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	cdrf2019_103
id	cdrf2019_103
authors	Runjia Tian
year	2020
title	Suggestive Site Planning with Conditional GAN and Urban GIS Data
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_10
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	In architecture, landscape architecture, and urban design, site planning refers to the organizational process of site layout. A fundamental step for site planning is the design of building layout across the site. This process is hard to automate due to its multi-modal nature: it takes multiple constraints such as street block shape, orientation, program, density, and plantation. The paper proposes a prototypical and extensive framework to generate building footprints as masterplan references for architects, landscape architects, and urban designers by learning from the existing built environment with Artificial Neural Networks. Pix2PixHD Conditional Generative Adversarial Neural Network is used to learn the mapping from a site boundary geometry represented with a pixelized image to that of an image containing building footprint color-coded to various programs. A dataset containing necessary information is collected from open source GIS (Geographic Information System) portals from the city of Boston, wrangled with geospatial analysis libraries in python, trained with the TensorFlow framework. The result is visualized in Rhinoceros and Grasshopper, for generating site plans interactively.
series	cdrf
email
last changed	2022/09/29 07:51

_id	acadia20_136p
id	acadia20_136p
authors	López Lobato, Déborah; Charbel, Hadin
year	2020
title	Foll(i)cle
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 136-141
summary	In the early months of 2019, air pollution in Bangkok reached a record high, bringing national and international attention to the air quality in the South East Asian cosmopolitan. Although applications such as real-time pollution maps provide an environmental reading from the exterior, such information reveals the ‘here and now,’ where its record is inevitably lost through the ‘refreshing’ process of the live update and does not take increment and accumulation as factors to consider. The project was conceived around understanding the human body as precisely that medium that resists classification as either an interior or exterior environment that inherently performs as an impressionable record of its surroundings. Can a city’s toxicity be read through its living constituents? Can the living bodies that dwell, navigate, breathe, and process habitable environments be accessed? Can architecture retain a degree of independence while also performing as a beacon for the collective? Along this line of questioning, it was found that human hair can be transformed from a material that is effortlessly and continuously grown, cut, stylized, and discarded, and instead be intercepted and used in the production of public information gathering. Foll(i)cle is a collective being made of discarded human hair. Performing as a parliament for collectivity embedded with a protocol; the hairy pavilion invites the public in and presents them with a device at the center that hosts all the necessary equipment and information for anonymously and voluntarily providing hair samples for heavy metal analysis, the data of which is used in making a publically accessible toxi-cartography. Although humans are the primary subject for this study, the results suggest that extending the methodology to non-humans could prove useful in reading urban toxicity through various life forms.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	acadia23_v3_111
id	acadia23_v3_111
authors	Markopoulou, Areti
year	2023
title	Urban Mining: Material Resources for Circular Construction
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	The material balance of the Earth is being challenged. The year 2020 was marked as the year when the total weight of human-made materials globally surpassed the weight of all life on Earth, while it is estimated that in the years to come the growth rate of mass added to the anthroposphere will increase exponentially (Elhacham et al., 2020). In this context of hypergrowth coupled with the climate emergency, the growing rate of urbanization and the increasing social and political awareness on the matters of the Anthropocene, the topics of resource depletion or insufficiency are being reframed. This keynote lecture at ACADIA 2023 highlights the importance of redefining resources and is introducing a new cultural, design and construction paradigm. Operating from an abundance mindset rather than from scarcity (Gausa et al., 2020) presents a new paradigm, particularly relevant in the design and production of the built environment. This approach expands the definition of resources, encompassing raw, non-raw, renewable, and recyclable materials. Shifting attention to the Anthroposphere as a source rather than just a destination for processed goods has the potential to disrupt linear design patterns and enhance circularity in cities and the built environment.
