Generative and AI methods in architecture and urbanism: urban networks, smart mobility, and movement path planning, design, and computation [keynote] [predavanje po pozivu štampano u izvodu]
Конференцијски прилог (Објављена верзија)
,
Dragana Ćirić
Метаподаци
Приказ свих података о документуАпстракт
The talk will address one of the case studies performed as a test of possibilities of generative and AI methods application in architecture and urbanism, or more broadly in spatial engineering and sciences. The research has been situated within the areas of urban computing and informatics, urban design, and urban analysis and analytics, being part of the broader strategy of smart, intelligent, and programmable cities, particularly targeting the subcategory of urban mobility and transportation regarding all layers of complex urban systems.
In that respect, a two-stage generative design problem has been defined, firstly at the scale of the urban city-region and territory (the construction of the transportation system as a dynamic and transformable network and geometry for specific performances), and secondly focusing individual actors and their performance within the chosen and designed system (the construction of agents' movement paths, experiences, or activities in general, as bein...g determined by the defined parameters and with respect to the constructed system). Greater Paris (Grand Paris Express) has been chosen as the network and field of operation, implying the boundedness of each particular movement scenario to its domain of control and range of "legal actions" (the movement policy with regards to the spatial and relational arrangement and constraints of the designed network).
The computational set of problem-solving methods that compose the path starting from the generative problem identification and definition and ending with its solution and visualisation will be presented, including specific exercises created for each part or a phase of the decomposed methodological set. Each exercise can be considered an autonomous problem or a part of the stated problem-solving and decision-making chain, which makes them multivalent considering possible applications.
Кључне речи:
Generative Design Methods / Generative Design Problem Definition / AI Design Methods / Architecture and Urbanism / Urban Networks / Urban Systems / Urban Computation / Urban Informatics / Smart Mobility / Smart Transportation / Intelligent Mobility / Intelligent Urban Systems / Programmable Urban Systems / Programmable Urbanism / Programmable Architecture / Urban Networks Design / Movement Paths Planning, Design, and Programmability / Smart Cities / Intelligent Cities / Programmable CitiesИзвор:
The 8th International USERN Congress and Prize Awarding Festival, November 8th-10th, 2023, Yerevan, Armenia, 2023, 53-53Издавач:
- Universal Scientific Education and Research Network (USERN)
Напомена:
- Invitation by: Tommaso Dorigo (USERN President) and Nima Razaei (USERN Founder)
Колекције
Институција/група
Arhitektonski fakultetTY - CONF AU - Ćirić, Dragana PY - 2023 UR - https://raf.arh.bg.ac.rs/handle/123456789/2334 AB - The talk will address one of the case studies performed as a test of possibilities of generative and AI methods application in architecture and urbanism, or more broadly in spatial engineering and sciences. The research has been situated within the areas of urban computing and informatics, urban design, and urban analysis and analytics, being part of the broader strategy of smart, intelligent, and programmable cities, particularly targeting the subcategory of urban mobility and transportation regarding all layers of complex urban systems. In that respect, a two-stage generative design problem has been defined, firstly at the scale of the urban city-region and territory (the construction of the transportation system as a dynamic and transformable network and geometry for specific performances), and secondly focusing individual actors and their performance within the chosen and designed system (the construction of agents' movement paths, experiences, or activities in general, as being determined by the defined parameters and with respect to the constructed system). Greater Paris (Grand Paris Express) has been chosen as the network and field of operation, implying the boundedness of each particular movement scenario to its domain of control and range of "legal actions" (the movement policy with regards to the spatial and relational arrangement and constraints of the designed network). The computational set of problem-solving methods that compose the path starting from the generative problem identification and definition and ending with its solution and visualisation will be presented, including specific exercises created for each part or a phase of the decomposed methodological set. Each exercise can be considered an autonomous problem or a part of the stated problem-solving and decision-making chain, which makes them multivalent considering possible applications. PB - Universal Scientific Education and Research Network (USERN) C3 - The 8th International USERN Congress and Prize Awarding Festival, November 8th-10th, 2023, Yerevan, Armenia T1 - Generative and AI methods in architecture and urbanism: urban networks, smart mobility, and movement path planning, design, and computation [keynote] [predavanje po pozivu štampano u izvodu] SP - 53 EP - 53 UR - https://hdl.handle.net/21.15107/rcub_raf_2334 ER -
