Using Deep Learning Approaches to Quantify Landscape Preference of the Chinese Grand Canal: An Empirical Case Study of the Yangzhou Ancient Canal

A deep learning approach reveals that the fusion of the Yangzhou Ancient Canal and classical gardens creates a highly preferred landscape, characterized by 'Canal and Watercraft Remains.' Tourists' preferences are reflected in photographic content and element composition patterns, with dense preferences observed in northern sections. This study demonstrates an efficient and scalable method for evaluating landscape preferences along the Chinese Grand Canal, offering valuable insights for strategic planning and conservation efforts.

Li, Y., & Qiu, B. (2024). Using Deep Learning Approaches to Quantify Landscape Preference of the Chinese Grand Canal: An Empirical Case Study of the Yangzhou Ancient Canal. Sustainability, 16(9), 3602. https://doi.org/10.3390/su16093602