Historical villages bear historical, cultural, architectural, aesthetic, and landscape values, but they are facing a series of dangers and problems during the process of urbanization. Digital survey for traditional villages plays a crucial role in the preservation, planning, and development of this kind of heritage. The introduction of the terrestrial laser scanning technique is essential for heritage surveying, mapping, and modeling due to its advantages of noncontact measurement, accurate sensing of complex objects, and efficient operation. In recent years, TLS and related processing software (“SCENE”) have been widely presented as effective techniques for dealing with the management and protection of historical buildings in Fenghuang village. Thus, this paper highlights the process of using laser scanning to obtain architectural data, process point clouds, and compare the characteristics of historical buildings in Fenghuang village. The cloud-to-cloud registration technique is applied to build point clouds. As a result of model construction, some architectural patterns are summarized in this village, such as the spatial sequence of ancestral halls, the dominant position of memorial halls, and the character of building decorations and roof slopes. Furthermore, a BIM model is also explained to fulfill the statistical function for architectural components. In the future, more research can be fulfilled based on the built point cloud model, which will be beneficial for the development of the whole village.

The visual aesthetics of villages are remarkably affected by the exterior quality of traditional residences, influencing the impression and assessment of local culture. A proper scientific assessment of exterior quality can protect traditional cultures and improve the development of villages. This research was conducted in a village consisting of 115 residences (Mengjinglai village, which is on the border between China and Myanmar). The backpropagation (BP) neural network model with genetic algorithm (GA) was applied to evaluate the quality of the dwellings. All the evaluation values of the dwellings were defined by scores. Meanwhile, the score of each residence was affected by three main factors: architectural spatial elements, architectural construction elements, and historical and cultural elements. The results show that the village’s dwellings are well preserved and clearly express the traditional Dai style. Moreover, the GA–BP approach is more suitable than the traditional BP method for the assessment of the exterior quality. The quantitative machine learning model would be useful for other aspects of the assessment of similar villages in the future.

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As a representative historical railway in Southeast Asia, Yunnan–Vietnam Railway (YVR) is of historical, technological, social-cultural, landscape, architectural, and heritage values. However, some of its remains have been closed and destroyed, waiting for further protection and developing solutions. YVR is the research object in this paper for the process of measuring tourists’ satisfaction. This paper highlights the development of an indicator system for measuring the satisfaction degree of the YVR heritage tourism, with the help of the analytical hierarchy process and the expert grading method. The basic demographic information of tourists collected from the questionnaires is systemized, and the satisfaction degree is evaluated from five indicators based on previous research: natural landscape, cultural character, transportation and facilities, safety and services, as well as the sustainable development of the region. The analysis results gained by SPSS show a high satisfaction value on the safety and service and regional sustainable development. Namely, the tourists give higher ratings on the regional cooperation, personal safety, service staff, hospitality of locals, and the technology of railway, while the aspects of environmental quality, enjoyment of exploring, accessibility by public transports, the comfort of train experience, and related facilities (accommodation/restaurants/shopping) received lower ratings, which indicates the critical points for the future tourism and urban planning related to this historical railway.

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