Comparison analysis on typical historic cultural districts with AI machine learning technology – Taking Portuguese and Macao districts as examples

Uproszczony widok
dc.contributor.authorJiang Shan
dc.contributor.authorZheng Liang
dc.contributor.authorChen Yile
dc.contributor.authorZheng Jianyi
dc.date.accessioned2024-03-13T06:36:44Z
dc.date.available2024-03-13T06:36:44Z
dc.date.issued2023
dc.description.abstractWith 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.en_EN
dc.identifier.citationJiang Shan, Zheng Liang, Chen Yile, Zheng Jianyi., Comparison analysis on typical historic cultural districts with AI machine learning technology – Taking Portuguese and Macao districts as examples. W: XXIX International Seminar on Urban Form. ISUF 2022 Urban Redevelopment and Revitalisation. A Multidisciplinary Perspective. 6th June – 11th September 2022, Łódź–Kraków, Kantarek A.A. (Ed.), Hanzl M. (Ed.), Figlus T. (Ed.), Musiaka Ł. (Ed.)., Lodz University of Technology Conference Proceedings No. 2554, Lodz University of Technology Press, Lodz 2023, p. 576-587, ISBN 978-83-67934-03-9, DOI: 10.34658/9788367934039.46.
dc.identifier.doi10.34658/9788367934039.46
dc.identifier.isbn978-83-67934-03-9
dc.identifier.urihttp://hdl.handle.net/11652/5068
dc.identifier.urihttps://doi.org/10.34658/9788367934039.46
dc.language.isoen
dc.page.numberp. 576-587
dc.publisherLodz University of Technology Pressen_EN
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.relation.ispartofKantarek A.A. (Ed.), Hanzl M. (Ed.), Figlus T. (Ed.), Musiaka Ł. (Ed.)., XXIX International Seminar on Urban Form. ISUF 2022 Urban Redevelopment and Revitalisation. A Multidisciplinary Perspective. 6th June – 11th September 2022, Łódź–Kraków, Lodz University of Technology Conference Proceedings No. 2554, Lodz University of Technology Press, Lodz 2023, ISBN 978-83-67934-03-9, DOI: 10.34658/9788367934039.
dc.relation.ispartofseriesLodz University of Technology Conference Proceedings No. 2554
dc.rightsDla wszystkich w zakresie dozwolonego użytkupl_PL
dc.rightsFair use conditionen_EN
dc.rights.licenseLicencja PŁpl_PL
dc.rights.licenseLUT Licenseen_EN
dc.subjecturban morphologyen_EN
dc.subjectmachine learningen_EN
dc.subjecturban fabricen_EN
dc.subjectcomparison studyen_EN
dc.subjectMacaoen_EN
dc.subjectmorfologia miastpl_PL
dc.subjectuczenie maszynowepl_PL
dc.subjecttkanka miejskapl_PL
dc.subjectbadanie porównawczepl_PL
dc.titleComparison analysis on typical historic cultural districts with AI machine learning technology – Taking Portuguese and Macao districts as examplesen_EN
dc.typekonferencja - rozdziałpl_PL
dc.typeconference - chapteren_EN

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