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

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_id ecaadesigradi2019_464
id ecaadesigradi2019_464
authors Santiago, Pedro
year 2019
title Evolutionary Optimization of Building Facade Form for Energy and Comfort in Urban Environment through BIM and Algorithmic Modeling - A case study in Porto, Portugal
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 153-160
doi https://doi.org/10.52842/conf.ecaade.2019.2.153
summary Consolidated urban areas usually present a challenge for the sustainable design decisions for the architect. The site, orientation and surrounding built environment compromise both passive and active systems, shortening the possible optimization measures available, leaving the designer with doubts as far as efficiency is concerned.BIM methodologies and visual programming languages have opened up a very wide range of design and analysis tools allowing the architect to make informed decisions based on data extracted from the models. Nonetheless it's optimization is through a slow process of trial and error, creating a significant limitation. This paper discusses the potentialities of the use of evolutionary algorithms to generate optimized solutions for facade solar orientation. A comparison between three different evolutionary algorithms aiming for solar radiation, inside average temperature allows to conclude the best result versus time consumed. Although under similar results the multi-objective EA represents the best compromise between time and final objective on the case study chosen for the paper. The interconnectivity in real time of BIM and algorithmic modeling softwares represents an advantage for time saving sustainable design decisions.
keywords BIM; Evolutionary Optimization; Sustainable design
series eCAADeSIGraDi
email
last changed 2022/06/07 07:56

_id ecaadesigradi2019_309
id ecaadesigradi2019_309
authors Dokonal, Wolfgang and Medeiros, Marina Lima
year 2019
title I Want To Ride My Bicycle – I Want To Ride My Bike - Using low cost interfaces for Virtual reality
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 465-472
doi https://doi.org/10.52842/conf.ecaade.2019.2.465
summary The paper will give an overview of our experiments in the past years in developing different interfaces and workflows for the use of low cost Head Mounted Displays (HMD) for Virtual Reality solution. We are mainly interested in using VR tools for designers in the early phases of their design. In our opinion VR tools can help to bring back a better understanding of space and scale which have been lost a little bit in the last century with the change from analogue to digital tools. After teaching architectural and urban design for many years we can clearly say that this effect is still ongoing and it is time that we develop digital tools that try to reverses thi effect. We will then concentrate within this paper on discussing some aspects of data reduction that are important to be able to use these tools in the design process. We are also showing how we use our interfaces presenting some results of student projects for a design in Hong Kong and the strategies and methods for using VR for a ongoing work on a project about the establishment of a so called "bicycle highway" in the city of Graz in Austria.
keywords Virtual Reality; Head Mounted Displays; Low Cost Interfaces; EeZee click
series eCAADeSIGraDi
email
last changed 2022/06/07 07:55

_id ecaadesigradi2019_398
id ecaadesigradi2019_398
authors Fink, Theresa and Koenig, Reinhard
year 2019
title Integrated Parametric Urban Design in Grasshopper / Rhinoceros 3D - Demonstrated on a Master Plan in Vienna
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 313-322
doi https://doi.org/10.52842/conf.ecaade.2019.3.313
summary By 2050 an estimated 70 percent of the world's population will live in megacities with more than 10 million citizens (Renner 2018). This growth calls for new target-oriented, interdisciplinary methods in urban planning and design in cities to meet sustainable development targets. In response, this paper exemplifies an integrated urban design process on a master plan project in Vienna. The objective is to investigate the potential towards a holistic, digital, urban design process aimed at the development of a practical methodology for future designs. The presented urban design process includes analyses and simulation tools within Rhinoceros 3D and its plug-in Grasshopper as quality-enhancing mediums that facilitate the creative approaches in the course of the project. The increase in efficiency and variety of design variants shows a promising future for the practical suitability of this approach.
keywords urban design; parametric modeling; urban simulation; design evaluation; environmental performance
series eCAADeSIGraDi
email
last changed 2022/06/07 07:50

