CC BY 4.0Feng, JiaChen, Xiaojian2024-01-222024-01-222023978-908-28191-9-9https://hdl.handle.net/20.500.14235/1238Book of proceedings: 35th AESOP Annual Congress Integrated planning in a world of turbulence, Łódź, 11-15th July, 2023Traditional villages in China are undergoing spatial renewal and reorganization, resulting in the emergence of compound spaces comprising modern and historical buildings. As integral parts of these traditional villages, these compound spaces have a significant impact on the perception preferences of the historical spaces within them. This study employs deep learning techniques to analyze photos and videos containing compound spaces and extract the visual occupation ratio and visual change ratio of modern and historic buildings. The specific focus is to explore the influence of the visual occupation ratio and visual change ratio on spatial perception preferences, aiming to analyze and understand the delicate balance between sustainable development and heritage preservation in traditional villages. The paper examines the external representation of architectural elements within compound spaces, including the potential increase in perception preferences by reducing modern buildings and the influence of trends in modern and historical buildings on perception preferences. The findings from this research provide valuable insights for addressing spatial dissonance amidst rapid development in traditional villages in China. Keywords: Perception, Preference, Visual Occupation Ratio, Compound Spaces, Traditional VillagesEnglishopenaccessConference object820-842