Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	ecaadesigradi2019_414
id	ecaadesigradi2019_414
authors	Costa Lima, Mariana, Cardoso, Daniel and Freitas, Clarissa
year	2019
title	Informal Settlements and City Information Modeling - Producing data to inform land use regulation in Fortaleza-Brazil
doi	https://doi.org/10.52842/conf.ecaade.2019.3.323
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 323-332
summary	In recent years, several advances have occurred concerning the legitimacy of precarious informal settlements in Brazil. In spite of this progress in the legal dimension, little has been made concerning standards to ensure urban space quality. The difficulties of reversing this exclusionary logic are due to several complex factors. A factor less discussed, especially in the national literature, but that has begun to draw the attention of scholars, is the invisibility of the informal city. This research assumes that it is necessary to regulate the urban form of precarious informal settlements, in order to prevent the deterioration of urban environmental quality. We highlight the importance to compile data about their urban form and their built environment, in order to contribute to a reality-based regulatory policy for these settlements, and this is the primary purpose of this study. To address this question, we propose a method of measuring the settlements' urban form, based on the City Information Modeling's theorical and practical framework, which is applied to a case study in Fortaleza, Brazil.
keywords	Informal settlements; City Information Modeling; Urban regulation; ZEIS Bom Jardim
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	caadria2019_449
id	caadria2019_449
authors	Lin, Yuqiong, Yao, Jiawei, Huang, Chenyu and Yuan, Philip F.
year	2019
title	The Future of Environmental Performance Architectural Design Based on Human-Computer Interaction - Prediction Generation Based on Physical Wind Tunnel and Neural Network Algorithms
doi	https://doi.org/10.52842/conf.caadria.2019.2.633
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 633-642
summary	As the medium of the environment, a building's environment performance-based generative design cannot be separated from intelligent data processing. Sustainable building design should seek an optimized form of environmental performance through a complete set of intelligent induction, autonomous analysis and feedback systems. This paper analyzed the trends in architectural design development in the era of algorithms and data and the status quo of building generative design based on environmental performance, as well as highlighting the importance of physical experiments. Furthermore, a design method for self-generating environmental performance of urban high-rise buildings by applying artificial intelligence neural network algorithms to a customized physical wind tunnel is proposed, which mainly includes a morphology parameter control and environmental data acquisition system, code translation of environmental evaluation rules and architecture of a neural network algorithm model. The design-oriented intelligent prediction can be generated directly from the target environmental requirements to the architectural forms.
keywords	Physical wind tunnel; neural network algorithms; dynamic model; environmental performance; building morphology self-generation
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	cf2019_025
id	cf2019_025
authors	Lin, Yuqiong; Chenyu Huang ,Yuqiong Lin and Philip F. Yuan
year	2019
title	High-rise Building Group Morphology Generation Approach based on Wind Environmental Performance
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 185
summary	In the urbanization process, high-rise is favored and popularized? while results to the high-density urban space which aggravated the deterioration of urban wind environment. Using quantifiable environmental factors to control the building, is promoting a more meaningful group formation of the sustainable high-rise buildings. Thus, taking wind performance into account in high-rise design infancy is essential. According to the achievement of CAADRIA2018 “SELF-FORM-FINDING WIND TUNNEL TO ENVIRONMENTAL-PERFORMANCE URBAN AND BUILDING DESIGN” workshop, a preliminary set related to the environmental performance urban morphology generation system and method was constructed. In this study, various of high-rise building forms that might be conducive to urban ventilation were selected, such as “hollow-out”, “twisting”, “façade retracting” and “liftup”, to design the Dynamic Model System with multi-dimensional motion.