@conference{ author = "Ćirić, Dragana", year = "2023", abstract = "The talk will address one of the case studies performed as a test of possibilities of generative and AI methods application in architecture and urbanism, or more broadly in spatial engineering and sciences. The research has been situated within the areas of urban computing and informatics, urban design, and urban analysis and analytics, being part of the broader strategy of smart, intelligent, and programmable cities, particularly targeting the subcategory of urban mobility and transportation regarding all layers of complex urban systems. In that respect, a two-stage generative design problem has been defined, firstly at the scale of the urban city-region and territory (the construction of the transportation system as a dynamic and transformable network and geometry for specific performances), and secondly focusing individual actors and their performance within the chosen and designed system (the construction of agents' movement paths, experiences, or activities in general, as being determined by the defined parameters and with respect to the constructed system). Greater Paris (Grand Paris Express) has been chosen as the network and field of operation, implying the boundedness of each particular movement scenario to its domain of control and range of "legal actions" (the movement policy with regards to the spatial and relational arrangement and constraints of the designed network). The computational set of problem-solving methods that compose the path starting from the generative problem identification and definition and ending with its solution and visualisation will be presented, including specific exercises created for each part or a phase of the decomposed methodological set. Each exercise can be considered an autonomous problem or a part of the stated problem-solving and decision-making chain, which makes them multivalent considering possible applications.", publisher = "Universal Scientific Education and Research Network (USERN)", journal = "The 8th International USERN Congress and Prize Awarding Festival, November 8th-10th, 2023, Yerevan, Armenia", title = "Generative and AI methods in architecture and urbanism: urban networks, smart mobility, and movement path planning, design, and computation [keynote] [predavanje po pozivu štampano u izvodu]", pages = "53-53", url = "https://hdl.handle.net/21.15107/rcub_raf_2334" }
Ćirić, D.. (2023). Generative and AI methods in architecture and urbanism: urban networks, smart mobility, and movement path planning, design, and computation [keynote] [predavanje po pozivu štampano u izvodu]. in The 8th International USERN Congress and Prize Awarding Festival, November 8th-10th, 2023, Yerevan, Armenia Universal Scientific Education and Research Network (USERN)., 53-53. https://hdl.handle.net/21.15107/rcub_raf_2334
Ćirić D. Generative and AI methods in architecture and urbanism: urban networks, smart mobility, and movement path planning, design, and computation [keynote] [predavanje po pozivu štampano u izvodu]. in The 8th International USERN Congress and Prize Awarding Festival, November 8th-10th, 2023, Yerevan, Armenia. 2023;:53-53. https://hdl.handle.net/21.15107/rcub_raf_2334 .
Ćirić, Dragana, "Generative and AI methods in architecture and urbanism: urban networks, smart mobility, and movement path planning, design, and computation [keynote] [predavanje po pozivu štampano u izvodu]" in The 8th International USERN Congress and Prize Awarding Festival, November 8th-10th, 2023, Yerevan, Armenia (2023):53-53, https://hdl.handle.net/21.15107/rcub_raf_2334 .
Related items
Showing items related by title, author, creator and subject.
-
The Science of Networks: Grand Paris
Ćirić, Dragana (Belgrade : STRAND - Sustainable Urban Society Association, 2023) -
Anachronies (Unbuilt): Townhouse Reconstruction [STRAND 2020]
Ćirić, Dragana (Belgrade : STRAND - Sustainable Urban Society Association, 2020) -
Architecture-Instrument: The Architecture-Machine Origins and Frameworks of Machinic Line of Thinking in Architecture
Ćirić, Dragana (Belgrade : University of Belgrade - Faculty of Architecture, 2020)