_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
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
doi https://doi.org/10.52842/conf.caadria.2020.1.873
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, façade 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 caadria2019_610
id caadria2019_610
authors Sayah, Iman and Schnabel, Marc Aurel
year 2019
title Amplifying Citizens' Voices in Smart Cities - An Application of Social Media Sentiment Analysis in Urban Sciences
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 773-782
doi https://doi.org/10.52842/conf.caadria.2019.2.773
summary In the past decade, urban researchers have paid significant attention to the emergence of computer science and urban planning. According to the literature, social media as a pool of real-time citizen feedback can be investigated to inform smart city synergies. However, the success factors of such an approach have not been thoroughly investigated. In this study, various factors were derived from an extensive literature review to create an efficient e-participation platform. It is explained how our proposed platform 1) complies to the data protection regulations 2) uses advanced text analysis and natural language processing (NLP) tools to identify opinions and emotions 3) maintains persistent communication between citizens and city planners 4) incorporates creative visualisation techniques 5) is informative for its target audience 6) takes into consideration the socio-cultural diversity and 7) can be used as an informing tool in combination with offline methods of participation.
keywords sentiment analysis; e-participation; social media mining; big data analytics; citizen engagement
series CAADRIA
email
last changed 2022/06/07 07:57

_id caadria2019_070
id caadria2019_070
authors White, Michael, Haeusler, M. Hank and Zavoleas, Yannis
year 2019
title Planting Design by Simulated Competition - A computational-ecological model for the selection and distribution of plant species on urban roof terraces
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 31-40
doi https://doi.org/10.52842/conf.caadria.2019.2.031
summary This paper investigates ecologically-inspired computational strategies for the intelligent performance based landscape design of urban rooftop gardens. Plant communities in nature form resilient layouts that maximise use of available resources through a process of competitive pressure. Simulating these processes could allow us to design vegetation systems for the built environment that are adapted to variables on site, while meeting our design goals. This paper uses an agent-based model to ask if simulated ecological competition can be used as a computational method for producing effective planting layouts for urban roof terraces. A case study will be conducted to review the performance of the simulation. Through further research we will examine whether these strategies can also optimise for benefits including increased biodiversity, favourable microclimate, and reduced energy and water use.
keywords Computational Landscape Architecture / Ecology; Urban Heat Island; Rooftop Terrace Gardens; Emergence; Climate Change
series CAADRIA
email
last changed 2022/06/07 07:57

_id acadia19_616
id acadia19_616
authors Sitnikov, Vasily; Eigenraam, Peter; Papanastasis, Panagiotis; Wassermann-Fry, Stephan
year 2019
title IceFormwork for Cast HPFRC Elements
source ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 616-627
doi https://doi.org/10.52842/conf.acadia.2019.616
summary The following paper introduces a design implementation of an innovative fabrication method that aims at enabling an environmental and automated production of geometrically challenging cast concrete elements. The fabrication method is based on the use of ice as the molding material for cast concrete. Empirical testing of ice CNC-processing, and a concrete mix capable of hardening at subzero temperatures was undertaken during previous research stages. The current paper illustrates a practical application of ice formwork. A façade rain screen has been developed using algorithmic modeling to illustrate a common case in which a non-repetitive geometrical pattern requires individual formwork to be produced for each element. Existing industrial methods capable of delivering such a project for formidable costs are based on CNC-processed expanded polystyrene (EPS), wood-based materials, or industrial wax formwork. These materials have been found to be either difficult to recycle, expensive, insufficiently strong, energy- or labor-intensive to produce. Preliminary evaluation has shown that ice, used in their place, facilitates a much cleaner, economic, and an even more energy-efficient process. Moreover, a very gentle demolding process through ice-thawing eliminates any shock stresses exposed on newly cast concrete and provides optimal curing conditions. As a result, the thickness of façade elements can be reduced while still fulfilling all structural requirements.
series ACADIA
type normal paper
email
last changed 2022/06/07 07:56