keywords	High-rise, group morphology, wind tunnel, dynamic models, environmental performance
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	ijac201917101
id	ijac201917101
authors	Makki, Mohammed; Milad Showkatbakhsh, Aiman Tabony and Michael Weinstock
year	2019
title	Evolutionary algorithms for generating urban morphology: Variations and multiple objectives
source	International Journal of Architectural Computing vol. 17 - no. 1, 5-35
summary	Morphological variation of urban tissues, which evolve through the optimisation of multiple conflicting objectives, benefit significantly from the application of robust metaheuristic search processes that utilise search and optimisation mechanisms for design problems that have no clear single optimal solution, as well as a solution search space that is too large for a ‘brute-force’ manual approach. As such, and within the context of the experiments presented within this article, the rapidly changing environmental, climatic and demographic global conditions necessitates the utilisation of stochastic search processes for generating design solutions that optimise for multiple conflicting objectives by means of controlled and directed morphological variation within the urban fabric.
keywords	Architecture, computation, evolution, biology, urban, variation, morphology, genetic algorithm, computer aided design
series	journal
email
last changed	2019/08/07 14:04

_id	caadria2021_053
id	caadria2021_053
authors	Rhee, Jinmo and Veloso, Pedro
year	2021
title	Generative Design of Urban Fabrics Using Deep Learning
doi	https://doi.org/10.52842/conf.caadria.2021.1.031
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 31-40
summary	This paper describes the Urban Structure Synthesizer (USS), a research prototype based on deep learning that generates diagrams of morphologically consistent urban fabrics from context-rich urban datasets. This work is part of a larger research on computational analysis of the relationship between urban context and morphology. USS relies on a data collection method that extracts GIS data and converts it to diagrams with context information (Rhee et al., 2019). The resulting dataset with context-rich diagrams is used to train a Wasserstein GAN (WGAN) model, which learns how to synthesize novel urban fabric diagrams with the morphological and contextual qualities present in the dataset. The model is also trained with a random vector in the input, which is later used to enable parametric control and variation for the urban fabric diagram. Finally, the resulting diagrams are translated to 3D geometric entities using computer vision techniques and geometric modeling. The diagrams generated by USS suggest that a learning-based method can be an alternative to methods that rely on experts to build rule sets or parametric models to grasp the morphological qualities of the urban fabric.
keywords	Deep Learning; Urban Fabric; Generative Design; Artificial Intelligence; Urban Morphology
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_550
id	ecaadesigradi2019_550
authors	Rhee, Jinmo, Cardoso Llach, Daniel and Krishnamurti, Ramesh
year	2019
title	Context-rich Urban Analysis Using Machine Learning - A case study in Pittsburgh, PA
doi	https://doi.org/10.52842/conf.ecaade.2019.3.343
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 343-352
summary	This paper reports on the analytical potential of machine learning methods for urban analysis. It documents a new method for data-driven urban analysis based on diagrammatic images describing each building in a city in relation to its immediate urban context. By statistically analyzing architectural and contextual features in this new dataset, the method can identify clusters of similar urban conditions and produce a detailed picture of a city's morphological structure. Remapping the clusters from data to 2D space, our method enables a new kind of urban plan that displays gradients of urban similarity. Taking Pittsburgh as a case study we demonstrate this method, and propose "morphological types" as a new category of urban analysis describing a given city's specific set of distinct morphological conditions. The paper concludes with a discussion of the implications of this method and its limitations, as well as its potentials for architecture, urban studies, and computation.
keywords	Urban Morphology; Machine Learning; Architectural Contexts; Urban Analysis; GIS
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	caadria2019_259
id	caadria2019_259
authors	Soltani, Sahar, Gu, Ning, Ochoa Paniagua, Jorge, Sivam, Alpana and McGinley, Tim
year	2019
title	A Computational Approach to Measuring Social Impact of Urban Density through Mixed Methods Using Spatial Analysis
doi	https://doi.org/10.52842/conf.caadria.2019.1.321
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 321-330
summary	While there is a growing interest in using spatial network analysis methods such as Space Syntax to explore the socio-spatial aspects of the built form, some scholars refer to its main limitation of missing the measurements of buildings' fabric and density. Furthermore, new approaches that attempt to address these shortcomings, such as Urban Network Analysis toolbox, do not provide as comprehensive explorations as what Space Syntax does for the street network. Therefore, this paper proposes that a mixed-method applying both the tools in a complementary way enables a deeper understanding of the socio-spatial design metrics addressing density. Employing both tools on two cases of low and high-density neighbourhoods, the results demonstrate that the combination of these tools can minimise the shortcomings of each method individually, and lead to a more comprehensive understanding of socio-spatial design factors in relation with density.
