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	ijac202018102
id	ijac202018102
authors	Seifert, Nils; Michael Mühlhaus and Frank Petzold
year	2020
title	Urban strategy playground: Rethinking the urban planner’s toolbox
source	International Journal of Architectural Computing vol. 18 - no. 1, 20-40
summary	This article presents the results of the Urban Strategy Playground research group. Over the last 5 years, the focus of an interdisciplinary team of researchers was the conception, implementation and evaluation of a decision-support system for inner-city urban and architectural planning. The overall aim of past and ongoing research is to enable planners to validate and compare possible planning measures based on objective criteria. The Urban Strategy Playground software framework is an expandable toolbox that supports planners in developing strategies, evaluating them and visually preparing them for political decision-making processes and public participation. Examples of implemented tools are the simulation and monitoring of building codes, analysis of key density indicators and green space provision, simulation of shading, building energy and noise dispersion. For visualising the planning results, the framework provides interfaces for rapid prototyping of haptic models, as well as web viewers and a connection to Augmented Reality applications. Core aspects of the system were evaluated through case studies in cooperation with urban planning offices, housing companies and municipalities, proving feasibility, high acceptance of the decision-support software, and need for more tailored tools.
keywords	Urban planning, decision support, participation, augmented reality, 3D printing, visual programming, 3D city model
series	journal
email
last changed	2020/11/02 13:34

_id	sigradi2020_455
id	sigradi2020_455
authors	Bastian, Andrea Verri; Filho, Jarede Joaquim de Souza; Garcia, Júlia Assis de Souza Sampaio
year	2020
title	Urban modelling for evaluating photovoltaic potential through solar radiation incidence
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. 455-463
summary	This study aims to better ascertain the influence that urbanistic parameters exert on the production of solar photovoltaic energy regarding different contexts in the city. Modifications implemented between the years of 2012 and 2016, especially on variables such as Maximum Lot Coverage, Floor Area Ratio, and Setbacks, have been evaluated through virtual models that cover areas in three different city districts. Amongst other implications, an increase in the area occupied by the buildings, as well as a decrease in the distance between them, occurred, causing more mutual shading and the loss of the photovoltaic potential associated with the building envelope.
keywords	Urbanistic parameters, Photovoltaic solar energy, Virtual models, Architecture, Urbanism
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	ecaade2024_222
id	ecaade2024_222
authors	Bindreiter, Stefan; Sisman, Yosun; Forster, Julia
year	2024
title	Visualise Energy Saving Potentials in Settlement Development: By linking transport and energy simulation models for municipal planning
doi	https://doi.org/10.52842/conf.ecaade.2024.2.079
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 79–88
summary	To achieve Sustainable Development Goals, in addition to the switch to sustainable energy sources and energy-efficient buildings, transport offers a major lever for reducing energy consumption and greenhouse gases. The increasing demand for emission-free mobility (e.g. through electromobility) but also heat pumps has a direct impact on the electricity consumption of buildings and settlements. It is still difficult to simulate the effects and interactions of different measures as sector coupling concepts require comprehensible tools for ex ante evaluation of planning measures at the community level and the linking of domain-specific models (energy, transport). Using the municipality of Bruck an der Leitha (Austria) as an example, a digital twin based on an open data model (Bednar et al., 2020) is created for the development of methods, which can be used to simulate measures to improve the settlement structure within the municipality. Forecast models for mobility (Schmaus, 2019; Ritz, 2019) and the building stock are developed or applied and linked via the open data model to be able to run through development scenarios and variants. The forecasting and visualisation options created in the project form the basis for the ex-ante evaluation of measures and policies on the way to a Positive-Energy-District. By identifying and collecting missing data, data gaps are filled for the simulation of precise models in the specific study area. A digital, interactive 3D model is created to examine the forecast results and the different scenarios.