series	ACADIA
type	keynote
email
last changed	2024/04/17 13:59

_id	ijac202018202
id	ijac202018202
authors	Pasquero, Claudia and Marco Poletto
year	2020
title	Bio-digital aesthetics as value system of post-Anthropocene architecture
source	International Journal of Architectural Computing vol. 18 - no. 2, 120-140
summary	It is timely within the Anthropocene era, more than ever before, to search for a non-anthropocentric mode of reasoning, and consequently designing. The PhotoSynthetica Consortium, established in 2018 and including London-based ecoLogicStudio, the Urban Morphogenesis Lab (Bartlett School of Architecture, University College London) and the Synthetic Landscape Lab (University of Innsbruck, Austria), has therefore been pursuing architecture as a research-based practice, exploring the interdependence of digital and biological intelligence in design by working directly with non-human living organisms. The research focuses on the diagrammatic capacity of these organisms in the process of growing and becoming part of complex bio-digital architectures. A key remit is training architects’ sensibility at recognising patterns of reasoning across disciplines, materialities and technological regimes, thus expanding the practice’s repertoire of aesthetic qualities. Recent developments in evolutionary psychology demonstrate that the human sense of beauty and pleasure is part of a co-evolutionary system of mind and surrounding environment. In these terms, human senses of beauty and pleasure have evolved as selection mechanisms. Cultivating and enhancing them compensate and integrate the functions of logical thinking to gain a systemic view on the planet Earth and the dramatic changes it is currently undergoing. This article seeks to illustrate, through a series of recent research projects, how a renewed appreciation of beauty in architecture has evolved into an operational tool to design and measure its actual ecological intelligence.
keywords	Bio-digital, bio-computation, bio-city, effectiveness, empathy, impact, sensing
series	journal
email
last changed	2020/11/02 13:34

_id	caadria2020_384
id	caadria2020_384
authors	Patt, Trevor Ryan
year	2020
title	Spectral Clustering for Urban Networks
doi	https://doi.org/10.52842/conf.caadria.2020.2.091
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. 91-100
summary	As planetary urbanization accelerates, the significance of developing better methods for analyzing and making sense of complex urban networks also increases. The complexity and heterogeneity of contemporary urban space poses a challenge to conventional descriptive tools. In recent years, the emergence of urban network analysis and the widespread availability of GIS data has brought network analysis methods into the discussion of urban form. This paper describes a method for computationally identifying clusters within urban and other spatial networks using spectral analysis techniques. While spectral clustering has been employed in some limited urban studies, on large spatialized datasets (particularly in identifying land use from orthoimages), it has not yet been thoroughly studied in relation to the space of the urban network itself. We present the construction of a weighted graph Laplacian matrix representation of the network and the processing of the network by eigen decomposition and subsequent clustering of eigenvalues in 4d-space.In this implementation, the algorithm computes a cross-comparison for different numbers of clusters and recommends the best option based on either the 'elbow method,' or by "eigen gap" criteria. The results of the clustering operation are immediately visualized on the original map and can also be validated numerically according to a selection of cluster metrics. Cohesion and separation values are calculated simultaneously for all nodes. After presenting these, the paper also expands on the 'silhouette' value, which is a composite measure that seems especially suited to urban network clustering.This research is undertaken with the aim of informing the design process and so the visualization of results within the active 3d model is essential. Within the paper, we illustrate the process as applied to formal grids and also historic, vernacular urban fabric; first on small, extract urban fragments and then over an entire city networks to indicate the scalability.
keywords	Urban morphology; network analysis; spectral clustering; computation
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2020_056
id	caadria2020_056
authors	Schnabel, Marc Aurel and Chowdhury, Shuva
year	2020
title	VR Unmatched - Leveraging Non-experts as Co-Urban Designers
doi	https://doi.org/10.52842/conf.caadria.2020.1.651
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 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 651-660
summary	The recent development in Virtual Reality (VR) allows for novel engagement in participatory urban design. Despite that any design approach cannot include and address all items that are relevant or needed during a design process, social VR design instruments offer additionality via their real-time generation and visualisation possibilities that are unmatched in conventional realms. The research employs an anthropogenic approach to design research to engage end-users in the design process. An Immersive Virtual Environment (IVE) instrument 'SketchPad' allows laypersons to design successfully urban forms. SketchPad engaged laypersons in a meaningful design discussion and generations of urban spaces. The research discusses the findings of the experiments. The paper concludes with a reflection of how non-experts as co-designers can use IVE instruments to drive change of their neighbourhood proactively and to positively impact on the liveability of their neighbourhood.
