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The potential of computational methods for the categorization of architectural objects on the example of media architecture

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Języki publikacji
EN
Abstrakty
EN
The paper presents an example of the categorization of architectural objects and assessment of the characteristics of urban space, based on the analysis of specific features of architectural objects and urban landscape. The conducted analysis refers to media architecture and is presented in the complex context of the development of media solutions. The field of influence of IT on architecture is also stressed, both on the architect’s work and the image of the city, including with regard to smart city strategies. A gradual simplification approach was proposed for a targeted analysis. Data on media architecture were collected and, on their basis, significant features of each architectural object and its surrounding space were identified. The qualification of representative categories of media solutions was made based on the function of the object and the role of the media architecture object in the visual structure of the space, indicating the method of determining the degree of legibility of the space for a given category. The proposed process of categorization is a starting point in the discussion about the need and opportunities to use computational methods and databases supporting the assessment of the architectural typologies and characteristics of space, in reference to urban development.
Rocznik
Strony
20--31
Opis fizyczny
Bibliogr 28 poz., rys., tab.
Twórcy
  • Gdańsk University of Technology, Faculty of Architecture
  • Gdańsk University of Technology, Faculty of Mechanical Engineering and Ship Technology
Bibliografia
  • [1] Życzkowska K 2016 Media architecture in commercial spaces Gdansk Univeristy of Technology
  • [2] Życzkowska K 2016 PhD dissertation – Creating intelligent commercial spaces through innovative solutions in the field of media architecture Gdansk Univeristy of Technology
  • [3] Manovich L 2002 The language of new media MIT Press, Cambridge
  • [4] Webster F 2006 Theories of the Information Society Third edition Routledge, Abingdon-on-Thames
  • [5] Castells M 2010 The Information Age: Economy, Society and Culture. Volume 1: The Rise of the Network Society. 2nd ed. Wiley Blackwell, Oxford
  • [6] Baudrillard J 2017 Consumer Society: Myths and Structures SAGE Publications Ltd, California
  • [7] Tschumi B 1994 Event-cities MIT Press, Cambridge
  • [8] Landry C 2008 Creative City, A Toolkit for Urban Innovators Routledge, Abingdon-on-Thames
  • [9] Pop S Smart Cities: New (In)Visible Cities In: Pop S, Stalder U, Tscherteu G, Struppek M 2012 Urban Media Cultures Avedition GmbH, Ludwigsburg, Germany
  • [10] Życzkowska K 2019 Uniqueness or uniformity – studies of media architecture IOP Conference Series: Materials Science and Engineering 471 pp. 1–10
  • [11] Chepesiuk R 2009 Missing the Dark Health Effects of Light Pollution. Environmental Health Perspectives 117 (1) pp. 20–27
  • [12] Meier J, Hasenöhrl U, Krause K and Pottharst M The lighting master plan as an instrument for municipalities? A Critical Assessment of possibilities and limitations In: Meier J, Hasenöhrl U, Krause K and Pottharst M Urban lighting, light pollution and society 2014 Routledge, Abingdon-on-Thames pp. 153–170
  • [13] Zielinska-Dabkowska K M Urban lighting masterplan – origins, definitions, methodologies and collaborations In: Davoudian N 2018 Urban Lighting for People: Evidence-Based Lighting Design for the Built Environment RIBA Publishing, London pp. 18–41
  • [14] Cudzik J and Radziszewski K 2019 Parametric design in architectural education World Transactions on Engineering and Technology Education 17 pp. 448–453
  • [15] Yujie L, Zhilei W, Ruidong C and Yongkui L 2017 Building Information Modeling (BIM) for green buildings: A critical review and future directions Automation in Construction 83 pp. 134–148
  • [16] Życzkowska K and Szakajło K 2019 Architectural education and digital tools: the challenges and opportunities World Transactions on Engineering and Technology Education 17 pp. 326–331.
  • [17] Myeong S, Park J and Lee M 2022 Research Models and Methodologies on the Smart City: A Systematic Literature Review Sustainability 14 (3) p. 1687
  • [18] Goerlandt F and Pulsifer K 2022 An exploratory investigation of public perceptions towards autonomous urban ferries Saf. Sci. 145 p. 105496
  • [19] Życzkowski M 2020 Sailing Route Planning Method Considering Various User Categories Polish Marit. Res. 27 (3) pp. 149–158
  • [20] Jiang D 2020 The construction of smart city information system based on the Internet of Things and cloud computing Comput. Commun. 150 pp. 158–166
  • [21] Yao F and Wang Y 2020 Towards resilient and smart cities: A real-time urban analytical and geo-visual system for social media streaming data Sustainable Cities and Society 63
  • [22] Haidong L, Hongming C, Han Y, Yan S, Zhuming B and Lihong J 2019 A short-term energy prediction system based on edge computing for smart city Future Generation Computer Systems 101 pp. 444–457
  • [23] Hiperkonwergencja 2022 https://hiperkonwergencja.pl/
  • [24] Życzkowska K Media architecture for post-modern society – new forms of participation In: Proceedings of the 5th International Multidisciplinary Scientific Conference on SOCIAL Sciences & Arts 2018 SGEM 5 pp. 351–358
  • [25] Lynch K 1960 The image of the city The MIT Press, Cambridge
  • [26] Younas M 2019 Research challenges of big data Serv. Oriented Comput. Appl. 13 (2) pp. 105–107
  • [27] Top 10 Programming Languages Best for Big Data Projects 2022 https://www.analyticsinsight.net/top-10-programming-languages-best-for-big-data-projects/
  • [28] Herda G and McNabb R 2022 Python for Smarter Cities: Comparison of Python libraries for static and interactive visualisations of large vector data
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5de792e0-9e93-4ff5-aa0a-f46ceb01adc1
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