keywords	Urban Network Analysis ; Social Impact; Space Syntax ; UNA Toolbox; Urban Density
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	cf2019_024
id	cf2019_024
authors	Tuncer, Bige; Francisco Benita, and Francesco Scandola
year	2019
title	Data-driven Thinking for Urban Spaces, Immediate Environment, and Body Responses
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 172-184
summary	This paper presents a methodology to implement data-driven thinking in the context of urban design. We conducted a 7-day workshop with international students from landscape design and architecture backgrounds, with the objective of designing an experimental setup to measure real-time urban spaces, immediate environment, and body responses. The goal of the workshop was to expose participants to data-driven thinking through experimental design, multi-sensor data collection, data analysis, visualization, and insight generation. We made use of mixed methods, including validated pre- and postquestionnaires, and content analyses of the visualizations and results generated by the participants. The evidence suggest that the workshop resulted in an increase in participants’ knowledge about measuring, visualizing and understanding data of the surrounding built environment.
keywords	Data-driven Thinking; Urban sensing; Body responses; Pedagogy; Comfort; Big Data; Design Support
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	ijac201917206
id	ijac201917206
authors	Ackerman, Aidan; Jonathan Cave, Chien-Yu Lin and Kyle Stillwell
year	2019
title	Computational modeling for climate change: Simulating and visualizing a resilient landscape architecture design approach
source	International Journal of Architectural Computing vol. 17 - no. 2, 125-147
summary	Coastlines are changing, wildfires are raging, cities are getting hotter, and spatial designers are charged with the task of designing to mitigate these unknowns. This research examines computational digital workflows to understand and alleviate the impacts of climate change on urban landscapes. The methodology includes two separate simulation and visualization workflows. The first workflow uses an animated particle fluid simulator in combination with geographic information systems data, Photoshop software, and three-dimensional modeling and animation software to simulate erosion and sedimentation patterns, coastal inundation, and sea level rise. The second workflow integrates building information modeling data, computational fluid dynamics simulators, and parameters from EnergyPlus and Landsat to produce typologies and strategies for mitigating urban heat island effects. The effectiveness of these workflows is demonstrated by inserting design prototypes into modeled environments to visualize their success or failure. The result of these efforts is a suite of workflows which have the potential to vastly improve the efficacy with which architects and landscape architects use existing data to address the urgency of climate change.
keywords	Modeling, simulation, environment, ecosystem, landscape, climate change, sea level rise, urban heat island
series	journal
email
last changed	2019/08/07 14:04

_id	ecaadesigradi2019_318
id	ecaadesigradi2019_318
authors	Al Bondakji, Louna, Lammich, Anne-Liese and Werner, Liss C.
year	2019
title	ViBe (Virtual Berlin) - Immersive Interactive 3D Urban Data Visualization - Immersive interactive 3D urban data visualization
doi	https://doi.org/10.52842/conf.ecaade.2019.3.083
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 83-90
summary	The project investigates the possibility of visualizing open source data in a 3D interactive virtual environment. We propose a new tool, 'ViBe'. We programmed 'ViBe' using Unity for its compatibility with HTC VIVE glasses for virtual reality (VR). ViBe offers an abstract visualization of open source data in a 3D interactive environment. The ViBe environment entails three main topics a) inhabitants, b) environmental factors, and c) land-use; acting as representatives of parameters for cities and urban design. Berlin serves as a case study. The data sets used are divided according to Berlin's twelve administrative districts. The user immerses into the virtual environment where they can choose, using the HTC Vive controllers, which district (or Berlin as a whole) they want information for and which topics they want to be visualized, and they can also teleport back and forth between the different districts. The goal of this project is to represent different urban parameters an abstract simulation where we correlate the corresponding data sets. By experiencing the city through visualized data, ViBe aims to provide the user with a clearer perspective onto the city and the relationship between its urban parameters. ViBe is designed for adults and kids, urban planners, politicians and real estate developers alike.