keywords	SketchPad; Co-design; Layperson; Design Participation; Urban Design
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia21_76
id	acadia21_76
authors	Smith, Rebecca
year	2021
title	Passive Listening and Evidence Collection
doi	https://doi.org/10.52842/conf.acadia.2021.076
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 76-81.
summary	In this paper, I present the commercial, urban-scale gunshot detection system ShotSpotter in contrast with a range of ecological sensing examples which monitor animal vocalizations. Gunshot detection sensors are used to alert law enforcement that a gunshot has occurred and to collect evidence. They are intertwined with processes of criminalization, in which the individual, rather than the collective, is targeted for punishment. Ecological sensors are used as a “passive” practice of information gathering which seeks to understand the health of a given ecosystem through monitoring population demographics, and to document the collective harms of anthropogenic change (Stowell and Sueur 2020). In both examples, the ability of sensing infrastructures to “join up and speed up” (Gabrys 2019, 1) is increasing with the use of machine learning to identify patterns and objects: a new form of expertise through which the differential agendas of these systems are implemented and made visible. I trace the differential agendas of these systems as they manifest through varied components: the spatial distribution of hardware in the existing urban environment and / or landscape; the software and other informational processes that organize and translate the data; the visualization of acoustical sensing data; the commercial factors surrounding the production of material components; and the apps, platforms, and other forms of media through which information is made available to different stakeholders. I take an interpretive and qualitative approach to the analysis of these systems as cultural artifacts (Winner 1980), to demonstrate how the political and social stakes of the technology are embedded throughout them.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_173
id	caadria2020_173
authors	Zhou, JueLun and Tong, ZiYu
year	2020
title	Spatial Characteristics Analysis of Urban Form at the Macroscale Based on Landscape Pattern Indices
doi	https://doi.org/10.52842/conf.caadria.2020.1.823
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 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 823-832
summary	Spatial characteristics are significant for urban form studies. Because quantifying the urban form at the macroscale is difficult, most of the relevant studies neglect or simplify the diversity of urban built areas. Local climate zone (LCZ) classification systems can transform macro urban form into a theme map composed of different LCZ classes, and such LCZ maps represent an effective urban form mapping technique, especially for built areas. However, this method still fails to provide a quantitative representation of the spatial characteristics. In this paper, the LCZ map is treated as a matrix composed of different patches and landscape pattern indices are applied to quantify the urban form. Taking 8 Chinese cities as case studies, the results show that 4 landscape scale indices and 4 class scale indices can effectively quantify the spatial characteristics of the urban form, including the area, shape, aggregation, and diversity. The quantitative spatial characteristics can provide a reference for urban design and management.
keywords	landscape pattern indices; Local Climate Zones (LCZ); urban form
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2020_118
id	caadria2020_118
authors	Chow, Ka Lok and van Ameijde, Jeroen
year	2020
title	Generative Housing Communities - Design of Participatory Spaces in Public Housing Using Network Configurational Theories
doi	https://doi.org/10.52842/conf.caadria.2020.2.283
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. 283-292
summary	This research-by-design project explores how public housing estates can accommodate social diversity and the appropriation of shared spaces, using qualitative and quantitative analysis of circulation networks. A case study housing estate in Hong Kong was analysed through field observations of movements and activities and as a site for the speculative re-design of shared spaces. Generative design processes were developed based on several parameters, including shortest paths, visibility integration and connectivity integration (Hillier & Hanson, 1984). Additional tools were developed to combine these techniques with optimisation of sunlight access, maximisation of views for residential towers and the provision of permeability of ground level building volumes. The project demonstrates how flexibility of use and social engagement can constitute a platform for self-organisation, similar to Jane Jacobs' notion of vibrant streets leading to active and progressive communities. It shows how computational design and configurational theories can promote a bottom-up approach for generating new types of residential environments that support participatory and diverse communities, rather than a conventional top-down approach that is perceived to embody mechanisms of social regimentation.
