. This study improves the research on the transformation and development mechanism of traditional village industry from the perspective of industrial revitalization in theory and provides experience and models as reference for the revitalization of traditional village industry in practice.

Diaspora tourism has become a significant market niche under globalization, but diaspora tourism to China has been less studied. This paper explores the relationships between nostalgia, involvement, and behavioral intention in diaspora tourism of the Chinese diaspora. By investigating 303 overseas Chinese, we use quantitative methodologies to measure the nostalgia of the Chinese diaspora and identify three segments of Chinese diasporic tourists based on their nostalgia: extremely nostalgic, nostalgic, and moderately nostalgic. Demographic features of each segment and attitude toward home-return travel are depicted. The findings suggest that the level of nostalgia has influences on the perception of home-return travel for the diaspora. For the strongly nostalgic groups, home-return travel is an important way to build and express their identity. For the moderately nostalgic group, home-return travel is regarded as a pleasure-driven activity. This study extends the theoretical understanding of diaspora nostalgia and also has practical implications for the marketing and construction of destinations.

Extracting road from high resolution remote sensing (HRRS) images is an economic and effective way to acquire road information, which has become an important research topic and has a wide range of applications. In this paper, we present a novel method for road extraction from HRRS images. Multi-kernel learning is first utilized to integrate the spectral, texture, and linear features of images to classify the images into road and non-road groups. A precise extraction method for road elements is then designed by building road shaped indexes to automatically filter out the interference of non-road noises. A series of morphological operations are also carried out to smooth and repair the structure and shape of the road element. Finally, based on the prior knowledge and topological features of the road, a set of penalty factors and a penalty function are constructed to connect road elements to form a complete road network. Experiments are carried out with different sensors, different resolutions, and different scenes to verify the theoretical analysis. Quantitative results prove that the proposed method can optimize the weights of different features, eliminate non-road noises, effectively group road elements, and greatly improve the accuracy of road recognition.

The industrial transformation of hot spring villages is an important means to promote the sustainable development of the rural economy and achieve common prosperity. This study aims to explore the models of hot spring industrial transformation and reveal the influencing mechanisms in hot spring villages. Based on the theory of rural industrial transformation, an evaluation index system was constructed to measure rural industrial development by using the attribute data of enterprises in hot spring villages. Taking 19 typical hot spring villages in Fujian Province of China as examples, this study explores the process, models and influencing factors of the industrial transformation of hot spring villages from a sustainable perspective. Research results show that (1) the industrial transformation of the hot spring village includes the initial development stage and the rapid development stage, with the leading industries being transformed into service industries. (2) The industrial transformation of the hot spring village presents a gradual transformation model from hot spring aquaculture to hot spring processing and hot spring services, which not only reflects the transformation process of the hot spring village from the development of its primary industry to that of its secondary and tertiary industries, but also reveals the transformation trend of specialization and the high-end productive service industry and the convenient and high-quality transformation process of the living service industry. (3) The influencing factors of the industrial transformation of the hot spring village mainly include location conditions, the demand of the rural hot spring tourism market, government funding policy support and the choices of local villagers. This study not only enriches the theory of industrial transformation in resource-based rural areas, but also provides decision-making references for the sustainable development of hot spring villages in practice.