keywords	visualisation, decision support, sector coupling, holistic spatial energy models for municipal planning, (energy) saving potentials in settlement development
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2020_012
id	caadria2020_012
authors	Chatzi, Anna-Maria and Wesseler, Lisa-Marie
year	2020
title	OGOS+ - A Tool to Visualize Densification potential
doi	https://doi.org/10.52842/conf.caadria.2020.1.773
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. 773-782
summary	OGOS+ is a GIS data-based tool, which would offer urban planners, architects, and researchers visualisations of potential building mass in the form of 3D models. It compares the height of existing buildings to the maximum permitted height by German zoning law and calculates the potential building mass. To ensure minimum building footprints it only calculates the densification potential on top of existing buildings. It summarises information of the building potential for future utilisation. The goal is an increase of urban density achieved with micro interventions.
keywords	Urban densification; City Information Modeling and GIS; Big Data and Analytics in Architecture
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ecaade2020_290
id	ecaade2020_290
authors	Elesawy, Amr Alaaeldin, Signer, Mario, Seshadri, Bharath and Schlueter, Arno
year	2020
title	Aerial Photogrammetry in Remote Locations - A workflow for using 3D point cloud data in building energy modeling
doi	https://doi.org/10.52842/conf.ecaade.2020.1.723
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 723-732
summary	Building energy modelling (BEM) results are highly affected by the surrounding environment, due to the impact of solar radiation on the site. Hence, modelling the context is a crucial step in the design process. This is challenging when access to the geometrical data of the built and natural environment is unavailable as in remote villages. The acquisition of accurate data through conventional surveying proves to be costly and time consuming, especially in areas with a steep and complex terrain. Photogrammetry using drone-captured aerial images has emerged as an innovative solution to facilitate surveying and modeling. Nevertheless, the workflow of translating the photogrammetry output from data points to surfaces readable by BEM tools proves to be tedious and unclear. This paper presents a streamlined and reproducible approach for constructing accurate building models from photogrammetric data points to use for architectural design and energy analysis in early design stage projects.
keywords	Building Energy Modeling; Photogrammetry; 3D Point Clouds; Low-energy architecture; Multidisciplinary design; Education
series	eCAADe
email
last changed	2022/06/07 07:55

_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_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_337
id	caadria2020_337
authors	Rubinowicz, Pawel
year	2020
title	Sustainable development of a cityscape using the Visual Protection Surface method - optimization of parameters for urban planning
doi	https://doi.org/10.52842/conf.caadria.2020.1.863
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. 863-872
summary	The article discusses computer techniques used to analyse a cityscape based on 3D models. The study focuses on the application of the Visual Protection Surface (VPS) method which enables to analyse the absorption capacity of a city as regards new investment while bearing in mind the goal of preserving a set of strategic views. The outcome of the process is a surface or a map which determines the maximum height of buildings. The goal of the study is to adjust VPS input to apply the method in urban planning. Analyses focused on the following VPS parameters: a) accuracy of 3D model, b) density of strategic views, and c) VPS resolution. They have been carried out based on the case study of Gdansk, Poland. The study shows which of the parameters are crucial for the quality of the outcome and time of the computation process. All simulations presented in the article have been developed based on the C++ program prepared by author.
keywords	3D city models; cityscape protection; computational urban analyses; urban heritage; VPS method
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2020_267
id	ecaade2020_267
authors	Argin, Gorsev, Pak, Burak and Turkoglu, Handan
year	2020
title	Through the Eyes of (Post-)Flâneurs - Altering rhythm and visual attention in public space in the era of smartphones
doi	https://doi.org/10.52842/conf.ecaade.2020.1.239
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 239-248
summary	In the last decade, rapid penetration of smartphones into our everyday life introduced a new kind of urban wanderer named as the 'post-flâneur'. By navigating through the virtual and physical space with a smartphone, and taking and sharing photographs, post-flâneur walks and experiences the city in novel ways. This paper aims to investigate the effects of smartphone use on the human-environment relationship by comparing post-flânerie with flânerie in public space with a focus on two key indicators: alteration of 1) the visual attention and 2) the walking rhythm. In this regard, ten postgraduate Architecture students are asked to perform flânerie and post-flânerie consecutively in the historical city center of Ghent with an eye-tracker and a smartphone. During the flânerie condition, they walked and experienced the city without using a smartphone. In the post-flânerie condition, they used a smartphone, took pictures and uploaded them to an application. By analyzing the eye-tracker (number and duration of fixations) and the smartphone (location data and geolocated photographs) data, altering rhythm and visual attention during the flânerie and post-flânerie were compared. Preliminary results indicate that flânerie and post-flânerie differ in terms of rhythm and visual attention. The average duration of fixations on the environment were significantly lower in the post-flânerie condition while the average walking rhythm was faster but impeded from time to time. In addition, post-flâneurs' visual attention was on the smartphone during a significant part of the stationary activities which point out to an altered state of public space appropriation. The findings are significant because they reveal the novel spatial appropriations and experiences of the (post)public space -particularly "the honeypot effect" which was more significant in the post-flânerie condition. These observations evoke questions on how designers can rethink public space as a hybrid construct integrating the virtual and the physical.