keywords	Urban Planning and Design; Network Configuration; Community Space and Social Interaction; Hong Kong Public Housing
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	sigradi2020_903
id	sigradi2020_903
authors	Herran Cuartas, Coppelia
year	2020
title	Domestic spaces design for allow income housing
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 903-911
summary	This research is related to the urban transformation that Medellín underwent during the 2004-2011 administrations, in which large architectural projects were implemented in the poorest and most violent areas of the city. To inquire about the effectiveness of these interventions, we look at one of the housing projects worthies of different international recognitions, called the Housing Consolidation of the Quebrada Juan Bobo. Characterized by generating Social Interest Housing (Vivienda de Interés Social-VIS in Spanish) in the creek’s basin, this project benefited 1,240 people who were relocated within the same neighborhood, including some on the same space next to the creek, where their old home was built.
keywords	Live, Quality of life, Home, Domestic practices, Informality
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	ecaade2020_222
id	ecaade2020_222
authors	Ikeno, Kazunosuke, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2020
title	Automatic Generation of Horizontal Building Mask Images by Using a 3D Model with Aerial Photographs for Deep Learning
doi	https://doi.org/10.52842/conf.ecaade.2020.2.271
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 271-278
summary	Information extracted from aerial photographs is widely used in urban planning and design. An effective method for detecting buildings in aerial photographs is to use deep learning for understanding the current state of a target region. However, the building mask images used to train the deep learning model are manually generated in many cases. To solve this challenge, a method has been proposed for automatically generating mask images by using virtual reality 3D models for deep learning. Because normal virtual models do not have the realism of a photograph, it is difficult to obtain highly accurate detection results in the real world even if the images are used for deep learning training. Therefore, the objective of this research is to propose a method for automatically generating building mask images by using 3D models with textured aerial photographs for deep learning. The model trained on datasets generated by the proposed method could detect buildings in aerial photographs with an accuracy of IoU = 0.622. Work left for the future includes changing the size and type of mask images, training the model, and evaluating the accuracy of the trained model.
keywords	Urban planning and design; Deep learning; Semantic segmentation; Mask image; Training data; Automatic design
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2020_047
id	caadria2020_047
authors	Lee, Han Jie, Lin, Zhuoli, Zhang, Ji and Janssen, Patrick
year	2020
title	Irradiance Mappinig for Large Scale City Models
doi	https://doi.org/10.52842/conf.caadria.2020.1.803
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 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 803-812
summary	This paper reports on the development of a geocomputational simulation workflow for the irradiance mapping of large scale city models. A fully automated workflow is presented, for importing CityGML city models, generating the simulation input models, executing the simulations, and aggregating the results. In order to speed up the overall processing time, the workflow uses parallel processing across multiple computers and multiple cores. Two case studies are presented, for Singapore and for Rotterdam.
keywords	Integrated irradiance simulation; Solar potential assessment ; Large scale urban 3D model; Houdini; Radiance
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2020_259
id	caadria2020_259
authors	Rhee, Jinmo, Veloso, Pedro and Krishnamurti, Ramesh
year	2020
title	Integrating building footprint prediction and building massing - an experiment in Pittsburgh
doi	https://doi.org/10.52842/conf.caadria.2020.2.669
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. 669-678
summary	We present a novel method for generating building geometry using deep learning techniques based on contextual geometry in urban context and explore its potential to support building massing. For contextual geometry, we opted to investigate the building footprint, a main interface between urban and architectural forms. For training, we collected GIS data of building footprints and geometries of parcels from Pittsburgh and created a large dataset of Diagrammatic Image Dataset (DID). We employed a modified version of a VGG neural network to model the relationship between (c) a diagrammatic image of a building parcel and context without the footprint, and (q) a quadrilateral representing the original footprint. The option for simple geometrical output enables direct integration with custom design workflows because it obviates image processing and increases training speed. After training the neural network with a curated dataset, we explore a generative workflow for building massing that integrates contextual and programmatic data. As trained model can suggest a contextual boundary for a new site, we used Massigner (Rhee and Chung 2019) to recommend massing alternatives based on the subtraction of voids inside the contextual boundary that satisfy design constraints and programmatic requirements. This new method suggests the potential that learning-based method can be an alternative of rule-based design methods to grasp the complex relationships between design elements.
keywords	Deep Learning; Prediction; Building Footprint; Massing; Generative Design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia20_160
id	acadia20_160
authors	Sun, Yunjuan; Jiang, Lei; Zheng, Hao
year	2020
title	A Machine Learning Method of Predicting Behavior Vitality Using Open Source Data
doi	https://doi.org/10.52842/conf.acadia.2020.2.160
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 160-168.
