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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Hits 1 to 20 of 623

_id caadria2024_186
id caadria2024_186
authors Huang, Jingfei and Tu, Han
year 2024
title Inconsistent Affective Reaction: Sentiment of Perception and Opinion in Urban Environments
doi https://doi.org/10.52842/conf.caadria.2024.2.395
source Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 395–404
summary The ascension of social media platforms has transformed our understanding of urban environments, giving rise to nuanced variations in sentiment reaction embedded within human perception and opinion, and challenging existing multidimensional sentiment analysis approaches in urban studies. This study presents novel methodologies for identifying and elucidating sentiment inconsistency, constructing a dataset encompassing 140,750 Baidu and Tencent Street view images to measure perceptions, and 984,024 Weibo social media text posts to measure opinions. A reaction index is developed, integrating object detection and natural language processing techniques to classify sentiment in Beijing Second Ring for 2016 and 2022. Classified sentiment reaction is analysed and visualized using regression analysis, image segmentation, and word frequency based on land-use distribution to discern underlying factors. The perception affective reaction trend map reveals a shift toward more evenly distributed positive sentiment, while the opinion affective reaction trend map shows more extreme changes. Our mismatch map indicates significant disparities between the sentiments of human perception and opinion of urban areas over the years. Changes in sentiment reactions have significant relationships with elements such as dense buildings and pedestrian presence. Our inconsistent maps present perception and opinion sentiments before and after the pandemic and offer potential explanations and directions for environmental management, in formulating strategies for urban renewal.
keywords Urban Sentiment, Affective Reaction, Social Media, Machine Learning, Urban Data, Image Segmentation.
series CAADRIA
email
last changed 2024/11/17 22:05

_id caadria2020_354
id caadria2020_354
authors Tomarchio, Ludovica, He, Peijun, Herthogs, Pieter and Tuncer, Bige
year 2020
title Cultural-Smart City: Establishing New Data-informed Practices to Plan Culture in Cities
doi https://doi.org/10.52842/conf.caadria.2020.2.081
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 81-90
summary The idea of the Creative City has encouraged planners to develop cultural policies to support creative economies, city branding, urban identity and urban quality. On the other side, the concept of Smart City introduced the possibility to create, collect and analyse data to inform decisions on cities. The two city agendas overlap in different ways, creating a Smart cultural city nexus, that propose similar goals and mixed methodologies, like the possibility to inform planning processes with big data-based technologies. In line with this direction, we introduced conceptual and methodological tools: the first tool is the definition of Hybrid Art Spaces, the second tool is the Singapore Art Maps (SAM), which uses social media data to locate art venues in cities (Tomarchio et al. 2016); the third tool is the Social Media Art Model, which establishes a relationship between social media production and art venues features. While these tools have already shown interesting analytics outcomes (Tomarchio et al. 2016), it is important to validate their utility among practitioners and to set protocols of practices. This paper presents results from semi-structured interviews and a focus group, as a first step towards assessing the usefulness of our three tools for cultural planning practice.
keywords social media; art; cultural planning; urban planning
series CAADRIA
email
last changed 2022/06/07 07:58

_id ecaade2016_096
id ecaade2016_096
authors Chen, Nai Chun, Nagakura, Takehiko and Larson, Kent
year 2016
title Social Media as Complementary Tool to Evaluate Cities - Data Mining Innovation Districts in Boston
doi https://doi.org/10.52842/conf.ecaade.2016.2.447
source Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 447-456
summary High tech industries are playing an important role in the economic development in the United States. While some cities are shrinking, the "innovation" cities are growing. The attributes that cause some cities to successfully become innovative is a very relevant 21st century topic and will be investigated here.Previous work conduct city analysis through conventional government GIS or census data but such analyses do not answer questions about the perception of citizens inhabiting the city, and the activities they conduct. The novelty of this current project is to make use of large-scale bottom-up data available from social media. Several social media sources-CrunchBase, Twitter, Yelp, and Flickr- were data mined pertaining to four innovation districts in Boston. We found that the success of innovation districts in Boston were correlated with several important variables: the most successful districts tended to occur near research institutions, in very "mixed use" areas, and were unexpectedly not correlated with land and labor prices, unlike technology districts in the past. Based on our study, we make recommendations for the urban design that cities should put in place to increase the potential for "innovation".
wos WOS:000402064400044
keywords Smart Cities; Social Media; Innovation District; Spatial Analysis; Data Mining; Natural Language Processing
series eCAADe
email
last changed 2022/06/07 07:55