keywords	3D-Visualization; open source data; immersive virtual reality; interactive ; Unity
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	cf2019_048
id	cf2019_048
authors	Argota Sanchez-Vaquerizo, Javier and Daniel Cardoso Llach
year	2019
title	The Social Life of Small Urban Spaces 2.0 Three Experiments in Computational Urban Studies
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 430
summary	This paper introduces a novel framework for urban analysis that leverages computational techniques, along with established urban research methods, to study how people use urban public space. Through three case studies in different urban locations in Europe and the US, it demonstrates how recent machine learning and computer vision techniques may assist us in producing unprecedently detailed portraits of the relative influence of urban and environmental variables on people’s use of public space. The paper further discusses the potential of this framework to enable empirically-enriched forms of urban and social analysis with applications in urban planning, design, research, and policy.
keywords	Data Analytics, Urban Design, Machine Learning, Artificial Intelligence, Big Data, Space Syntax
series	CAAD Futures
email
last changed	2019/07/29 14:18

_id	caadria2019_074
id	caadria2019_074
authors	Bai, Nan and Wang, Lu
year	2019
title	Village Heritage Conservation in the New Data Age - Rural Information Modelling in the Context of Rural Vitalization in China
doi	https://doi.org/10.52842/conf.caadria.2019.2.041
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 41-50
summary	Rural Vitalization being a nation-wide policy for China in the following five years, it is becoming even more important to preserve and conserve the village heritage, especially with the global background of Information and Communication Technology (ICT) involvement. This research reviews on the existing and potential methods which has been or could be used to better understand the rural built environment in the new data age, and proposes an interactive message platform named Rural Information Modelling (RIM) which could collect, storage, analyze and display the various message concerning the village heritage, especially the morphological, cognitive and behavioural information. With the help of RIM, stakeholders can better interact with the rural environment, and better negotiate with each other, leading to a more objective and rational construction process, which could express the willingness of both the outside architects, urban planners and visitors, and the in situ villagers and government.
keywords	rural vitalization; heritage conservation; ICT; Rural Information Modelling
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2019_388
id	caadria2019_388
authors	Beattie, Hamish, Brown, Daniel and Kindon, Sara
year	2019
title	Functional Fiction to Collective Action - Values-Based Participatory Urban Design Gaming
doi	https://doi.org/10.52842/conf.caadria.2019.1.737
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 737-746
summary	This paper discusses the methodology and results of the Maslow's Palace workshops project, which engages with current debates surrounding the democratisation of digital urban design technology and stakeholder decision making, through the implementation of a speculative oriented approach to serious gaming. The research explores how serious games might be used to help marginalised communities consider past, future and present community experiences, reconcile dissimilar assumptions, generate social capital building and design responses and prime participants for further long term design engagement processes. Empirical material for this research was gathered from a range of case study workshops prepared with three landfill-based communities and external partners throughout 2017. Results show the approach helped participants develop shared norms, values and understandings of sensitive topics and develop ideas for future action through "collective tinkering".
keywords	Participatory design; urban design; social capital; serious games; slum upgrading
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2019_459
id	caadria2019_459
authors	Behmanesh, Hossein and Brown, AndrÃ© G.P.