summary	The growing popularity of machine learning has provided new opportunities to predict certain behaviors precisely by utilizing big data. In this research, we use an image-based neural network to explore the relationship between the built environment and the activity of bicyclists in that environment. The generative model can produce heat maps that can be used to predict quantitatively the cycling and running activity in a given area, and then use urban design to enhance urban vitality in that area. In the machine learning model, the input image is a plan view of the built environment, and the output image is a heat map showing certain activities in the corresponding area. After it is trained, the model yields output (the predicted heat map) at an acceptable level of accuracy. The heat map shows the levels and conditions of the subject activity in different sections of the built environment. Thus, the predicted results can help identify where regional vitality can be improved. Using this method, designers can not only predict the behavioral heat distribution but also examine the different interactions between behaviors and aspects of the environment. The extent to which factors might influence behaviors is also studied by generating a heat map of the modified plan. In addition to the potential applications of this approach, its limitations and areas for improvement are also proposed.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2021_151
id	ecaade2021_151
authors	Zolghadrasli, Niloofar, Hadighi, Mahyar and Costa, Eduardo
year	2021
title	Computational Generation of Hybrid Façades for a Focal Context - The case of Naser-Khosrow Street in Tehran
doi	https://doi.org/10.52842/conf.ecaade.2021.2.333
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 333-340
summary	The purpose of this paper is to use shape grammar methodology to generate contextualized urban façades within the focal context of Naser-Khosrow Street in Iran's capital city of Tehran. The history of Naser-Khosrow Street, which is considered a significant historic urban space, begins in the Safavid period (1735-1501). Yet, the urban history and historical significance of this street have been neglected in recent years. Evidence of a sense of turmoil and incompatibility between the modern and traditional architectural façades featured on the street is easily observed. Against this background, this paper offers façade models generated based on the computational methodology developed by Hadighi and Duarte (2019, 2020) to determine and capture the hybrid expression of European modernist and American traditional styles. In this spirit, the systematic methodology of shape grammar is expanded to the focal urban area of Naser-Khosrow Street to generate new façade layouts referencing the characteristic features of some of the iconic buildings located there.
keywords	Shape Grammar, Naser -Khosrow Street, Façade Design, Generating Hybridity
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2020_089
id	ecaade2020_089
authors	Ardic, Sabiha Irem, Kirdar, Gulce and Lima, Angela Barros
year	2020
title	An Exploratory Urban Analysis via Big Data Approach: Eindhoven Case - Measuring popularity based on POIs, accessibility and perceptual quality parameters
doi	https://doi.org/10.52842/conf.ecaade.2020.2.309
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 309-318
summary	The cities are equipped with the data as a result of the individuals' sharings and application usage. This significant amount of data has the potential to reveal relations and support user-centric decision making. The focus of the research is to examine the relational factors of the neighborhoods' popularity by implementing a big data approach to contribute to the problem of urban areas' degradation. This paper presents an exploratory urban analysis for Eindhoven at the neighborhood level by considering variables of popularity: density and diversity of points of interest (POI), accessibility, and perceptual qualities. The multi-sourced data are composed of geotagged photos, the location and types of POIs, travel time data, and survey data. These different datasets are evaluated using BBN (Bayesian Belief Network) to understand the relationships between the parameters. The results showed a positive and relatively high connection between popularity - population change, accessibility by walk - density of POIs, and the feeling of safety - social cohesion. For further studies, this approach can contribute to the decision-making process in urban development, specifically in real estate and tourism development decisions to evaluate the land prices or the hot-spot touristic places.