_id sigradi2016_000
id sigradi2016_000
authors Martin Iglesias, Rodrigo
year 2016
title Crowdthinking
source SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016
summary The topic "Crowdthinking" reveals the inquiries of researchers about collaborative work, distributed intelligence and collective research. The call focuses on transdisciplinary thinking as a construct based on multiplicity and diversity. All these topics are essential not only in the field of design and architecture, but also in emerging areas of human sciences and arts . Currently, the collaborative design is considered one of the key bases for change in the city and society. In its genesis, it manifests the notion that the world around us is inadequate for many of the needs of the society and from that design can be collectively improved. Such collective research, by combining distributed intelligence, sustainable social development, design cutting edge research, theories and computational strategies, generates a research partnership based on participation and distributed cognition of complex problems. This call proposes an approach in which the results of the experiences can build a model, define or apply axioms and lead to applications. It also looks for emerging conjectures about the process, the creation of computer models and the behaviour of the resulting designs. On the other hand, the need to find solutions that improve the quality of life for the community and sustainable development includes concerns about the integration of the physical and cultural context of cities, mass education and the inclusion of parametric design, digital manufacturing and digital prototyping, and BIM as a system that organizes and ensures the correspondence between the physical urban design and sustainable archetypes. These are some of the concerns in which technology has been contributing to improve the design process by integrating information. This integration optimizes resources and enables the various project professionals to work on the same model, run simulations, improve materializations and evaluate massive amount of data. Projects with greater social and environmental responsibility can be achieved adopting into the teaching and practice this new way of design that anticipates an extensive exchange that wilt foster self-evaluation and reformulation of educational paradigms.
series SIGRADI
email
last changed 2021/03/28 19:58

_id ecaade2016_023
id ecaade2016_023
authors Olascoaga, Carlos Sandoval, Xu, Wenfei and Flores, Hector
year 2016
title Crowd-Sourced Neighborhoods - User-Contextualized Neighborhood Ranking
doi https://doi.org/10.52842/conf.ecaade.2016.2.019
source Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 19-30
summary Finding an attractive or best-fit neighborhood for a new resident of any city is not only important from the perspective of the resident him or herself, but has larger implications for developers and city planners. The environment or mood of the right neighborhood is not simply created through traditional characteristics such as income, crime, or zoning regulations - more ephemeral traits related to user-perception also have significant weight. Using datasets and tools previously unassociated with real-estate decision-making and neighborhood planning, such as social media and machine learning, we create a non-deterministic and customized way of discovering and understanding neighborhoods. Our project creates a customizable ranking system for the 195 neighborhoods in New York City that helps users find the one that best matches their preferences. Our team has developed a composite weighted score with urban spatial data and social media data to rank all NYC neighborhoods based on a series of questions asked to the user. The project's contribution is to provide a scientific and calibrated understanding of the impact that socially oriented activities and preferences have towards the uses of space.
wos WOS:000402064400001
keywords Textual Semantic analysis; machine learning; participatory planning; community detection; neighborhood definition
series eCAADe
email
last changed 2022/06/07 08:00

_id ecaade2016_228
id ecaade2016_228
authors Balaban, Ozgun and Tuncer, Bige
year 2016
title Visualizing Urban Sports Movement
doi https://doi.org/10.52842/conf.ecaade.2016.2.089
source Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 89-94
summary In this study, a visualization tool that maps outdoor physical activity such as runs on a map by specifying time, location, activity, gender, age group, etc. is created. This tool reveals the usage patterns of streets within a city for outdoor physical activity. This tool is created within a larger research project that investigates the influence of streets on the leisure walking activity within cities. For this purpose, the tool is capable of presenting the collected multi-modal data that includes personal fitness data, weather data, spatial data, and crime data. Moreover, the tool creates new analysis capabilities such as displaying usage of streets by urban joggers. The research project in which this tool will be used is aimed for designers/planners to improve streets for 'runnability'.
wos WOS:000402064400008
keywords Sports Activity; Big Data; Urban Visualization; Fitness Applications
series eCAADe
email
last changed 2022/06/07 07:54