keywords	post-flâneur; rhythm; visual attention; smartphone; eye-tracking
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia20_436
id	acadia20_436
authors	Chun Hin Fong, Jacky; Long Wun Poon, Adabelle; Sze Ngan, Wing; Hei Ho, Chung; Goepel, Garvin; Crolla, Kristof
year	2020
title	Augmenting Craft with Mixed Reality
doi	https://doi.org/10.52842/conf.acadia.2020.1.436
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. 436-444.
summary	This paper discusses novel methods for and advantages of integrating augmented reality (AR) and photogrammetry in hand clay-sculpting workflows. These techniques permit nontrained users to achieve higher precision during the sculpting process by holographically overlaying instructions from digital 3D source geometry on top of the sculpting material. By employing alternative notational systems in design implementation methods, the research positions itself in a postdigital context aimed at humanizing digital technologies. Throughout history, devices have been developed to increase production, such as Henry Dexter’s 1842 “Apparatus for Sculptors” for marble sculpting. Extrapolating from this, the workflow presented in this paper uses AR to overlay extracted information from 3D models directly onto the sculptor’s field of vision. This information can then become an AR-driven guidance system that assists the sculptor. Using the Microsoft HoloLens, holographic instructions are introduced in the production sequence, connecting the analog sculpture fabrication directly with a digital environment, thus augmenting the craftspeople’s agency. A series of AR-aided sculpting methods were developed and tested in a demonstrator case study project that created a small-scale clay copy of Henry Moore’s Sheep Piece (1971–1972). This paper demonstrates how user-friendly software and hardware tools have lowered the threshold for end users to develop new methods that straightforwardly facilitate and improve their crafts’ effectiveness and agency. This shows that the fusion of computational design technology and AR visualization technology can innovate a specific craft’s design and production workflow, opening the door for further application developments in more architecture-specific fabrication contexts.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2020_962
id	sigradi2020_962
authors	Evrim, Berfin; Davis, Grant; Tubay, Josh; Gursoy, Benay
year	2020
title	Recipes for Waste-Tooling: Using Food Waste in Design
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. 962-967
summary	In this research, we propose an alternate consumption cycle in which the traditional landfill waste disposal model is averted by developing design objects that are fabricated with household biowaste materials. Food decomposition in landfills not only wastes the energy and emissions input into the original production process, but also releases methane. By rerouting this waste for secondary use as novel design objects and tools, in this research we seek to prevent some amounts of household biowaste from reaching landfills. This process, that we call waste-tooling, repurposes food waste to make kitchen tools by employing different fabrication strategies.
keywords	Circular economy, Biowaste, 3D printing
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	ecaade2020_131
id	ecaade2020_131
authors	Gortazar-Balerdi, Ander and Markusiewicz, Jacek
year	2020
title	Legible Bilbao - Computational method for urban legibility
doi	https://doi.org/10.52842/conf.ecaade.2020.1.209
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 209-218
summary	Legibility is a core concept in spatial cognition theories since Kevin Lynch published The Image of the City in 1960. It is the ability of a city to be interpreted and easily used, travelled and enjoyed, from the pedestrian's perspective. Following a proposal in the participatory budget process of the city of Bilbao, we wrote a technical report to improve the urban legibility of the city and facilitate wayfinding through innovations in signage. This paper aims to present this project, which is an application of computational methods to measure urban legibility that resulted in a proposal for a new wayfinding strategy for Bilbao. The method is based on GIS data, and it simulates urban processes using dedicated algorithms, allowing us to perform two analyses that resulted in two overlapping maps: a heat map of decision points and a map of visual openings. It allowed us to perceive common urban elements that can help to decide both the location of the wayfinding signage and how it should provide the relevant information. In addition, the research introduces the concept of anticipation points, as a complement to the existing idea of decision points.