keywords	big data approach; neighborhood analysis; popularity; point of interest (POI); accessibility; perceptual quality
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2020_112
id	sigradi2020_112
authors	Brandao, Jaqueline; Costa, Frederico Ribeiro; Silva, Geovany
year	2020
title	Morphological transformations in Brazilian peripheral areas: a case study of the Vila Cabral neighborhood at Campina Grande-PB
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 112-119
summary	This article describes an analysis of the morphological changes between 2005 and 2020 in the Vila Cabral neighborhood, located on the outskirts of the Brazilian city of Campina Grande. The research was developed in two different analytical scenarios, adopting the algorithmic- parametric computational implementation as a methodology, and applying the following procedures: (i) formal decomposition of a sample of the urban fabric; (ii) visibility graph analysis (VGA); (iii) analysis of the diversity of uses and (iv) analysis of urban density (populational and built). The study demonstrated that the association of different urban analysis tools strengthens decision-making in the context of evidence-based urban design.
keywords	Algorithmic-parametric urban analysis, Evidence-based design, Urban morphology, Campina Grande, Brazilian peripheral sprawl
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	caadria2020_098
id	caadria2020_098
authors	Davidova, Marie and McMeel, Dermott
year	2020
title	Codesigning with Blockchain for Synergetic Landscapes - The CoCreation of Blockchain Circular Economy through Systemic Design
doi	https://doi.org/10.52842/conf.caadria.2020.2.333
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. 333-342
summary	The paper is exploring methodology within the work in progress research by design through teaching project called 'Synergetic Landscapes'. It discusses codesign and cocreation processes that are crossing the academia, NGOs and applied practice within so called 'real life codesign laboratory' (DavidovÃ¡, PÃ¡nek, & PÃ¡nkovÃ¡, 2018). This laboratory performs in real time and real life environment. The work investigates synergised bio-digital (living, non-living, physical, analogue, digital and virtual) prototypical interventions in urban environment that are linked to circular economy and life cycles systems running on blockchain. It represents a holistic systemic interactive and performing approach to design processes that involve living, habitational and edible, social and reproductive, circular and token economic systems. Those together are to cogenerate synergetic landscapes.
keywords	codesign; blockchain; systemic design; prototyping; bio-digital design
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	sigradi2020_945
id	sigradi2020_945
authors	Estrada Calderon, Gibsy Marcela; Becerra Santacruz, Habid
year	2020
title	Responsive Surface Design to Reduce the Urban Heat Island Effect (UHI)
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 945-952
summary	The present project aims to influence the reduction of the urban heat island effect (UHI) by designing sensitive surfaces that respond to changes in temperature. This research presents a scenario with a vision of cities with adaptive designs that is generated from the insertion of elements sensitive to the environment (elements that respond to environmental stimuli). Responsive elements become constant factors in small-scale or large-scale design that transform the way environment is changed to a sensitive and resilient urban environment against possible adverse environmental conditions.
keywords	Urban heat island, Surface design, Sensitive environments, Resilient
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	caadria2020_402
id	caadria2020_402
authors	Ezzat, Mohammed
year	2020
title	A Framework for a Comprehensive Conceptualization of Urban Constructs - SpatialNet and SpatialFeaturesNet for computer-aided creative urban design
doi	https://doi.org/10.52842/conf.caadria.2020.2.111
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. 111-120
summary	Analogy is thought to be foundational for designing and for design creativity. Nonetheless, practicing analogical reasoning needs a knowledge-base. The paper proposes a framework for constructing a knowledge-base of urban constructs that builds on an ontology of urbanism. The framework is composed of two modules that are responsible for representing either the concepts or the features of any urban constructs' materialization. The concepts are represented as a knowledge graph (KG) named SpatialNet, while the physical features are represented by a deep neural network (DNN) called SpatialFeaturesNet. For structuring SpatialNet, as a KG that comprehensively conceptualizes spatial qualities, deep learning applied to natural language processing (NLP) is employed. The comprehensive concepts of SpatialNet are firstly discovered using semantic analyses of nine English lingual corpora and then structured using the urban ontology. The goal of the framework is to map the spatial features to the plethora of their matching concepts. The granularity Ã nd the coherence of the proposed framework is expected to sustain or substitute other known analogical, knowledge-based, inspirational design approaches such as case-based reasoning (CBR) and its analogical application on architectural design (CBD).
keywords	Domain-specific knowledge graph of urban qualities; Deep neural network for structuring KG; Natural language processing and comprehensive understanding of urban constructs; Urban cognition and design creativity; Case-based reasoning (CBR) and case-based design (CBD)
series	CAADRIA
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last changed	2022/06/07 07:55

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