_id sigradi2017_078
id sigradi2017_078
authors Brandão, Filipe; Ricardo Correia, Alexandra Paio
year 2017
title Rhythms of Renewal of the City
source SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.534-540
summary In the last few years, building renovation has gained an unprecedented relevance in Portugal, yet it is an asymmetric and urban phenomenon for the study of which, in space and in time, traditional statistic tools have limitations. Using computational tools, it is possible to generate maps that correlate building permits georeferenced data and their processing time. Using Lisbon City Hall database of planning applications and georeferenced vector information, two approaches are developed to represent the internal dynamic of renewal of the city between 2010 and 2016. These maps can be useful to improve the accessibility of planning information to citizens.
keywords Urban renewal; Building renovation; Lisbon; Time; Representation
series SIGRADI
email
last changed 2021/03/28 19:58

_id sigradi2016_639
id sigradi2016_639
authors Casimiro, Giovanna Graziosi; Medeiros, Marina Lima
year 2016
title Cartografias expandidas: Realidade Aumentada e a exposiç?o Memória da Amnésia [Expanded cartography: Augmented Reality and the exhibition Memória da Amnésia]
source SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016, pp.880-884
summary This article analyses the possibilities of expansion of the museum's exhibition space for the urban environment and the new relationships through the development of digital maps and augmented reality geolocated layers. The case study is the Guide of Nomadic Monuments (Guia dos Monumentos Nômades) organized for the exhibition Memory of Amnesia (Memória da Amnésia) that discussed the movement and displacement of statues through the last decades in the city of Sao Paulo, Brazil. The experience of the project is presented from the point of view of the methodological design research, thinking the interface of the city as a backdrop for several experimentations with art collections.
series SIGRADI
email
last changed 2021/03/28 19:58

_id acadia16_460
id acadia16_460
authors Dade-Robertson, Martyn; Corral, Javier Rodriguez; Mitrana, Helen; Zhang, Meng; Wipat, Anil; Ramirez-Figueroa, Carolina; Hernan, Luis
year 2016
title Thinking Soils: A synthetic biology approach to material-based design computation
doi https://doi.org/10.52842/conf.acadia.2016.460
source ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 460-469
summary The paper details the computational modelling work to define a new type of responsive material system based on genetically engineered bacteria cells. We introduce the discipline of synthetic biology and show how it may be possible to program a cell to respond genetically to inputs from its environment. We propose a system of synthetic biocementing, where engineered cells, living within a soil matrix, respond to pore pressure changes in their environment when the soil is loaded by synthesising new material and strengthening the soil. We develop a prototype CAD system which maps genetic responses of individual bacteria cells to geotechnical models of stress and pore pressure. We show different gene promoter sensitivities may make substantial changes to patterns of consolidation. We conclude by indicating future research in this area which combines both in vivo and in silico work.
keywords intelligent materials, material based design computation, synthetic biology, embedded responsiveness
series ACADIA
type paper
email
last changed 2022/06/07 07:56

_id caadria2016_363
id caadria2016_363
authors Lee, Alexander; Suleiman Alhadidi and M. Hank Haeusler
year 2016
title Developing a Workflow for Daylight Simulation
doi https://doi.org/10.52842/conf.caadria.2016.363
source Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 363-372
summary Daylight simulations are occasionally used as active tools in regards to local governing regulations, which are necessary for providing documentation. Simulation tools have been avoided in the past due to their barriers. Daylight simulation tools are used within documentation design stages as ‘passive tools’, however they do not have a direct impact on the architecture design decisions, as passive tools are used by engineers usually to derive material and glass speci- fications. Recent developments within an online community have pro- vided designers with access to daylight simulation tools within a de- sign platform accessible data can be modified and represented with local governing codes to provide designers with relevant information. The paper aimed to develop an active daylight simulation tool within a design platform. Data is filtered with the Green Star benchmarks to export visual information as well as a voxel matrix instead of 2D lu- minance maps. This paper outlines a workflow of the simulation tool used to evaluate daylight performance of a selected building as a case study in real time. The paper also details potential problems and justi- fied suggestions derived from the analysis for the building to reach the requirements within the Green Star Multi Unit Residential.
keywords Data-driven design; computation environmental design; daylight simulation; Green Star
series CAADRIA
email
last changed 2022/06/07 07:52