_id sigradi2023_416
id sigradi2023_416
authors Machado Fagundes, Cristian Vinicius, Miotto Bruscato, Léia, Paiva Ponzio, Angelica and Chornobai, Sara Regiane
year 2023
title Parametric environment for internalization and classification of models generated by the Shap-E tool
source García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1689–1698
summary Computing has been increasingly employed in design environments, primarily to perform calculations and logical decisions faster than humans could, enabling tasks that would be impossible or too time-consuming to execute manually. Various studies highlight the use of digital tools and technologies in diverse methods, such as parametric modeling and evolutionary algorithms, for exploring and optimizing alternatives in architecture, design, and engineering (Martino, 2015; Fagundes, 2019). Currently, there is a growing emergence of intelligent models that increasingly integrate computers into the design process. Demonstrating great potential for initial ideation, artificial intelligence (AI) models like Shap-E (Nichol et al., 2023) by OpenAI stand out. Although this model falls short of state-of-the-art sample quality, it is among the most efficient orders of magnitude for generating three-dimensional models through AI interfaces, offering practical balance for certain use cases. Thus, aiming to explore this gap, the presented study proposes an innovative design agency framework by employing Shap-E connected with parametric modeling in the design process. The generation tool has shown promising results; through generations of synthetic views conditioned by text captions, its final output is a mesh. However, due to the lack of topological information in models generated by Shap-E, we propose to fill this gap by transferring data to a parametric three-dimensional surface modeling environment. Consequently, this interaction's use aims to enable the transformation of the mesh into quantifiable surfaces, subject to collection and optimization of dimensional data of objects. Moreover, this work seeks to enable the creation of artificial databases through formal categorization of parameterized outputs using the K-means algorithm. For this purpose, the study methodologically orients itself in a four-step exploratory experimental process: (1) creation of models generated by Shap-E in a pressing manner; (2) use of parametric modeling to internalize models into the Grasshopper environment; (3) generation of optimized alternatives using the evolutionary algorithm (Biomorpher); (4) and classification of models using the K-means algorithm. Thus, the presented study proposes, through an environment of internalization and classification of models generated by the Shap-E tool, to contribute to the construction of a new design agency methodology in the decision-making process of design. So far, this research has resulted in the generation and classification of a diverse set of three-dimensional shapes. These shapes are grouped for potential applications in machine learning, in addition to providing insights for the refinement and detailed exploration of forms.
keywords Shap-E, Parametric Design, Evolutionary Algorithm, Synthetic Database, Artificial Intelligence
series SIGraDi
email
last changed 2024/03/08 14:09

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

_id caadria2019_080
id caadria2019_080
authors Green, Stephen, King, Geoff, Fabbri, Alessandra, Gardner, Nicole, Haeusler, M. Hank and Zavoleas, Yannis
year 2019
title Designing Out Urban Heat Islands - Optimisation of footpath materials with different albedo value through evolutionary algorithms to address urban heat island effect
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 603-612
doi https://doi.org/10.52842/conf.caadria.2019.2.603
summary The Urban Heat Island (UHI) effect is pronounced in dense urban developments, and particular an issue in the case study city of Parramatta, where temperature increases are impacting use of public space, health, and economic productivity. To mitigate against elevated temperatures in built up areas, this research explores the optimisation of paving material layouts through using an evolutionary algorithm. High albedo (reflective) materials are objectively cooler than low albedo (absorbent) materials yet tend to be more expensive. To reduce the amount of heat absorbent pavement materials whilst keeping in mind material costs, a range of materials of different albedo levels (reflectivity) can be assigned on the same path using an evolutionary algorithm to optimise the coolest materials for the cheapest price. Over the course of this paper, this research aim will be approached using visual scripting software such as Grasshopper to simulate daylight analysis and to generate an optimisation algorithm. Previous research on the topics of UHI have revealed different methods for solving specific problems, all focusing on using software analysis to determine an informed decision on construction. The paper contributes via a computational approach of material selection to battle urban heat island effects.
keywords urban heat island; albedo value; material properties; evolutionary algorithm ; landscape architecture
series CAADRIA
email
last changed 2022/06/07 07:51

_id caadria2019_266
id caadria2019_266
authors Indraprastha, Aswin and Dwi Pranata Putra, Bima
year 2019
title Informed Walkable City Model - Developing A Multi-Objective Optimization Model for Evaluating Walkability Concept
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 161-170
doi https://doi.org/10.52842/conf.caadria.2019.2.161
summary This study presents an informed city analysis methodology as a tool for evaluating the concept of walkability for the existing urban area. The aim of this study was to propose an integrative approaches enable optimization of urban design element and walkability amenities under certain walkability performance criteria. The parametric methods are being developed in three stages of modeling: 1) City data modeling; 2) Walkability scores and indicators modeling; 3) Optimization model of the urban area. In the walk score algorithm, we modified three elements that determine walk score result: Walk Score Categories, Distance Decay Function and Pedestrian Friendliness Metric. We developed the customized algorithm based on the data gathered from field observation and sample interviews to normalize and define values in the walk score algorithm. The result is a parametric model to evaluate walkability concept in a certain urban area considering quantified factors that determine walkability scores. The model furthermore seeks to optimize walkability score by assessing new amenities on an existing urban area using multi-objective optimization method that produces an integrative method of urban analysis.
keywords walkability; walk score; parametric models; multi-objective optimization; informed city analysis
series CAADRIA
email
last changed 2022/06/07 07:50

