Search Results (2)

During the development and evolution of settlements, space morphology created unique local cultural features and played an important role in guiding rural planning in the context of new-type urban development. The in situ characteristics of the space morphology of the ancient historical and cultural towns along the Grand Canal of China reflect the prints of the local culture and history over thousands of years and integrate modern life and the cultural memories of the citizens there. Using Yangliuqing Town, a famous historical and cultural town, as an example, this study quantitatively analyzes the in situ characteristics of the space morphology. It applies the UAV 3D model, POI data, actual site measurements, and other data to establish detailed models of the streets and lanes, quantifies the in situ characteristics of the space morphology of the streets and lanes in terms of space organizational characteristics and VGA manifestation, analyzes the influencing factors of the characteristics of in situ space morphology, and proposes guidelines for renewing ancient towns according to the in situ characteristics of space morphology. The research results indicate that ① multidimensional factors influencing the historical development of the research area have been clarified for the three aspects of its status as a canal transport hub, canal settlement industries, and traditional residential courtyards in ancient towns; ② the in situ space morphology of the streets in Yangliuqing Town is reflected in three aspects such as the core guiding and control of historical and cultural resources, the inherent influence of space element layout, and the attractiveness of street space; ③ it extracts the guidelines for the renewal of the ancient towns in terms of the space morphology strategy, the environmental element strategy, the interface attribute strategy, and the business attribute strategy. The research methods and conclusions boast great significance for clarifying the characteristics of the space morphology of the ancient towns along the Grand Canal and improving the practice of preservation there. Full article

Chinese New Year prints constitute a significant component of the country’s cultural heritage and folk art. Yangliuqing New Year prints are the most important and widely circulated of all the different kinds of New Year prints. Due to a variety of factors including societal change, industrial structure change, and economic development, New Year prints, which were deeply rooted in agricultural society, have been adversely impacted, and have even reached the brink of disappearance. With the protection and effort from the government and researchers, New Year prints can finally be preserved. However, the underlying problems remain, such as receiving little attention, a singular product form, and being unable to keep up with the times, especially among the younger generation. In this paper, the researchers first processed Yangliuqing New Year prints through the GANs model. Then, the image is segmented by binarization and color extraction of images from the Pop art dataset by the K-Means algorithm, followed by colorizing the binarized and segmented image. Finally, usable high-quality Pop art style Yangliuqing New Year prints are generated. The generated images are used in the development of cultural and creative products. Questionnaires were then distributed based on the empirical research scale. The results of this study are as follows: 1. The method proposed in this study can generate high-quality Pop art style New Year prints. 2 Using Pop art style New Year print images in the design of cultural and creative products is popular among the younger generation, and they possess a great propensity to purchase. This study solves the problems encountered by the current cultural heritage of New Year prints, and broadens the artistic expression forms and product categories, and provides research ideas for the cultural heritage of the same type that is facing similar problems. In the future, researchers will continue to explore the incorporation of AI technology in New Year prints to stimulate the vitality of traditional cultural heritage. Full article