_id caadria2016_395
id caadria2016_395
authors Ugarte, J. P. and M. Leef
year 2016
title Digital Geo-Plexus: Instagram as a tool for re-evaluating notions of proximity
doi https://doi.org/10.52842/conf.caadria.2016.395
source Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 395-404
summary The research presented in this paper describes the develop- ment of an Instagram-based multidimensional clustering algorithm. The algorithm analyses large datasets of Instagram images to establish new metrics that qualitatively assess proximity relations in a given geographical area —i.e. negotiates multiple acceptations of proximity. Influenced by Qualitative Spatial Reasoning, Lewis Mumford’s geo- graphic plexus and Kevin Lynch’s perceptual mapping, a graphic GUI-based application has been developed to produce real-time visu- alizations —maps, network graphs, and charts— by means of brows- ing, downloading and post-processing Instagram feeds. First, the ap- plication’s functioning will be described; second, several graphic visualizations will demonstrate the capabilities of the software; third, limitations and further development will be discussed.
keywords Instagram; big data; social network
series CAADRIA
email
last changed 2022/06/07 07:57

_id ascaad2016_031
id ascaad2016_031
authors Amireh, Omar; Manal Ryalat and Tasbeeh Alaqtum
year 2016
title Narrative Architectural Fiction in Mentally Built Environments
source Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 283-294
summary A thin line lies between reality and fiction; what is mentally imagined and what is visualized. It all depends on how ideas and images are perceived or what neurological activity is triggered in the user’s brain. Architects and designers spare no effort or tools in presenting buildings, architecture or designs in all forms or ways that would augment users’ experience whether on the perceptual or the cognitive level and in both the digital or the physical environments. In a progressive tendency they, the designers, tend to rely more and more on digitizing their vision and mission, which subsequently give them, impressive and expressive superiority, that would influence the users conscious on the one hand and manipulate their subconscious on the other. Within that process designers work hard to break any mental firewall that would prevent their ideas from pervading the space of any mental environment the user, build or visualize. In that context, to what extent such ways of mental entertainments used by architects, legitimize deception in design? What distinguishes employing the rhythmic simulation of the narrative fictional inceptions (virtual reality) from deploying the adaptive stimulation of the experience modeling conceptions. The difference between planting an idea and constructing an idea. It is not the intention of the paper to prove the failure of the computer aided design neither to stand against the digital architectural design media and applications development. It is rather to present a different way of understanding of how architectural design whether virtual, digital, or real can stimulates and induces codes and messages that is correlated to the brainwave cognitive attributes and can generate a narrative brain environment where the brain can construct and simulate its own fictional design. Doing so, the paper will review certain experimental architectural events and activities which integrate sound and sight elements and effects within some electronic, technical and digital environments.
series ASCAAD
email
last changed 2017/05/25 13:33

_id acadia16_130
id acadia16_130
authors Koschitz, Duks; Ramagosa, Bernat; Rosenbaum, Eric
year 2016
title Beetle Blocks: A New Visual Language for Designers and Makers
doi https://doi.org/10.52842/conf.acadia.2016.130
source ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 130-139
summary We are introducing a new teaching tool to show designers, architects, and artists procedural ways of constructing objects and space. Computational algorithms have been used in design for quite some time, but not all tools are very accessible to novice programmers, especially undergraduate students. ‘Beetle Blocks’ (beetleblocks.com) is a software environment that combines an easy-to-use graphical programming language with a generative model for 3D space, drawing on ‘turtle geometry,’ a geometry paradigm introduced by Abelson and Disessa, that uses a relative as opposed to an absolute coordinate system. With Beetle Blocks, designers are able to learn computational concepts and use them for their designs with more ease, as individual computational steps are made visually explicit. The beetle, the relative coordinate system, follows instructions as it moves about in 3D space. Anecdotal evidence from studio teaching in undergraduate programs shows that despite the early introduction of digital media and tools, architecture students still struggle with learning formal languages today. Beetle Blocks can significantly simplify the teaching of complex geometric ideas and we explain how this can be achieved via several examples. The blocks-based programming language can also be used to teach fundamental concepts of manufacturing and digital fabrication and we elucidate in this paper which possibilities are conducive for 2D and 3D designs. This project was previously implemented in other languages such as Flash, Processing and Scratch, but is now developed on top of Berkeley’s ‘Snap!’
keywords generative design, design pedagogy, digital fabrication, tool-building, pedagogical tools
series ACADIA
type paper
email
last changed 2022/06/07 07:51

