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Stały URI dla kolekcjihttp://hdl.handle.net/11652/5022

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20232

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Teraz wyświetlane 1 - 2 z 2
  • Pozycja
    Comparison analysis on typical historic cultural districts with AI machine learning technology – Taking Portuguese and Macao districts as examples
    (Lodz University of Technology Press, 2023) Jiang Shan; Zheng Liang; Chen Yile; Zheng Jianyi
    With the rapid development of technology, artificial intelligence has gone into every field, and its development has been further expanded with machine learning as the core technology. How does this help urban analysis and urban form research? This study aims to introduce a new method for analysing and comparing urban morphological layouts using machine learning technology and to explore the possibility and potential of combining urban morphology analysis with machine learning technology. In this exploratory study, several typical Portuguese cities with historical and cultural characteristics are used as learning samples for comparison. Through the combination of urban morphology theory and machine learning, the urban morphological samples are clipped out from the Portuguese city maps, then morphological features are extracted from the samples, establishing training labels as typical Portuguese urban fabric, lastly compared the result with the typical urban areas of Macao using the YOLOv4 object detection algorithm. Through the research, it is found that Macao in the early stage is more morphologically similar to the city of Evora due to their same privilege; after the early 20th century, influence by contemporary Portuguese engineers and urban development strategy, Macao's urban morphology shows a higher degree of similarity to that of Lisbon.
  • Pozycja
    A Comparative Study on the Spatial Capacity of University Campuses in Guangdong Province
    (Lodz University of Technology Press, 2023) Guo Weihong; Ding Yaqian; Yang Guang; Liu Xiao
    In an era of stock development, the objective is to propose strategies to adapt to the future spatial renewal and transformation of university campuses in urban areas of Guangdong to resolve the contradiction between the limited campus capacity and the annually increasing number of students. In this paper, eight universities in Guangdong are selected, and their spatial patterns and capacities are compared and analysed in terms of the theoretical concepts of urban morphology, extracting the planar layout, floor area, street space, and number of students and teachers of the eight universities, and comparing them with those of some other universities in China and with the index requirements in the relevant Chinese standards and regulations. The analysis indicates that the campuses in Guangdong have reached their maximum student and instructor population, construction density, and spatial capacity. The ensuing spatial expansion of the campus should prioritize stock development and internal spatial adjustment and optimization, with the teaching function taking precedence and a broader public service area supporting the talent cultivation program. In this manner, the concept of Guangdong-specific spatial rejuvenation of university campuses is discussed.