keywords	Wayfinding; Urban legibility; Spatial cognition
series	eCAADe
email
last changed	2022/06/07 07:51

_id	caadria2020_032
id	caadria2020_032
authors	Gu, Zhuoxing and Yang, Chunxia
year	2020
title	Generation of Public Space Structure Based on Digital Multi-agent System - Taking the interaction between self-consensus "Stigmergy" particles and the old city area as an example
doi	https://doi.org/10.52842/conf.caadria.2020.1.285
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. 285-294
summary	In the study, the ant colony behavior was simulated to establish a parametric multi-agent system with independent consensus "Stigmergy" for interaction with the site. In the experiment, the initial points of the particles correspond to the key historical buildings, and the target points correspond to the important public space nodes. Edit and adjust the motion characteristics, search features, generation and disappearance characteristics of the simulated particles to obtain the main consensus particle swarm distribution and the distributed consensus particle swarm distribution. This form has a compliant or conflicting relationship with the existing urban environment. Using the contours of the self-consensus spatial form, the particle swarm density, and the pointing relationship between the particles and the building can provide a basis for the transformation and renewal of the existing urban environment, thus forming a spatial transformation strategy that more closely matches the user behavior in the space.
keywords	Multi-agent system; Particle property construction; Stigmergy; Self-consensus particles; Public space structure
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	acadia20_658
id	acadia20_658
authors	Ho, Brian
year	2020
title	Making a New City Image
doi	https://doi.org/10.52842/conf.acadia.2020.1.658
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. 658-667.
summary	This paper explores the application of computer vision and machine learning to streetlevel imagery of cities, reevaluating past theory linking urban form to human perception. This paper further proposes a new method for design based on the resulting model, where a designer can identify areas of a city tied to certain perceptual qualities and generate speculative street scenes optimized for their predicted saliency on labels of human experience. This work extends Kevin Lynch’s Image of the City with deep learning: training an image classification model to recognize Lynch’s five elements of the city image, using Lynch’s original photographs and diagrams of Boston to construct labeled training data alongside new imagery of the same locations. This new city image revitalizes past attempts to quantify the human perception of urban form and improve urban design. A designer can search and map the data set to understand spatial opportunities and predict the quality of imagined designs through a dynamic process of collage, model inference, and adaptation. Within a larger practice of design, this work suggests that the curation of archival records, computer science techniques, and theoretical principles of urbanism might be integrated into a single craft. With a new city image, designers might “see” at the scale of the city, as well as focus on the texture, color, and details of urban life.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	cdrf2019_93
id	cdrf2019_93
authors	Jiaxin Zhang , Tomohiro Fukuda , and Nobuyoshi Yabuki
year	2020
title	A Large-Scale Measurement and Quantitative Analysis Method of Façade Color in the Urban Street Using Deep Learning
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_9
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	Color planning has become a significant issue in urban development, and an overall cognition of the urban color identities will help to design a better urban environment. However, the previous measurement and analysis methods for the facade color in the urban street are limited to manual collection, which is challenging to carry out on a city scale. Recent emerging dataset street view image and deep learning have revealed the possibility to overcome the previous limits, thus bringing forward a research paradigm shift. In the experimental part, we disassemble the goal into three steps: firstly, capturing the street view images with coordinate information through the API provided by the street view service; then extracting facade images and cleaning up invalid data by using the deep-learning segmentation method; finally, calculating the dominant color based on the data on the Munsell Color System. Results can show whether the color status satisfies the requirements of its urban plan for façade color in the street. This method can help to realize the refined measurement of façade color using open source data, and has good universality in practice.