_id caadria2016_013
id caadria2016_013
authors Aschwanden, Gideon D.P.A.
year 2016
title Neighbourhood detection with analytical tools
doi https://doi.org/10.52842/conf.caadria.2016.013
source Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 13-22
summary The increasing population size of cities makes the urban fabric ever more complex and more disintegrated into smaller areas, called neighbourhoods. This project applies methods from geoscience and software engineering to the process of identification of those neighbourhoods. Neighbourhoods, by nature, are defined by connec- tivity, centrality and similarity. Transport and geospatial datasets are used to detect the characteristics of places. An unsupervised learning algorithm is then applied to sort places according to their characteris- tics and detect areas with similar make up: the neighbourhood. The at- tributes can be static like land use or space syntax attributes as well as dynamic like transportation patterns over the course of a day. An un- supervised learning algorithm called Self Organizing Map is applied to project this high dimensional space constituting of places and their attributes to a two dimensional space where proximity is similarity and patterns can be detected – the neighbourhoods. To summarize, the proposed approach yields interesting insights into the structure of the urban fabric generated by human movement, interactions and the built environment. The approach represents a quantitative approach to ur- ban analysis. It reveals that the city is not a polychotomy of neigh- bourhoods but that neighbourhoods overlap and don’t have a sharp edge.
keywords Data analytics; urban; learning algorithms; neighbourhood delineation
series CAADRIA
email
last changed 2022/06/07 07:54

_id ecaade2017_134
id ecaade2017_134
authors Del Signore, Marcella
year 2017
title pneuSENSE - Transcoding social ecologies
doi https://doi.org/10.52842/conf.ecaade.2017.2.537
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 537-544
summary Cities are continuously produced through entropic processes that mediate between complex networked systems and the immediacy urban life. Emergent media technologies inform new relationships between information and matter, code and space to redefine new urban ecosystems. Modes of perceiving, experiencing and inhabiting cities are radically changing along with a radical transformation of the tools that we use to design. Cities as complex and systemic organisms require approaches that engage new multi-scalar strategies to connect the physical layer with the system of networked ecologies. This paper aims at investigating emerging and novel forms of reading and producing urban spaces reimagining the physical city through intelligent and mediated processes. Through data agency and responsive urban processes, the design methodology explored the materialization of a temporary pneumatic structure and membrane that tested material performance through fabrication and sensing practices through the pneuSENSE project developed in July 2016 in New York at the Brooklyn Navy Yard during the 'HyperCities' IaaC- Institute for Advanced Architecture of Catalonia - Global Summer School.
keywords responsive urban processes; data agency ; reciprocity between micro (body) and macro (environment); dynamics of social ecologies; mapped-environment
series eCAADe
email
last changed 2022/06/07 07:55

_id sigradi2016_555
id sigradi2016_555
authors Fernández Colombo, Mónica Inés; Bonvecchi, Liliana Telma; Granero, Adriana Edith; Brignone, Mabel Clara
year 2016
title Aprendizaje Basado en Problemas + Innovación Tecnológica [Problem-based learning + Technological Innovation]
source SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016, pp.938-943
summary Collaboration between government agencies and academia seeks to facilitate a comprehensive approach by city representatives and stakeholders. Internet and social media connectivity may be applied as a self-organization tool. The response of architecture to the public space needs to consider hybrid spaces that combine digital and physical, representations, allowing urban experiences that are enhanced by virtual data imprinted on existing physical information. The study of these aspects may be the purpose of future city projects or become a form of communication of government proposals to the neighbors, beyond the scope of the discipline.
series SIGRADI
email
last changed 2021/03/28 19:58