_id ecaadesigradi2019_567
id ecaadesigradi2019_567
authors Konieva, Kateryna, Joos, Michael Roberto, Herthogs, Pieter and Tunçer, Bige
year 2019
title Facilitating Communication in a Design Process using a Web Interface for Real-time Interaction with Grasshopper Scripts
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 731-738
doi https://doi.org/10.52842/conf.ecaade.2019.2.731
summary Urban design project development encompasses a wide range of disciplines and approaches, which often have separate goals, frameworks, and software tools. Lack of timely alignment of the disconnected expert inputs to the common vision leads to an increasing number of revisions and decreases chances for finding a compromise solution. We developed an intuitive browser-supported interface in order to incorporate various types of expert inputs and ways of representing the information to take a first step towards facilitating collaborative decision-making processes. The current paper describes the application of the developed tool on three exemplary case studies, where the expert and non-expert users' inputs are combined and analysed using Grasshopper scripts at the back-end. Pilot user studies conducted with professionals have shown that the tool has potential to facilitate collaboration across disciplines and compromise decisions, while most of the participants were still more likely to use it for communication with customers rather than the design team. It suggests that the interaction scheme of different actors with the tool needs to correspond better to the interaction of different actors during common negotiation processes. The findings suggest that the type of involvement of different stakeholders should be explored further in order to find the balance in functionality suitable for different parties.
keywords computational design; design exploration; collaborative design
series eCAADeSIGraDi
email
last changed 2022/06/07 07:51

_id ecaadesigradi2019_114
id ecaadesigradi2019_114
authors Lee, Gyueun and Lee, Ji-hyun
year 2019
title Sustainable Design Framework for the Anthropocene - Preliminary research of integrating the urban data with building information
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 561-568
doi https://doi.org/10.52842/conf.ecaade.2019.2.561
summary In terms of the efficiency and informatization in the architecture and construction industry, the Fourth Industrial Revolution presents positive aspects of technological development, but we need to discuss the expanded concept, the Anthropocene. The era of the human-made environment having a powerful influence on the global system is called Anthropocene. Since the 1950s, many indicators representing human activity and earth system have shown the 'Great acceleration'. Currently, lots of urban data including building information, construction waste, and GHG emission ratio is indicating how much the urban area was contaminated with artifacts. So, the integrated planning and design approach are needed for sustainable design with data integration. This paper examines the GIS, LCA and BIM tools focusing on building information and environmental load. With the literature review, the computational system for sustainable design is demonstrated to integrate into one holistic framework for the Anthropocene. There were some limitations that data was simplified during the statistical processing, and the framework has limitations that must be demonstrated by actual data in the future. However, this could be an early approach to integrating geospatial and environmental analysis with the design framework. And it can be applied to another urban area for sustainable urban models for the Anthropocene
keywords Anthropocene; Sustainable Design Framework; Urban Data Analysis; GIS; LCA; BIM
series eCAADeSIGraDi
email
last changed 2022/06/07 07:51