series	cdrf
email
last changed	2022/09/29 07:51

_id	caadria2020_190
id	caadria2020_190
authors	Karakiewicz, Justyna, Holguin, Jose Rafael and Kvan, Thomas
year	2020
title	Hope in Perturbanism
doi	https://doi.org/10.52842/conf.caadria.2020.2.041
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. 41-50
summary	A fundamental assumption in this conference is that human actions in creating and modifying our constructed environments can be rethought and made better for the environment. There are few laboratories in which to conduct research; an isolated island system offers one such opportunity. This paper reflects on work that carried out in the past five years in the Galapagos Islands by a collaborative of researchers from five institutions. The research examines potential positive changes in urban settlements and their impact on a fragile ecology of the islands. In this work, we illustrate how small perturbations (disturbances) within urban systems can lead to changes not only within urban form but also in the citizen's environmental awareness and how these, in turn, can lead to positive changes in the environment. The paper discusses applications of models we developed using Python scripting, GIS, and agent-based modelling, as we applied them to design strategies, built outcomes and community awareness.
keywords	complex adaptive systems; urban design; CAS; panarchy
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2020_431
id	caadria2020_431
authors	Kim, Jong Bum, Balakrishnan, Bimal and Aman, Jayedi
year	2020
title	Environmental Performance-based Community Development - A parametric simulation framework for Smart Growth development in the United States
doi	https://doi.org/10.52842/conf.caadria.2020.1.873
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. 873-882
summary	Smart Growth is an urban design movement initiated by Environmental Protection Agency (EPA) in the United States (Smart Growth America, 2019). The regulations of Smart Growth control urban morphologies such as building height, use, position, section configurations, faÃ§ade configurations, and materials, which have an explicit association with energy performances. This research aims to analyze and visualize the impact of Smart Growth developments on environmental performances. This paper presents a parametric modeling and simulation framework for Smart Growth developments that can model the potential community development scenarios, simulate the environmental footprints of each parcel, and visualize the results of modeling and simulation. We implemented and examined the proposed framework through a case study of two Smart Growth regulations: Columbia Unified Development Code (UDC) in Missouri (City of Columbia Missouri, 2017) and Overland Park Downtown Form-based Code (FBC) in Kansas City (City of Overland Park, 2017, 2019). Last, we discuss the implementation results, the limitations of the proposed framework, and the future work. We anticipate that the proposed method can improve stakeholders' understanding of how Smart Growth developments are associated with potential environmental footprints from an expeditious and thorough exploration of what-if scenarios of the multiple development schemes.
keywords	Smart Growth; Building Information Modeling (BIM); Parametric Simulation; Solar Radiation
series	CAADRIA
email
last changed	2022/06/07 07:52

_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	sigradi2021_300
id	sigradi2021_300
authors	Leiro, Manoela, Darzé, Júlia, Rios, Matheus and Lemos, Paulo
year	2021
title	An Experience with the Use of a BIM Tool in the Thermal Environmental Comfort Discipline
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 889–900
summary	This article presents a didactic experience carried out with the use of a BIM tool in the Thermal Environmental Comfort discipline of the graduate course in Architecture and Urbanism of a private Higher Education Institution in the city of Salvador-Bahia. Starting in 2020, students began designing solar protection devices using a geometric model in Revit. The method described in Annex I of the Technical Regulation on the Quality of Energy Efficiency Level in Residential Buildings (RTQ-R) was applied. The results obtained showed a better understanding by the students about the importance of correctly sizing solar protection devices for different orientations.
keywords	BIM, Ensino, Conforto Ambiental Térmico
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	acadia20_170
id	acadia20_170
authors	Li, Peiwen; Zhu, Wenbo
year	2020
title	Clustering and Morphological Analysis of Campus Context
doi	https://doi.org/10.52842/conf.acadia.2020.2.170
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. 170-177.
summary	“Figure-ground” is an indispensable and significant part of urban design and urban morphological research, especially for the study of the university, which exists as a unique product of the city development and also develops with the city. In the past few decades, methods adapted by scholars of analyzing the figure-ground relationship of university campuses have gradually turned from qualitative to quantitative. And with the widespread application of AI technology in various disciplines, emerging research tools such as machine learning/deep learning have also been used in the study of urban morphology. On this basis, this paper reports on a potential application of deep clustering and big-data methods for campus morphological analysis. It documents a new framework for compressing the customized diagrammatic images containing a campus and its surrounding city context into integrated feature vectors via a convolutional autoencoder model, and using the compressed feature vectors for clustering and quantitative analysis of campus morphology.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

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