year	2019
title	Classification and Review of Software Applications in the Context of Urban Design Processes
doi	https://doi.org/10.52842/conf.caadria.2019.2.211
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 211-220
summary	We have seen increasing expectations from our cities: as we aim to enable them to become smarter, more efficient and more sustainable. Having these goals makes the urban designing process increasingly complex. Undertaking contemporary urban design and analysis requires a rounded and inclusive approach. In the discussion relating to the smart city there has been attention to infrastructure technology solutions. But ways of estimating the success of more comprehensive urban design interventions is also extremely important. In response to these needs, digital urban design simulation and analysis software packages have been developed to help urban designers model and evaluate their designs before they take shape in the real world. We analyse, and reflect on the current aids available, classifying the urban design software packages which were used in the body of knowledge. In addition, more influential urban design software packages have been reviewed to figure out in which stages of the urban design process, they have applied. This review also helpful for software developer to understand which software packages more useful and which ones need to be developed in future.
keywords	Smart city; Urban Design Process; software application; classification
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2023_39
id	sigradi2023_39
authors	Borges, Marina, Karantino, Lucas and Gorges, Diego
year	2023
title	Walkability: Digital Parametric Process for Analyzing and Evaluating Walkability Criteria in Peripheral Central Regions of Belo Horizonte
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 397–408
summary	According to one of the Sustainable Development Goals (UN, 2018), it is important for cities to be inclusive, safe, resilient, and sustainable. Therefore, it is necessary to value pedestrians and consequently active mobility, giving priority to the concepts of the Transportation Oriented Development (TOD) methodology. Although the Master Plan (BELO HORIZONTE, 2019) proposes that areas located in regional centralities are enhancing active mobility, can residents actually benefit from these resources at a walkable distance to access basic services? Thus, the aim of this research is to utilize digital technologies to visualize, analyze, and assess pedestrians' access conditions to commerce and basic services, identifying areas lacking infrastructure. The goal is for the model to serve as a reference for the development of public policies. To achieve this, metadata was used for parametric modeling to study walkability in the peripheral region of the city of Belo Horizonte.
keywords	Walkability, Urban Data Analysis, Urban Design, Parametric Urbanism, Algorithmic Logic
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	ecaadesigradi2019_381
id	ecaadesigradi2019_381
authors	Buš, Peter
year	2019
title	Large-scale Prototyping Utilising Technologies and Participation - On-demand and Crowd-driven Urban Scenarios
doi	https://doi.org/10.52842/conf.ecaade.2019.2.847
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 847-854
summary	The paper theorises and elaborates the idea of crowd-driven assemblies for flexible and adaptive constructions utilising automatic technologies and participatory activities within the context of twenty-first century cities. As economic and technological movements and shifts in society and cultures are present and ongoing, the building technology needs to incorporate human inputs following the aspects of customisation to build adaptive architectural and urban scenarios based on immediate decisions made according to local conditions or specific spatial demands. In particular, the paper focuses on large-scale prototyping for urban applications along with on-site interactions between humans and automatic building technologies to create on-demand spatial scenarios. It discusses the current precedents in research and practice and speculates future directions to be taken in creation, development or customisation of contemporary and future cities based on participatory and crowd-driven building activities. The main aim of this theoretical overview is to offer a more comprehensive understanding of the relations between technology and humans in the context of reactive and responsive built environments.
keywords	large-scale urban prototyping; on-site participation; human-machine interaction; intelligent cities; responsive cities; urban autopoiesis
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	caadria2019_396
id	caadria2019_396
authors	Cao, Rui, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2019
title	Quantifying Visual Environment by Semantic Segmentation Using Deep Learning - A Prototype for Sky View Factor
doi	https://doi.org/10.52842/conf.caadria.2019.2.623
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 623-632
summary	Sky view factor (SVF) is the ratio of radiation received by a planar surface from the sky to that received from the entire hemispheric radiating environment, in the past 20 years, it was more applied to urban-climatic areas such as urban air temperature analysis. With the urbanization and the development of cities, SVF has been paid more and more attention on as the important parameter in urban construction and city planning area because of increasing building coverage ratio to promote urban forms and help creating a more comfortable and sustainable urban residential building environment to citizens. Therefore, efficient, low cost, high precision, easy to operate, rapid building-wide SVF estimation method is necessary. In the field of image processing, semantic segmentation based on deep learning have attracted considerable research attention. This study presents a new method to estimate the SVF of residential environment by constructing a deep learning network for segmenting the sky areas from 360-degree camera images. As the result of this research, an easy-to-operate estimation system for SVF based on high efficiency sky label mask images database was developed.