_id caadria2016_229
id caadria2016_229
authors Liu, Yuezhong; Rudi Stouffs, Abel Tablada, Nyuk Hien Wong and Ji Zhang
year 2016
title Micro-scale weather data for energy performance assessment in Singapore
doi https://doi.org/10.52842/conf.caadria.2016.229
source Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 229-238
summary Weather data plays an important role for energy perfor- mance assessment in the design of buildings and urban environments. Many researches have been carried out to generate and analyse vari- ous weather files for different simulation platforms. However, investi- gations have been lacking in the development of weather files that ac- count for urban heat island (UHI) problems. As a result of global warming and the complexity of the urban environment, the weather file for a modern city cannot be simply based on climate information from 20 years ago. The objective of this research is to demonstrate a method for creating different micro-scale typical meteorological year (TMY) weather files based on different urban texture values. This re- search includes three steps: 1) Recent years weather data is obtained. 2) Considering the UHI impact, a series of new TMY weather files are generated for different micro-scale areas in Singapore based on rele- vant urban texture variables. 3) A comparison of the results shows that there is a big difference between the new and the old TMY. The tem- perature of the new TMY is 1-2°C higher, while the solar radiation is lower than the original TMY data. Hence the new weather files will be more credible than the original TMY for energy performance simula- tion in the design process.
keywords TMY; UHI; Sandia method; energy performance
series CAADRIA
email
last changed 2022/06/07 07:59

_id sigradi2016_559
id sigradi2016_559
authors Martín-Mariscal, Amanda; Martín-Pastor, Andrés; López-Martínez, Alicia; Chiarella, Mauro
year 2016
title Geometría avanzada para espacios de gestión ciudadana: un enfoque desde la Creatividad Colectiva [Advanced geometry for spaces of citizen management: an approach from the Collective Creativity]
source SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016, pp.352-359
summary This work proposes the collective creativity processes for the creation of light architectures developed through advanced geometry. The aim is to provide contemporary solutions to citizen management areas. Nowadays, this type of urban areas is flourishing and seems to be interesting for parametric design and digital production to offer solutions to certain social needs via “High Tech” and “Low Cost” architectures created by collaborative processes.
series SIGRADI
email
last changed 2021/03/28 19:58

_id ascaad2016_047
id ascaad2016_047
authors Algeciras-Rodríguez, José
year 2016
title Trained Architectonics
source Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 461-468
summary The research presented here tests the capacity of artificial-neural-network (ANN) based multi-agent systems to be implemented in architectural design processes. Artificial Intelligence algorithms allow for a new approach to design, taking advantage of its generic functioning to produce meaningful outcomes. Experimentation within this project is based on Self-Organizing Maps (SOMs) and takes advantage of its behavior in topology to produce architectural geometry. SOMs as full stochastic processes involve randomness, uncertainty and unpredictability as key features to deal with during the design process. Following this behavior, SOMs are used to transmit information, which, instead of being copied, is reproduced after a learning (training) process. Pre-existent architectural objects are taken as learning models as they have been considered masterpieces. In this context, by defining the SOM input set, masterpieces become measurement elements and can be used to set a distance to the new element position in a comparatistic space. The characteristics of masterpieces get embedded within the code and are transmitted to 3D objects. SOM produced objects from a population with shared characteristics where the masterpiece position is its probabilistic center point.
series ASCAAD
email
last changed 2017/05/25 13:33

_id ecaade2016_188
id ecaade2016_188
authors Bingöl, Cemal Koray and Çolako?lu, Birgül
year 2016
title Agent-Based Urban Growth Simulation - A Case Study on Istanbul
doi https://doi.org/10.52842/conf.ecaade.2016.2.041
source Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 41-48
summary This study aims to create a simulation model for urban growth with agent-based modeling. The model is based on the theoretical research of Michael Batty on urban growth simulations. The study explains how the theoretical approach applied in the model with the parameters. The model in this study is created in an open-source API called 'Processing' and the simulations executed through the parameters in the study. The results of the simulation are compared with each other to find optimal parameters fits in the theoretical approach. Parameters are tested on an existing urban settlement map, which Is Istanbul. The results of Istanbul simulation are compared with existing density and urban sprawl maps of Istanbul and discussed for further studies.
wos WOS:000402064400003
keywords agent-based design; urban growth; urban simulation
series eCAADe
email
last changed 2022/06/07 07:54

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