_id acadia20_38
id acadia20_38
authors Mueller, Stephen
year 2020
title Irradiated Shade
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. 38-46.
doi https://doi.org/10.52842/conf.acadia.2020.1.038
summary The paper details computational mapping and modeling techniques from an ongoing design research project titled Irradiated Shade, which endeavors to develop and calibrate a computational toolset to uncover, represent, and design for the unseen dangers of ultraviolet radiation, a growing yet underexplored threat to cities, buildings, and the bodies that inhabit them. While increased shade in public spaces has been advocated as a strategy for “mitigation [of] climate change” (Kapelos and Patterson 2014), it is not a panacea to the threat. Even in apparent shade, the body is still exposed to harmful, ambient, or “scattered” UVB radiation. The study region is a binational metroplex, a territory in which significant atmospheric pollution and the effects of climate change (reduced cloud cover and more “still days” of stagnant air) amplify the “scatter” of ultraviolet wavelengths and UV exposure within shade, which exacerbates urban conditions of shade as an “index of inequality” (Bloch 2019) and threatens public health. Exposure to indirect radiation correlates to the amount of sky visible from the position of an observer (Gies and Mackay 2004). The overall size of a shade structure, as well as the design of openings along its sides, can greatly impact the UV protection factor (UPF) (Turnbull and Parisi 2005). Shade, therefore, is more complex than ubiquitous urban and architectural “sun” and “shadow studies” are capable of representing, as such analyses flatten the three-dimensional nature of radiation exposure and are “blind” to the ultraviolet spectrum. “Safe shade” is contingent on the nuances of the surrounding built environment, and designers must be empowered to observe and respond to a wider context than current representational tools allow.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

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

_id caadria2019_350
id caadria2019_350
authors Tomarchio, Ludovica, Hasler, Stephanie, Herthogs, Pieter, Müller, Johannes, Tunçer, Bige and He, Peijun
year 2019
title Using an Online Participation Tool to Collect Relevant Data for Urban Design - The construction of two participation exercices
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 747-756
doi https://doi.org/10.52842/conf.caadria.2019.2.747
summary This paper discusses the design of an online digital participation campaign, developed as an academic research project in Singapore. In order to develop appropriate exercises which fitted the tool and the context, we addressed several questions: how can online participation tools maintain a negotiation and education power? What data generated by citizens, in the form of a design proposals, is useful for urban design? We created two different exercises, at different scales: one exercise asking people to design proposals with functional blocks and one where citizens could decide the equipment and furniture in a public space. For each exercise we discuss the scale, the elements, the educating and mediating impact, but also the way we intended to use the gathered local knowledge in urban design. The exercise did not receive the expected contributions, gathering little attention from internet users. More results were obtained using an offline experimental setup. In conclusion, we reconsider the weakest points of the design in a critical analysis and provide direction for future online participation tools.
keywords participation; urban design ; online tool; engagement
series CAADRIA
email
last changed 2022/06/07 07:58

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

_id caadria2019_099
id caadria2019_099
authors Xu, Jianan and Li, Biao
year 2019
title Application of Case-Based Methods and Information Technology in Urban Design - The Renewal Design of the urban region around Roma Railway Station
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 625-634
doi https://doi.org/10.52842/conf.caadria.2019.1.625
summary The research explores the application of the case-based design methods and information technology in urban design by processing OpenStreetMap (OSM) database. Taking the renewal design of the area around the Roma Termini Railway Station as an example, the research has following two purposes. One is to update the abandoned area from the point of view of building function, the other is to design the flyovers connecting the railway station with the pedestrian path simulation. Both of them aim at exploring new methods of urban renewal design by using map information data and providing reference cases for designers.
keywords Urban Design; Generative Design; Case Base; Procedural Modeling
series CAADRIA
email
last changed 2022/06/07 07:57

_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
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
doi https://doi.org/10.52842/conf.ecaade.2024.2.079
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 ecaadesigradi2019_346
id ecaadesigradi2019_346
authors Kaftan, Martin, Sautter, Sebastian and Kubicek, Bernhard
year 2019
title Integrating BIPV during Early Stages of Building Design
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 139-144
doi https://doi.org/10.52842/conf.ecaade.2019.2.139
summary In the quest to achieve the ambitious climate and clean energy targets the broad implementation of Integrated Photovoltaics (BIPV) is one of the keys. Photovoltaic (PV) modules can be installed above or on current roofing or traditional wall structures. In addition, BIPV devices substitute the skin of the exterior construction frame, i.e. the weather screen, thus simultaneously acting as both a climate screen and an energy producing source. However, while the integral planning strategy to building projects promotes the effective execution of BIPV, the limitation lies in the absence of both instruments and easy-to-use planning aid guidelines, particularly by non-PV experts in the early design stage. This study presents computational methods that help to quickly analyze the BIPV potential for a given building project and to suggest the optimal economical amount and location of the panels based on the building's energy demand profile.
keywords building integrated photovoltaic (BIPV); integral planning; design rules; simplified models; machine learning
series eCAADeSIGraDi
email
last changed 2022/06/07 07:52

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