keywords	Visual environment; Sky view factor; Semantic segmentation; Deep learning; Landscape simulation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_146
id	ecaadesigradi2019_146
authors	Castro e Costa, Eduardo, Verniz, Debora, Varasteh, Siavash, Miller, Marc and Duarte, José
year	2019
title	Implementing the Santa Marta Urban Grammar - a pedagogical tool for design computing in architecture
doi	https://doi.org/10.52842/conf.ecaade.2019.2.349
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 349-358
summary	We present a tool intended to enable non-expert users to apply and manipulate a shape grammar, SMUG, which encodes the urban design of informal settlements such as favelas. Such tool, the Interpreter, was developed considering that students would be its main users, and therefore we consider this grammar implementation to potentially be a multipurpose pedagogical tool since it supports conveying knowledge about urban design, shape grammars and parametric modeling using Grasshopper. This paper focuses on the development of the Interpreter and discusses the results of its use in a design studio, which can better inform subsequent iteration as well as other courses and schools.
keywords	Shape grammars; Urban design; Design studio; Parametric modelling;
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	ecaadesigradi2019_204
id	ecaadesigradi2019_204
authors	Castro, Rúben and Beir?o, José Nuno
year	2019
title	Shape Grammars as a support instrument for heritage safeguard planning - From a vernacular language to a contemporary materialization
doi	https://doi.org/10.52842/conf.ecaade.2019.2.377
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 377-384
summary	In this project we used the concept of shape grammars as a tool for understanding the vernacular heritage in the Moorish village of Aljezur in the South of Portugal, and subsequently use it to guide the planning rehabilitation and growth of the village. First, we inferred a grammar for describing the existent vernacular heritage, and based on it developed two other grammars suitable for the rehabilitation of pre-existences and the construction of new houses involving features that can harmoniously mingle with the heritage surroundings. This paper supports the use of shape grammars for the development of heritage safeguard strategies in historical urban agglomerates.
keywords	Shape Grammars; parametric; architectural heritage; safeguard; planning
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	caadria2019_354
id	caadria2019_354
authors	Cheddadi, Mohammed Aqil, Hotta, Kensuke and Ikeda, Yasushi
year	2019
title	An Urban Form-Finding Parametric Model Based on the Study of Spontaneous Urban Tissues
doi	https://doi.org/10.52842/conf.caadria.2019.2.181
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 181-190
summary	This research paper investigates the peculiarities of unplanned urban fabrics known for developing in a spontaneous way. By studying the characteristics of their urban form, a set of rules, functions, and objectives used for an experimental urban form-finding model are explored. Based on these features, the development of a parametric model seeks to grasp certain characteristics of spontaneous urban tissues in old Islamic cities and incorporate them into an experimental social housing proposal. By the use of genetic algorithms, the model aims to offer better adaptability and more diversification which will be to while still keeping a degree of preservation to the distinctive aspects that define those settlements. The use of a genetic solver is expected to be a problem-solving method that can simulate and offer a wide range of objective-based spatial that are considerably adaptive to particular urban contexts. In this study, we discuss the defining aspects and constituents of the urban form of these settings before interpreting them into algorithmic components to be incorporated in a parametric model.
keywords	Spontaneous Urban tissues; Urban form-finding; Genetic algorithms; Islamic cities; Multiple-objective optimization
series	CAADRIA
email
last changed	2022/06/07 07:55

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